248 research outputs found

    Investigating attitudes towards online safety and security, and evaluating a peer-led Internet safety programme for 14– to 16-year-olds: final report

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    Research Grants 2009 - Harnessing Technology Project. Recognising the significant e-safety issues facing young people, students aged between 14 and 16 were encouraged to engage peer-based activities to raise their own awareness of threats and appropriate responses

    Data security in European healthcare information systems

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    This thesis considers the current requirements for data security in European healthcare systems and establishments. Information technology is being increasingly used in all areas of healthcare operation, from administration to direct care delivery, with a resulting dependence upon it by healthcare staff. Systems routinely store and communicate a wide variety of potentially sensitive data, much of which may also be critical to patient safety. There is consequently a significant requirement for protection in many cases. The thesis presents an assessment of healthcare security requirements at the European level, with a critical examination of how the issue has been addressed to date in operational systems. It is recognised that many systems were originally implemented without security needs being properly addressed, with a consequence that protection is often weak and inconsistent between establishments. The overall aim of the research has been to determine appropriate means by which security may be added or enhanced in these cases. The realisation of this objective has included the development of a common baseline standard for security in healthcare systems and environments. The underlying guidelines in this approach cover all of the principal protection issues, from physical and environmental measures to logical system access controls. Further to this, the work has encompassed the development of a new protection methodology by which establishments may determine their additional security requirements (by classifying aspects of their systems, environments and data). Both the guidelines and the methodology represent work submitted to the Commission of European Communities SEISMED (Secure Environment for Information Systems in MEDicine) project, with which the research programme was closely linked. The thesis also establishes that healthcare systems can present significant targets for both internal and external abuse, highlighting a requirement for improved logical controls. However, it is also shown that the issues of easy integration and convenience are of paramount importance if security is to be accepted and viable in practice. Unfortunately, many traditional methods do not offer these advantages, necessitating the need for a different approach. To this end, the conceptual design for a new intrusion monitoring system was developed, combining the key aspects of authentication and auditing into an advanced framework for real-time user supervision. A principal feature of the approach is the use of behaviour profiles, against which user activities may be continuously compared to determine potential system intrusions and anomalous events. The effectiveness of real-time monitoring was evaluated in an experimental study of keystroke analysis -a behavioural biometric technique that allows an assessment of user identity from their typing style. This technique was found to have significant potential for discriminating between impostors and legitimate users and was subsequently incorporated into a fully functional security system, which demonstrated further aspects of the conceptual design and showed how transparent supervision could be realised in practice. The thesis also examines how the intrusion monitoring concept may be integrated into a wider security architecture, allowing more comprehensive protection within both the local healthcare establishment and between remote domains.Commission of European Communities SEISMED proje

    A user-oriented network forensic analyser: the design of a high-level protocol analyser

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    Network forensics is becoming an increasingly important tool in the investigation of cyber and computer-assisted crimes. Unfortunately, whilst much effort has been undertaken in developing computer forensic file system analysers (e.g. Encase and FTK), such focus has not been given to Network Forensic Analysis Tools (NFATs). The single biggest barrier to effective NFATs is the handling of large volumes of low-level traffic and being able to exact and interpret forensic artefacts and their context – for example, being able extract and render application-level objects (such as emails, web pages and documents) from the low-level TCP/IP traffic but also understand how these applications/artefacts are being used. Whilst some studies and tools are beginning to achieve object extraction, results to date are limited to basic objects. No research has focused upon analysing network traffic to understand the nature of its use – not simply looking at the fact a person requested a webpage, but how long they spend on the application and what interactions did they have with whilst using the service (e.g. posting an image, or engaging in an instant message chat). This additional layer of information can provide an investigator with a far more rich and complete understanding of a suspect’s activities. To this end, this paper presents an investigation into the ability to derive high-level application usage characteristics from low-level network traffic meta-data. The paper presents a three application scenarios – web surfing, communications and social networking and demonstrates it is possible to derive the user interactions (e.g. page loading, chatting and file sharing ) within these systems. The paper continues to present a framework that builds upon this capability to provide a robust, flexible and user-friendly NFAT that provides access to a greater range of forensic information in a far easier format

    A forensically-enabled IASS cloud computing architecture

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    Current cloud architectures do not support digital forensic investigators, nor comply with today’s digital forensics procedures largely due to the dynamic nature of the cloud. Whilst much research has focused upon identifying the problems that are introduced with a cloud-based system, to date there is a significant lack of research on adapting current digital forensic tools and techniques to a cloud environment. Data acquisition is the first and most important process within digital forensics – to ensure data integrity and admissibility. However, access to data and the control of resources in the cloud is still very much provider-dependent and complicated by the very nature of the multi-tenanted operating environment. Thus, investigators have no option but to rely on cloud providers to acquire evidence, assuming they would be willing or are required to by law. Furthermore, the evidence collected by the Cloud Service Providers (CSPs) is still questionable as there is no way to verify the validity of this evidence and whether evidence has already been lost. This paper proposes a forensic acquisition and analysis model that fundamentally shifts responsibility of the data back to the data owner rather than relying upon a third party. In this manner, organisations are free to undertaken investigations at will requiring no intervention or cooperation from the cloud provider. The model aims to provide a richer and complete set of admissible evidence than what current CSPs are able to provide

    Towards dynamic adaption of user\u27s organisational information security behaviour

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    The weakest link in the field of information security that has been identified in the literature is the organisation’s employees. Information security policy compliance is one of the main challenges facing organisations today. Although implementing technical and procedural measures clearly helps to improve an organisation\u27s information security, the human factor or the employees\u27 compliance with these measures is the key to success. However, organisations are now having some issues regarding the extent of employee adherence to policy. The problem of employees being unaware or ignorant of their responsibilities in relation to information security is still an open issue. The proposed idea in this paper will seek to enhance end user adherence to information security policies by proposing a framework for security policy compliance monitoring and targeted awareness raising. The foremost aim of this framework is to increase users’ awareness of the importance of following information security policies. Continuously subjecting users to targeted awareness and monitoring their adherence to information security policies should enhance the effectiveness of such awareness efforts. The proposed framework is a part of on-going research and is intended to provide a foundation for future research on a dynamic adaption of users’ behaviour with information security policies

    The design and evaluation of a user-centric information security risk assessment and response framework

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    Abstract: The risk of sensitive information disclosure and modification through the use of online services has increased considerably and may result in significant damage. As the management and assessment of such risks is a well-known discipline for organizations, it is a challenge for users from the general public. Users have difficulties in using, understanding and reacting to security-related threats. Moreover, users only try to protect themselves from risks salient to them. Motivated by the lack of risk assessment solutions and limited impact of awareness programs tailored for users of the general public, this paper aims to develop a structured approach to help in protecting users from threats and vulnerabilities and, thus, reducing the overall information security risks. By focusing on the user and that different users react differently to the same stimuli, the authors developed a user-centric risk assessment and response framework that assesses and communicates risk on both user and system level in an individualized, timely and continuous way. Three risk assessment models were proposed that depend on user-centric and behavior-related factors when calculating risk. This framework was evaluated using a scenario-based simulation of a number of users and results analyzed. The analysis demonstrated the effectiveness and feasibility of the proposed approach. Encouragingly, this analysis provided an indication that risk can be assessed differently for the same behavior based upon a number of user-centric and behavioral-related factors resulting in an individualized granular risk score/level. This granular risk assessment, provided a more insightful evaluation of both risk and response. The analysis of results was also useful in demonstrating how risk is not the same for all users and how the proposed model is effective in adapting to differences between users offering a novel approach to assessing information security risks

    Aligning Security Practice with Policy: Guiding and Nudging towards Better Behavior

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    Despite an abundance of policies being directed towards them, users often struggle to follow good cybersecurity practice. Recognizing that such behaviors do not come naturally, a logical approach is to ensure that users are guided and supported in knowing what to do and how to do it. Unfortunately, such support is often lacking. The paper uses the example of password authentication as a specific context in which cybersecurity behavior is frequently criticized, but where users are often left to manage without sufficient support (as evidenced by examining the lack of related guidance and enforcement of good practice on leading websites). The discussion then proceeds to look at the effect of actively supporting the user, drawing upon the results from two experimental studies (one looking at the practical impact of guidance and feedback upon users’ password choices, and the other examining the effect of gamifying the password selection experience). The results collectively show that such efforts can have tangible positive effects upon user behaviors. While the specific findings are focused upon passwords, similar principles could also be applied to other aspects of user-facing security

    Assessing Relative Weights of Authentication Components: An Expert Panel Approach

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    Organizations rely on password-based authentication methods to control access to many Web-based systems. In a recent study, we developed a benchmarking instrument to assess the authentication methods used in these contexts. Our instrument developed included extensive literature foundation and an expert panel assessment. This paper reports on the development of the instrument and the expert panel assessment. The initial draft of the instrument was derived from literature to assess 1) password strength requirements, 2) password usage methods, and 3) password reset requirements. Following, the criteria within the index were evaluated by an expert panel and the same panel provided opinions on the relative weights of the criteria and the measures. The expert panel results were collected and analyzed using Multi-Criteria Decision Analysis (MCDA) techniques. We conclude with discussions on how the criteria were assembled, how the expert panel was conducted, and reporting the results from the panel. The results reported include the relative weights within te password usage and password reset measures as well as the relative weights of the three measures within the index

    A preliminary investigation of distributed and cooperative user authentication

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    Smartphones and other highly mobile yet sophisticated technologies are rapidly spreading through society and increasingly finding their way into pockets and handbags. As reliance upon these intensifies and familiarity grows, human nature dictates that more and more personal details and information is now to be found upon such devices. The need to secure and protect this valuable and desirable information is becoming ever more prevalent. Building upon previous work which proposed a novel approach to user authentication, an Authentication Aura, this paper investigates the latent security potential contained in surrounding devices in everyday life. An experiment has been undertaken to ascertain the technological infrastructure, devices and inert objects that surround individuals to establish if these items might be significant. The results suggest that inert possessions may offer a surprisingly large potential with some being in close proximity to experimental subjects for over 45% of the entire period. With other graphical analysis illustrating the consistency of presence, this work suggests that everyday possessions and devices can be leveraged to augment traditional approaches and even in certain circumstances, during device activation remove the need to authenticate

    Insider Misuse Identification using Transparent Biometrics

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    Insider misuse is a key threat to organizations. Recent research has focused upon the information itself – either through its protection or approaches to detect the leakage. This paper seeks a different approach through the application of transparent biometrics to provide a robust approach to the identification of the individuals who are misusing systems and information. Transparent biometrics are a suite of modalities, typically behavioral-based that can capture biometric signals covertly or non-intrusively – so the user is unaware of their capture. Transparent biometrics are utilized in two phases a) to imprint digital objects with biometric-signatures of the user who last interacted with the object and b) uniquely applied to network traffic in order to identify users traffic (independent of the Internet Protocol address) so that users rather than machine (IP) traffic can be more usefully analyzed by analysts. Results from two experimental studies are presented and illustrate how reliably transparent biometrics are in providing this link-ability of information to identity.
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