Secure and Privacy-Preserving Authentication Protocols for Wireless Mesh Networks

Wireless mesh networks (WMNs) have emerged as a promising concept to meet the challenges in next-generation wireless networks such as providing flexible, adaptive, and reconfigurable architecture while offering cost-effective solutions to service providers. As WMNs become an increasingly popular replacement technology for last-mile connectivity to the home networking, community and neighborhood networking, it is imperative to design efficient and secure communication protocols for these networks. However, several vulnerabilities exist in currently existing protocols for WMNs. These security loopholes can be exploited by potential attackers to launch attack on WMNs. The absence of a central point of administration makes securing WMNs even more challenging. The broadcast nature of transmission and the dependency on the intermediate nodes for multi-hop communications lead to several security vulnerabilities in WMNs. The attacks can be external as well as internal in nature. External attacks are launched by intruders who are not authorized users of the network. For example, an intruding node may eavesdrop on the packets and replay those packets at a later point of time to gain access to the network resources. On the other hand, the internal attacks are launched by the nodes that are part of the WMN. On example of such attack is an intermediate node dropping packets which it was supposed to forward. This chapter presents a comprehensive discussion on the current authentication and privacy protection schemes for WMN. In addition, it proposes a novel security protocol for node authentication and message confidentiality and an anonymization scheme for privacy protection of users in WMNs.Comment: 32 pages, 10 figures. The work is an extended version of the author's previous works submitted in CoRR: arXiv:1107.5538v1 and arXiv:1102.1226v

Responsible AI and Analytics for an Ethical and Inclusive Digitized Society

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Ausgewählte Chancen und Herausforderungen der digitalen Transformation für die Produktentwicklung und Unternehmensorganisation im Finanzdienstleistungssektor

Vor dem Hintergrund der digitalen Transformation sind Finanzdienstleistungsunternehmen auf unterschiedlichen Ebenen zahlreichen Chancen sowie Herausforderungen ausgesetzt. Während der Einsatz neuer Technologien die Optimierung bestehender Geschäftsprozesse sowie das Angebot digitalisierter Finanzdienstleistungen ermöglicht, geht dies zugleich mit veränderten Arbeitsbedingungen innerhalb der Unternehmensorganisation einher. Darüber hinaus sind Finanzdienstleister dazu angehalten die sich ändernden Kundenerwartungen bei den bisherigen Geschäftsaktivitäten sowie bei der Produktentwicklung zu berücksichtigen. Das Ziel der vorliegenden kumulativen Dissertation ist es, bestehende Forschungsdesiderate hinsichtlich der Auswirkungen der digitalen Transformation auf den Finanzdienstleistungssektor, differenziert nach der Kunden- und Produktperspektive sowie der internen Unternehmensperspektive, vertiefend zu analysieren. Das Technology-Organization-Environment (TOE)-Framework von DePietro et al. (1990) wird dabei als theoretischer Rahmen zur Einordnung und Strukturierung der Forschungsmodule verwendet. Die Ergebnisse der acht Module zeigen, dass die Kundenbedürfnisse und –erwartungen im Finanzdienstleistungssektor verstärkt von der digitalen Transformation beeinflusst werden. Dies zeigt sich in der Beratungstätigkeit bspw. durch das Angebot neuer Kundenkanäle sowie der aus dem steigenden Wettbewerbsdruck resultierenden erhöhten Preistransparenz. Im Rahmen der Produktentwicklung sind zudem u. a. ESG-Risiken und Silent Cyber-Risiken zu beachten. Aus der Analyse der Auswirkungen der digitalen Transformation auf die Unternehmensorganisation geht hervor, dass über den Einsatz digitaler Innovationen innerhalb des Backoffice die Realisation von Effizienzgewinnen sowie das Entgegenwirken eines Personalmangels möglich ist. Darüber hinaus wird in den Modulen der Einfluss des Faktors Mensch auf die Cyber-Sicherheit hervorgehoben. Während dieser einerseits als „schwächstes Glied“ und potenzielles Angriffsziel im Sicherheitskonstrukt der Unternehmen dargestellt wird, ist andererseits das Potenzial der Beschäftigten zur Frühwarnung zu berücksichtigen

Revisiting the legal regulation of digital identity in the light of global implementation and local difference

This thesis aims to address a vital gap that has emerged in the digital identity regulatory discourse: how can the legal regulation of digital identity mirror the global nature of digital identity and be compatible with national local difference? Digital identity, or the digital representation of an individual, is a complex concept, which manifests in myriad forms (e.g. authenticators, claims, data or information, identifiers, presence, relationship representations and reputation) and natures. As such, it engages a gamut of legal domains ranging from criminal law, constitutional law, human rights law, law of identity schemes, contract law, intellectual property law, tort law and data protection law. Digital identity is global and local in its nature, influence and effects. Yet, the digital identity regulatory discourse has primarily developed in and focussed on the digitally advanced West, leaving out countries like India which are developing strong digital presences, with their own digital identity perceptions and needs. This situation is adverse to the sustained future of digital identity. Thus, the contribution of this thesis lies in filling this gap and preparing the ground for a dialogue between different countries with different national agendas through building international and local awareness of how similarities and differences operate in respect of digital identity, its regulation and providing a modest solution to help preserve the global and local dimensions of digital identity and its regulation. To this end, the thesis carried out comparative legal research on the legal regulation of digital identity using the UK and India as base jurisdictions. The original hypothesis was that that immense differences in the legal regulation of digital identity between the comparator countries would emerge. Yet, though differences were evident, considerable degrees of similarity also emerged, not just on the superficial level of mere identity of rules, but also in legal practice, in large part attributable to India’s penchant for legal transplants. While the transplantation of Western law did not result in a full-scale rejection of the transplanted laws in relation to digital identity in India, there are indications of anomalies caused by the imposition of Western cultural norms through law on an Indian society ill prepared for it. Thus there has resulted a tension between the local and the global, the indigenous and the externally imposed. The challenge is thus to resolve this, taking into account, on the one hand the need to maintain the global nature and relevance of digital identity and the other, the need to accommodate and be responsive to local differences. The thesis proposes a tentative solution called the tri-elemental framework (TeF) which draws from the Indian philosophical and legal concept of dharma (and its elements of Sad Achara, Vyavahara and Prayaschitta) and learns from the most universally relevant digital identity proposal, De Hert’s right to identity. The solution provides one way in which the law regulating digital identity, whatever its nature, can be made sense of and acquire cultural meaning appropriate to local contexts

Functionality-based application confinement: A parameterised and hierarchical approach to policy abstraction for rule-based application-oriented access controls

Access controls are traditionally designed to protect resources from users, and consequently make access decisions based on the identity of the user, treating all processes as if they are acting on behalf of the user that runs them. However, this user-oriented approach is insufficient at protecting against contemporary threats, where security compromises are often due to applications running malicious code, either due to software vulnerabilities or malware. Application-oriented access controls can mitigate this threat by managing the authority of individual applications. Rule-based application-oriented access controls can restrict applications to only allow access to the specific finely-grained resources required for them to carry out their tasks, and thus can significantly limit the damage that can be caused by malicious code. Unfortunately existing application-oriented access controls have policy complexity and usability problems that have limited their use. This thesis proposes a new access control model, known as functionality-based application confinement (FBAC). The FBAC model has a number of unique features designed to overcome problems with previous approaches. Policy abstractions, known as functionalities, are used to assign authority to applications based on the features they provide. Functionalities authorise elaborate sets of finely grained privileges based on high-level security goals, and adapt to the needs of specific applications through parameterisation. FBAC is hierarchical, which enables it to provide layers of abstraction and encapsulation in policy. It also simultaneously enforces the security goals of both users and administrators by providing discretionary and mandatory controls. An LSM-based (Linux security module) prototype implementation, known as FBAC-LSM, was developed as a proof-of-concept and was used to evaluate the new model and associated techniques. The policy requirements of over one hundred applications were analysed, and policy abstractions and application policies were developed. Analysis showed that the FBAC model is capable of representing the privilege needs of applications. The model is also well suited to automaiii tion techniques that can in many cases create complete application policies a priori, that is, without first running the applications. This is an improvement over previous approaches that typically rely on learning modes to generate policies. A usability study was conducted, which showed that compared to two widely-deployed alternatives (SELinux and AppArmor), FBAC-LSM had significantly higher perceived usability and resulted in significantly more protective policies. Qualitative analysis was performed and gave further insight into the issues surrounding the usability of application-oriented access controls, and confirmed the success of the FBAC model

Risk Management for the Future

A large part of academic literature, business literature as well as practices in real life are resting on the assumption that uncertainty and risk does not exist. We all know that this is not true, yet, a whole variety of methods, tools and practices are not attuned to the fact that the future is uncertain and that risks are all around us. However, despite risk management entering the agenda some decades ago, it has introduced risks on its own as illustrated by the financial crisis. Here is a book that goes beyond risk management as it is today and tries to discuss what needs to be improved further. The book also offers some cases

Online learning on the programmable dataplane

This thesis makes the case for managing computer networks with datadriven methods automated statistical inference and control based on measurement data and runtime observations—and argues for their tight integration with programmable dataplane hardware to make management decisions faster and from more precise data. Optimisation, defence, and measurement of networked infrastructure are each challenging tasks in their own right, which are currently dominated by the use of hand-crafted heuristic methods. These become harder to reason about and deploy as networks scale in rates and number of forwarding elements, but their design requires expert knowledge and care around unexpected protocol interactions. This makes tailored, per-deployment or -workload solutions infeasible to develop. Recent advances in machine learning offer capable function approximation and closed-loop control which suit many of these tasks. New, programmable dataplane hardware enables more agility in the network— runtime reprogrammability, precise traffic measurement, and low latency on-path processing. The synthesis of these two developments allows complex decisions to be made on previously unusable state, and made quicker by offloading inference to the network. To justify this argument, I advance the state of the art in data-driven defence of networks, novel dataplane-friendly online reinforcement learning algorithms, and in-network data reduction to allow classification of switchscale data. Each requires co-design aware of the network, and of the failure modes of systems and carried traffic. To make online learning possible in the dataplane, I use fixed-point arithmetic and modify classical (non-neural) approaches to take advantage of the SmartNIC compute model and make use of rich device local state. I show that data-driven solutions still require great care to correctly design, but with the right domain expertise they can improve on pathological cases in DDoS defence, such as protecting legitimate UDP traffic. In-network aggregation to histograms is shown to enable accurate classification from fine temporal effects, and allows hosts to scale such classification to far larger flow counts and traffic volume. Moving reinforcement learning to the dataplane is shown to offer substantial benefits to stateaction latency and online learning throughput versus host machines; allowing policies to react faster to fine-grained network events. The dataplane environment is key in making reactive online learning feasible—to port further algorithms and learnt functions, I collate and analyse the strengths of current and future hardware designs, as well as individual algorithms

An Investigation of Factors that Affect HIPAA Security Compliance in Academic Medical Centers

HIPAA security compliance in academic medical centers is a central concern of researchers, academicians, and practitioners. Increased numbers of data security breaches and information technology implementations have caused concern over the confidentiality, integrity, and availability of electronic personal health information. The federal government has implemented stringent HIPAA security compliance reviews and significantly extended the scope and enforcement of the HIPAA Security Rule. However, academic medical centers have shown limited compliance with the HIPAA Security Rule. Therefore, the goal of this study was to investigate the factors that may affect HIPAA security compliance in academic medical centers. Based on a review of the literature of technology acceptance and security effectiveness, this study proposed a theoretical model that uses management support, security awareness, security culture, and computer self-efficacy to predict security behavior and security effectiveness and thus HIPAA security compliance in academic medical centers. To empirically assess the effect of the above-noted variables on HIPAA security compliance in academic medical centers, a Web-based survey was developed. The survey instrument was designed as a multi-line measure that used Likert-type scales. Previous validated scales were adapted and used in the survey. The sample for this investigation was health care information technology professionals who are members of the Group on Information Resources within the Association of American Medical Colleges. Two statistical methods were used to derive and validate predictive models: multiple linear regression and correlation analysis. The results of the investigation demonstrated that security awareness, management support, and security culture were significant predictors of both security effectiveness and security behavior. Security awareness was the most significant predictor of security effectiveness and security behavior. Due to the presence of collinearity, Pearson correlation analysis was used to develop a composite factor, consisting of management support and security culture, for the final multiple linear regression model. By enhancing the understanding of HIPAA security compliance in academic medical centers, the outcomes of this study will contribute to the body of knowledge of security compliance. The empirical results of this research also will provide guidance for individuals and organizations involved with HIPAA security compliance initiatives in health care