SECURITY AND PRIVACY ASPECTS OF MOBILE PLATFORMS AND APPLICATIONS

Mobile smart devices (such as smartphones and tablets) emerged to dominant computing platforms for end-users. The capabilities of these convenient mini-computers seem nearly boundless: They feature compelling computing power and storage resources, new interfaces such as Near Field Communication (NFC) and Bluetooth Low Energy (BLE), connectivity to cloud services, as well as a vast number and variety of apps. By installing these apps, users can turn a mobile device into a music player, a gaming console, a navigation system, a business assistant, and more. In addition, the current trend of increased screen sizes make these devices reasonable replacements for traditional (mobile) computing platforms such as laptops. On the other hand, mobile platforms process and store the extensive amount of sensitive information about their users, ranging from the user’s location data to credentials for online banking and enterprise Virtual Private Networks (VPNs). This raises many security and privacy concerns and makes mobile platforms attractive targets for attackers. The rapid increase in number, variety and sophistication of attacks demonstrate that the protection mechanisms offered by mobile systems today are insufficient and improvements are necessary in order to make mobile devices capable of withstanding modern security and privacy threats. This dissertation focuses on various aspects of security and privacy of mobile platforms. In particular, it consists of three parts: (i) advanced attacks on mobile platforms and countermeasures; (ii) online authentication security for mobile systems, and (iii) secure mobile applications and services. Specifically, the first part of the dissertation concentrates on advanced attacks on mobile platforms, such as code re-use attacks that hijack execution flow of benign apps without injecting malicious code, and application-level privilege escalation attacks that allow malicious or compromised apps to gain more privileges than were initially granted. In this context, we develop new advanced code re-use attack techniques that can bypass deployed protection mechanisms (e.g., Address Space Layout Randomization (ASLR)) and cannot be detected by any of the existing security tools (e.g., return address checkers). Further, we investigate the problem of application-level privilege escalation attacks on mobile platforms like Android, study and classify them, develop proof of concept exploits and propose countermeasures against these attacks. Our countermeasures can mitigate all types of application-level privilege escalation attacks, in contrast to alternative solutions proposed in literature. In the second part of the dissertation we investigate online authentication schemes frequently utilized by mobile users, such as the most common web authentication based upon the user’s passwords and the recently widespread mobile 2-factor authentication (2FA) which extends the password-based approach with a secondary authenticator sent to a user’s mobile device or generated on it (e.g, a One-time Password (OTP) or Transaction Authentication Number (TAN)). In this context we demonstrate various weaknesses of mobile 2FA schemes deployed for login verification by global Internet service providers (such as Google, Dropbox, Twitter, and Facebook) and by a popular Google Authenticator app. These weaknesses allow an attacker to impersonate legitimate users even if their mobile device with the secondary authenticator is not compromised. We then go one step further and develop a general attack method for bypassing mobile 2FA schemes. Our method relies on a cross-platform infection (mobile-to-PC or PC-to-mobile) as a first step in order to compromise the Personal Computer (PC) and a mobile device of the same user. We develop proof-of-concept prototypes for a cross-platform infection and show how an attacker can bypass various instantiations of mobile 2FA schemes once both devices, PC and the mobile platform, are infected. We then deliver proof-of-concept attack implementations that bypass online banking solutions based on SMS-based TANs and visual cryptograms, as well as login verification schemes deployed by various Internet service providers. Finally, we propose a wallet-based secure solution for password-based authentication which requires no secondary authenticator, and yet provides better security guaranties than, e.g., mobile 2FA schemes. The third part of the dissertation concerns design and development of security sensitive mobile applications and services. In particular, our first application allows mobile users to replace usual keys (for doors, cars, garages, etc.) with their mobile devices. It uses electronic access tokens which are generated by the central key server and then downloaded into mobile devices for user authentication. Our solution protects access tokens in transit (e.g., while they are downloaded on the mobile device) and when they are stored and processed on the mobile platform. The unique feature of our solution is offline delegation: Users can delegate (a portion of) their access rights to other users without accessing the key server. Further, our solution is efficient even when used with constraint communication interfaces like NFC. The second application we developed is devoted to resource sharing among mobile users in ad-hoc mobile networks. It enables users to, e.g., exchange files and text messages, or share their tethering connection. Our solution addresses security threats specific to resource sharing and features the required security mechanisms (e.g., access control of resources, pseudonymity for users, and accountability for resource use). One of the key features of our solution is a privacy-preserving access control of resources based on FoF Finder (FoFF) service, which provides a user-friendly means to configure access control based upon information from social networks (e.g., friendship information) while preserving user privacy (e.g., not revealing their social network identifiers). The results presented in this dissertation were included in several peer-reviewed publications and extended technical reports. Some of these publications had significant impact on follow up research. For example, our publications on new forms of code re-use attacks motivated researchers to develop more advanced forms of ASLR and to re-consider the idea of using Control-Flow Integrity (CFI). Further, our work on application-level privilege escalation attacks was followed by many other publications addressing this problem. Moreover, our access control solution using mobile devices as access tokens demonstrated significant practical impact: in 2013 it was chosen as a highlight of CeBIT – the world’s largest international computer expo, and was then deployed by a large enterprise to be used by tens of thousands of company employees and millions of customers

Mitigating security and privacy threats from untrusted application components on Android

Aufgrund von Androids datenzentrierter und Open-Source Natur sowie von fehlerhaften/bösartigen Apps durch das lockere Marktzulassungsverfahren, ist die Privatsphäre von Benutzern besonders gefährdet. Diese Dissertation präsentiert eine Reihe von Forschungsarbeiten, die die Bedrohung der Sicherheit/Privatsphäre durch nicht vertrauenswürdige Appkomponenten mindern. Die erste Arbeit stellt eine Compiler-basierte Kompartmentalisierungslösung vor, die Privilegientrennung nutzt, um eine starke Barriere zwischen der Host-App und Bibliothekskomponenten zu etablieren, und somit sensible Daten vor der Kompromittierung durch neugierige/bösartige Werbe-Bibliotheken schützt. Für fehleranfällige Bibliotheken von Drittanbietern implementieren wir in der zweiten Arbeit ein auf API-Kompatibilität basierendes Bibliothek-Update-Framework, das veraltete Bibliotheken durch Drop-Ins aktualisiert, um das durch Bibliotheken verursachte Zeitfenster der Verwundbarkeit zu minimieren. Die neueste Arbeit untersucht die missbräuchliche Nutzung von privilegierten Accessibility(a11y)-Funktionen in bösartigen Apps. Wir zeigen ein datenschutzfreundliches a11y-Framework, das die a11y-Logik wie eine Pipeline behandelt, die aus mehreren Modulen besteht, die in verschiedenen Sandboxen laufen. Weiterhin erzwingen wir eine Flusskontrolle über die Kommunikation zwischen den Modulen, wodurch die Angriffsfläche für den Missbrauch von a11y-APIs verringert wird, während die Vorteile von a11y erhalten bleiben.While Android’s data-intensive and open-source nature, combined with its less-than-strict market approval process, has allowed the installation of flawed and even malicious apps, its coarse-grained security model and update bottleneck in the app ecosystem make the platform’s privacy and security situation more worrying. This dissertation introduces a line of works that mitigate privacy and security threats from untrusted app components. The first work presents a compiler-based library compartmentalization solution that utilizes privilege separation to establish a strong trustworthy boundary between the host app and untrusted lib components, thus protecting sensitive user data from being compromised by curious or malicious ad libraries. While for vulnerable third-party libraries, we then build the second work that implements an API-compatibility-based library update framework using drop-in replacements of outdated libraries to minimize the open vulnerability window caused by libraries and we perform multiple dynamic tests and case studies to investigate its feasibility. Our latest work focuses on the misusing of powerful accessibility (a11y) features in untrusted apps. We present a privacy-enhanced a11y framework that treats the a11y logic as a pipeline composed of multiple modules running in different sandboxes. We further enforce flow control over the communication between modules, thus reducing the attack surface from abusing a11y APIs while preserving the a11y benefits

Remote Attacks on FPGA Hardware

Immer mehr Computersysteme sind weltweit miteinander verbunden und über das Internet zugänglich, was auch die Sicherheitsanforderungen an diese erhöht. Eine neuere Technologie, die zunehmend als Rechenbeschleuniger sowohl für eingebettete Systeme als auch in der Cloud verwendet wird, sind Field-Programmable Gate Arrays (FPGAs). Sie sind sehr flexible Mikrochips, die per Software konfiguriert und programmiert werden können, um beliebige digitale Schaltungen zu implementieren. Wie auch andere integrierte Schaltkreise basieren FPGAs auf modernen Halbleitertechnologien, die von Fertigungstoleranzen und verschiedenen Laufzeitschwankungen betroffen sind. Es ist bereits bekannt, dass diese Variationen die Zuverlässigkeit eines Systems beeinflussen, aber ihre Auswirkungen auf die Sicherheit wurden nicht umfassend untersucht. Diese Doktorarbeit befasst sich mit einem Querschnitt dieser Themen: Sicherheitsprobleme die dadurch entstehen wenn FPGAs von mehreren Benutzern benutzt werden, oder über das Internet zugänglich sind, in Kombination mit physikalischen Schwankungen in modernen Halbleitertechnologien. Der erste Beitrag in dieser Arbeit identifiziert transiente Spannungsschwankungen als eine der stärksten Auswirkungen auf die FPGA-Leistung und analysiert experimentell wie sich verschiedene Arbeitslasten des FPGAs darauf auswirken. In der restlichen Arbeit werden dann die Auswirkungen dieser Spannungsschwankungen auf die Sicherheit untersucht. Die Arbeit zeigt, dass verschiedene Angriffe möglich sind, von denen früher angenommen wurde, dass sie physischen Zugriff auf den Chip und die Verwendung spezieller und teurer Test- und Messgeräte erfordern. Dies zeigt, dass bekannte Isolationsmaßnahmen innerhalb FPGAs von böswilligen Benutzern umgangen werden können, um andere Benutzer im selben FPGA oder sogar das gesamte System anzugreifen. Unter Verwendung von Schaltkreisen zur Beeinflussung der Spannung innerhalb eines FPGAs zeigt diese Arbeit aktive Angriffe, die Fehler (Faults) in anderen Teilen des Systems verursachen können. Auf diese Weise sind Denial-of-Service Angriffe möglich, als auch Fault-Angriffe um geheime Schlüsselinformationen aus dem System zu extrahieren. Darüber hinaus werden passive Angriffe gezeigt, die indirekt die Spannungsschwankungen auf dem Chip messen. Diese Messungen reichen aus, um geheime Schlüsselinformationen durch Power Analysis Seitenkanalangriffe zu extrahieren. In einer weiteren Eskalationsstufe können sich diese Angriffe auch auf andere Chips auswirken die an dasselbe Netzteil angeschlossen sind wie der FPGA. Um zu beweisen, dass vergleichbare Angriffe nicht nur innerhalb FPGAs möglich sind, wird gezeigt, dass auch kleine IoT-Geräte anfällig für Angriffe sind welche die gemeinsame Spannungsversorgung innerhalb eines Chips ausnutzen. Insgesamt zeigt diese Arbeit, dass grundlegende physikalische Variationen in integrierten Schaltkreisen die Sicherheit eines gesamten Systems untergraben können, selbst wenn der Angreifer keinen direkten Zugriff auf das Gerät hat. Für FPGAs in ihrer aktuellen Form müssen diese Probleme zuerst gelöst werden, bevor man sie mit mehreren Benutzern oder mit Zugriff von Drittanbietern sicher verwenden kann. In Veröffentlichungen die nicht Teil dieser Arbeit sind wurden bereits einige erste Gegenmaßnahmen untersucht

Botnet Reverse Engineering and Call Sequence Recovery

The focus on computer security has increased due to the ubiquitous use of Internet. Criminals mistreat the anonymous and insidious traits of Internet to commit monetary online fraud, theft and extortion. Botnets are the prominent vehicle for committing online crimes. They provide platform for a botmaster to control a large group of infected Internetconnected computers. Botmaster exploits this large group of connected computers to send spam, commit click fraud, install adware/spyware, flood specific network from distributed locations, host phishing sites and steal personal credentials. All these activities pose serious threat for individuals and organizations. Furthermore, the situation demands more attention since the research and the development of underground criminal industry is faster than security research industry. To cope up against the ever growing botnet threats, security researchers as well as Internet-users need cognizance on the recent trends and techniques of botnets. In this thesis, we analyze in-depth by reverse engineering two prominent botnets namely, Mariposa and Zeus. The findings of the analysis may foster the knowledge of security researchers in multiple dimensions to deal with the botnet issue.To enhance the abstraction and visualization techniques of reverse engineering, we develop a tool which is used for detailed outlook of call sequences

Towards Modular and Flexible Access Control on Smart Mobile Devices

Smart mobile devices, such as smartphones and tablets, have become an integral part of our daily personal and professional lives. These devices are connected to a wide variety of Internet services and host a vast amount of applications, which access, store and process security- and privacy-sensitive data. A rich set of sensors, ranging from microphones and cameras to location and acceleration sensors, allows these applications and their back end services to reason about user behavior. Further, enterprise administrators integrate smart mobile devices into their IT infrastructures to enable comfortable work on the go. Unsurprisingly, this abundance of available high-quality information has made smart mobile devices an interesting target for attackers, and the number of malicious and privacy-intrusive applications has steadily been rising. Detection and mitigation of such malicious behavior are in focus of mobile security research today. In particular, the Android operating system has received special attention by both academia and industry due to its popularity and open-source character. Related work has scrutinized its security architecture, analyzed attack vectors and vulnerabilities and proposed a wide variety of security extensions. While these extensions have diverse goals, many of them constitute modifications of the Android operating system and extend its default permission-based access control model. However, they are not generic and only address specific security and privacy concerns. The goal of this dissertation is to provide generic and extensible system-centric access control architectures, which can serve as a solid foundation for the instantiation of use-case specific security extensions. In doing so, we enable security researchers, enterprise administrators and end users to design, deploy and distribute security extensions without further modification of the underlying operating system. To achieve this goal, we first analyze the mobile device ecosystem and discuss how Android's security architecture aims to address its inherent threats. We proceed to survey related work on Android security, focusing on system-centric security extensions, and derive a set of generic requirements for extensible access control architectures targeting smart mobile devices. We then present two extensible access control architectures, which address these requirements by providing policy-based and programmable interfaces for the instantiation of use-case specific security solutions. By implementing a set of practical use-cases, ranging from context-aware access control, dynamic application behavior analysis to isolation of security domains we demonstrate the advantages of system-centric access control architectures over application-layer approaches. Finally, we conclude this dissertation by discussing an alternative approach, which is based on application-layer deputies and can be deployed whenever practical limitations prohibit the deployment of system-centric solutions

On the malware detection problem : challenges and novel approaches

Orientador: André Ricardo Abed GrégioCoorientador: Paulo Lício de GeusTese (doutorado) - Universidade Federal do Paraná, Setor de Ciências Exatas, Programa de Pós-Graduação em Informática. Defesa : Curitiba,Inclui referênciasÁrea de concentração: Ciência da ComputaçãoResumo: Software Malicioso (malware) é uma das maiores ameaças aos sistemas computacionais atuais, causando danos à imagem de indivíduos e corporações, portanto requerendo o desenvolvimento de soluções de detecção para prevenir que exemplares de malware causem danos e para permitir o uso seguro dos sistemas. Diversas iniciativas e soluções foram propostas ao longo do tempo para detectar exemplares de malware, de Anti-Vírus (AVs) a sandboxes, mas a detecção de malware de forma efetiva e eficiente ainda se mantém como um problema em aberto. Portanto, neste trabalho, me proponho a investigar alguns desafios, falácias e consequências das pesquisas em detecção de malware de modo a contribuir para o aumento da capacidade de detecção das soluções de segurança. Mais especificamente, proponho uma nova abordagem para o desenvolvimento de experimentos com malware de modo prático mas ainda científico e utilizo-me desta abordagem para investigar quatro questões relacionadas a pesquisa em detecção de malware: (i) a necessidade de se entender o contexto das infecções para permitir a detecção de ameaças em diferentes cenários; (ii) a necessidade de se desenvolver melhores métricas para a avaliação de soluções antivírus; (iii) a viabilidade de soluções com colaboração entre hardware e software para a detecção de malware de forma mais eficiente; (iv) a necessidade de predizer a ocorrência de novas ameaças de modo a permitir a resposta à incidentes de segurança de forma mais rápida.Abstract: Malware is a major threat to most current computer systems, causing image damages and financial losses to individuals and corporations, thus requiring the development of detection solutions to prevent malware to cause harm and allow safe computers usage. Many initiatives and solutions to detect malware have been proposed over time, from AntiViruses (AVs) to sandboxes, but effective and efficient malware detection remains as a still open problem. Therefore, in this work, I propose taking a look on some malware detection challenges, pitfalls and consequences to contribute towards increasing malware detection system's capabilities. More specifically, I propose a new approach to tackle malware research experiments in a practical but still scientific manner and leverage this approach to investigate four issues: (i) the need for understanding context to allow proper detection of localized threats; (ii) the need for developing better metrics for AV solutions evaluation; (iii) the feasibility of leveraging hardware-software collaboration for efficient AV implementation; and (iv) the need for predicting future threats to allow faster incident responses

Secure and safe virtualization-based framework for embedded systems development

Tese de Doutoramento - Programa Doutoral em Engenharia Electrónica e de Computadores (PDEEC)The Internet of Things (IoT) is here. Billions of smart, connected devices are proliferating at rapid pace in our key infrastructures, generating, processing and exchanging vast amounts of security-critical and privacy-sensitive data. This strong connectivity of IoT environments demands for a holistic, end-to-end security approach, addressing security and privacy risks across different abstraction levels: device, communications, cloud, and lifecycle managment. Security at the device level is being misconstrued as the addition of features in a late stage of the system development. Several software-based approaches such as microkernels, and virtualization have been used, but it is proven, per se, they fail in providing the desired security level. As a step towards the correct operation of these devices, it is imperative to extend them with new security-oriented technologies which guarantee security from the outset. This thesis aims to conceive and design a novel security and safety architecture for virtualized systems by 1) evaluating which technologies are key enablers for scalable and secure virtualization, 2) designing and implementing a fully-featured virtualization environment providing hardware isolation 3) investigating which "hard entities" can extend virtualization to guarantee the security requirements dictated by confidentiality, integrity, and availability, and 4) simplifying system configurability and integration through a design ecosystem supported by a domain-specific language. The developed artefacts demonstrate: 1) why ARM TrustZone is nowadays a reference technology for security, 2) how TrustZone can be adequately exploited for virtualization in different use-cases, 3) why the secure boot process, trusted execution environment and other hardware trust anchors are essential to establish and guarantee a complete root and chain of trust, and 4) how a domain-specific language enables easy design, integration and customization of a secure virtualized system assisted by the above mentioned building blocks.Vivemos na era da Internet das Coisas (IoT). Biliões de dispositivos inteligentes começam a proliferar nas nossas infraestruturas chave, levando ao processamento de avolumadas quantidades de dados privados e sensíveis. Esta forte conectividade inerente ao conceito IoT necessita de uma abordagem holística, em que os riscos de privacidade e segurança são abordados nas diferentes camadas de abstração: dispositivo, comunicações, nuvem e ciclo de vida. A segurança ao nível dos dispositivos tem sido erradamente assegurada pela inclusão de funcionalidades numa fase tardia do desenvolvimento. Têm sido utilizadas diversas abordagens de software, incluindo a virtualização, mas está provado que estas não conseguem garantir o nível de segurança desejado. De forma a garantir a correta operação dos dispositivos, é fundamental complementar os mesmos com novas tecnologias que promovem a segurança desde os primeiros estágios de desenvolvimento. Esta tese propõe, assim, o desenvolvimento de uma solução arquitetural inovadora para sistemas virtualizados seguros, contemplando 1) a avaliação de tecnologias chave que promovam tal realização, 2) a implementação de uma solução de virtualização garantindo isolamento por hardware, 3) a identificação de componentes que integrados permitirão complementar a virtualização para garantir os requisitos de segurança, e 4) a simplificação do processo de configuração e integração da solução através de um ecossistema suportado por uma linguagem de domínio específico. Os artefactos desenvolvidos demonstram: 1) o porquê da tecnologia ARM TrustZone ser uma tecnologia de referência para a segurança, 2) a efetividade desta tecnologia quando utilizada em diferentes domínios, 3) o porquê do processo seguro de inicialização, juntamente com um ambiente de execução seguro e outros componentes de hardware, serem essenciais para estabelecer uma cadeia de confiança, e 4) a viabilidade em utilizar uma linguagem de um domínio específico para configurar e integrar um ambiente virtualizado suportado pelos artefactos supramencionados

Multidisciplinary perspectives on Artificial Intelligence and the law

This open access book presents an interdisciplinary, multi-authored, edited collection of chapters on Artificial Intelligence (‘AI’) and the Law. AI technology has come to play a central role in the modern data economy. Through a combination of increased computing power, the growing availability of data and the advancement of algorithms, AI has now become an umbrella term for some of the most transformational technological breakthroughs of this age. The importance of AI stems from both the opportunities that it offers and the challenges that it entails. While AI applications hold the promise of economic growth and efficiency gains, they also create significant risks and uncertainty. The potential and perils of AI have thus come to dominate modern discussions of technology and ethics – and although AI was initially allowed to largely develop without guidelines or rules, few would deny that the law is set to play a fundamental role in shaping the future of AI. As the debate over AI is far from over, the need for rigorous analysis has never been greater. This book thus brings together contributors from different fields and backgrounds to explore how the law might provide answers to some of the most pressing questions raised by AI. An outcome of the Católica Research Centre for the Future of Law and its interdisciplinary working group on Law and Artificial Intelligence, it includes contributions by leading scholars in the fields of technology, ethics and the law.info:eu-repo/semantics/publishedVersio

The Treatment of Advanced Persistent Threats on Windows Based Systems

Advanced Persistent Threat (APT) is the name given to individuals or groups who write malicious software (malware) and who have the intent to perform actions detrimental to the victim or the victims' organisation. This thesis investigates ways in which it is possible to treat APTs before, during and after the malware has been laid down on the victim's computer. The scope of the thesis is restricted to desktop and laptop computers with hard disk drives. APTs have different motivations for their work and this thesis is agnostic towards their origin and intent. Anti-malware companies freely present the work of APTs in many ways but summarise mainly in the form of white papers. Individually, pieces of these works give an incomplete picture of an APT but in aggregate it is possible to construct a view of APT families and pan-APT commonalities by comparing and contrasting the work of many anti-malware companies; it as if there are alot of the pieces of a jigsaw puzzle but there is no box lid available with the complete picture. In addition, academic papers provide proof of concept attacks and observations, some of which may become used by malware writers. Gaps in, and extensions to, the public knowledge may be filled through inference, implication, interpolation and extrapolation and form the basis for this thesis. The thesis presents a view of where APTs lie on windows-based systems. It uses this view to create and build generic views of where APTs lie on Hard Disc Drives on Windows based systems using the Lockheed Martin Cyber Kill Chain. This is then used to treat APTs on Windows based IT systems using purpose-built software in such a way that the malware is negated by. The thesis does not claim to find all malware on but it demonstrates how to increase the cost of doing business for APTs, for example by overwriting unused disc space so APTs cannot place malware there. The software developed was able to find Indicators of Compromise on all eight Hard Disc Drives provided for analysis. Separately, from a corpus of 228 files known to be associated with malware it identified approximately two thirds as Indicators of Compromise

Secure portable execution and storage environments: A capability to improve security for remote working

Remote working is a practice that provides economic benefits to both the employing organisation and the individual. However, evidence suggests that organisations implementing remote working have limited appreciation of the security risks, particularly those impacting upon the confidentiality and integrity of information and also on the integrity and availability of the remote worker’s computing environment. Other research suggests that an organisation that does appreciate these risks may veto remote working, resulting in a loss of economic benefits. With the implementation of high speed broadband, remote working is forecast to grow and therefore it is appropriate that improved approaches to managing security risks are researched. This research explores the use of secure portable execution and storage environments (secure PESEs) to improve information security for the remote work categories of telework, and mobile and deployed working. This thesis with publication makes an original contribution to improving remote work information security through the development of a body of knowledge (consisting of design models and design instantiations) and the assertion of a nascent design theory. The research was conducted using design science research (DSR), a paradigm where the research philosophies are grounded in design and construction. Following an assessment of both the remote work information security issues and threats, and preparation of a set of functional requirements, a secure PESE concept was defined. The concept is represented by a set of attributes that encompass the security properties of preserving the confidentiality, integrity and availability of the computing environment and data. A computing environment that conforms to the concept is considered to be a secure PESE, the implementation of which consists of a highly portable device utilising secure storage and an up-loadable (on to a PC) secure execution environment. The secure storage and execution environment combine to address the information security risks in the remote work location. A research gap was identified as no existing ‘secure PESE like’ device fully conformed to the concept, enabling a research problem and objectives to be defined. Novel secure storage and execution environments were developed and used to construct a secure PESE suitable for commercial remote work and a high assurance secure PESE suitable for security critical remote work. The commercial secure PESE was trialled with an existing telework team looking to improve security and the high assurance secure PESE was trialled within an organisation that had previously vetoed remote working due to the sensitivity of the data it processed. An evaluation of the research findings found that the objectives had been satisfied. Using DSR evaluation frameworks it was determined that the body of knowledge had improved an area of study with sufficient evidence generated to assert a nascent design theory for secure PESEs. The thesis highlights the limitations of the research while opportunities for future work are also identified. This thesis presents ten published papers coupled with additional doctoral research (that was not published) which postulates the research argument that ‘secure PESEs can be used to manage information security risks within the remote work environment’