In today’s inter-connected world, threats from anywhere in the world can have serious global repercussions. In particular, two types of threats have a global impact: 1) cyber crime and 2) cyber and biological weapons. If a country’s environment is conducive to cyber criminal activities, cyber criminals will use that country as a basis to attack end-users around the world. Cyber weapons and biological weapons can now allow a small actor to inflict major damage on a major military power. If cyber and biological weapons are used in combination, the damage can be amplified significantly. Given that the cyber and biological threat is global, it is important to identify countries that pose the greatest threat and design action plans to reduce the threat from these countries. However, prior work on cyber crime lacks empirical substantiation for reasons why some countries’ environments are conducive to cyber crime. Prior work on cyber and biological weapon capabilities mainly consists of case studies which only focus on select countries and thus are not generalizeable. To sum up, assessing the global cyber and biological threat currently lacks a systematic empirical approach. In this thesis, I take an empirical and systematic approach towards assessing the global cyber and biological threat. The first part of the thesis focuses on cyber crime. I examine international variation in cyber crime infrastructure hosting and cyber crime exposure. I also empirically test hypotheses about factors behind such variation. In that work, I use Symantec’s telemetry data, collected from 10 million Symantec customer computers worldwide and accessed through the Symantec’s Worldwide Intelligence Network Environment (WINE). I find that addressing corruption in Eastern Europe or computer piracy in Sub-Saharan Africa has the potential to reduce the global cyber crime. The second part of the thesis focuses on cyber and biological weapon capabilities. I develop two computational methodologies: one to assess countries’ biological capabilities and one to assess countries’ cyber capabilities. The methodologies examine all countries in the world and can be used by non-experts that only have access to publicly available data. I validate the biological weapon assessment methodology by comparing the methodology’s assessment to historical data. This work has the potential to proactively reduce the global cyber and biological weapon threat.

Purpose – The purpose of this study is to enhance the understanding of how organizations can improve their cyber security with change management. To fulfill the purpose, the following research questions were developed: RQ1: What are the key factors for effective change management in the context of cyber security? and RQ2: How can organizations manage these factors to improve cyber security? Method – A qualitative research method with an inductive approach was chosen. The empirical data collection was performed as a multiple case study with 16 semi-structured interviews with respondents from six organizations, and the data were analyzed through a thematic analysis. Result – The findings of this study is gathered in a framework for successful cyber security culture change that highlights each essential activity for how to improve cyber security with change management. It also shows when and how these activities should be performed, when to consider each leadership characteristic, and what employee sensemaking needs that should be considered during the process.  Theoretical contribution – The study contributes to both cyber security literature and change management literature. It contributes to the cyber security literature by providing a processual model that illustrates the factors dependency of each other. Also, by adding the perspective of sensemaking, the study provides an overall picture, with both a leader and employee perspective, of how change management can be used to improve cyber security. Additionally, this study extends earlier change management literature by providing a sensemaking approach to the change process. Managerial implications – The study contributes with valuable insights for management in practice by presenting a framework that can help CISO’s, security consultants or other managers responsible for the organizations security to execute successful cyber security culture change. With the presented framework, they can plan, execute and sustain the change in the organization’s cyber security culture.

Cybercrime is one of the quickest growing areas of criminality. Criminals abuse the speed, accessibility, and privacy of the Internet to commit diverse crimes involving data and identity theft that cause severe damage to victims worldwide. Many small businesses do not have the financial and technological means to protect their systems from cyberattack, making them vulnerable to data breaches. This exploratory multiple case study, grounded in systems thinking theory and routine activities theory, encompassed an investigation of cybersecurity strategies used by 5 small business leaders in Middlesex County, Massachusetts. The data collection process involved open-ended online questionnaires, semistructured face-to-face interviews, and review of company documents. Based on methodological triangulation of the data sources and inductive analysis, 3 emergent themes identified are policy, training, and technology. Key findings include having a specific goal and tactical approach when creating small business cybersecurity strategies and arming employees with cybersecurity training to increase their awareness of security compliance. Recommendations include small business use of cloud computing to remove the burden of protecting data on their own, thus making it unnecessary to house corporate servers. The study has implications for positive social change because small business leaders may apply the findings to decrease personal information leakage, resulting from data breaches, which affects the livelihood of individuals or companies if disclosure of their data occurs.

Many real-world relations are networks that can be modelled with a kind of directed hypergraph named a forward hypergraph (F-graph). F-graphs capture the semantics of both conjunctive and disjunctive dependency relations. Logic statements are sometimes represented using AND/OR directed graphs and they directly correspond with F-graphs; we provide algorithms to convert between the two types of graph. One problem of interest in networks is determining the degree to which the network, with a priority on certain elements, depends upon individual nodes. We address this problem by providing an algorithm, AssetRank, which computes vertex ranks and takes into account network priorities, preferential dependencies, and extra-network influences. A second problem of interest in networks is optimizing the removal of nodes to separate two subcommunities (source and target) to the greatest practical degree, even when a complete disconnection is impractical. The problem is complicated by the need to consider the cost of removing nodes, a budget that constrains the degree to which separation is possible, cascading effects of removing a node, non-linear effects of removing nodes in combination, and removing nodes with the greatest impact on the subcommunities. To this end, we use F-graphs and introduce the concepts of vertex closures and closure-relation graphs. We created two partial-cut algorithms: the first one computes an optimal solution to this NP-hard optimization problem, and the second one estimates an optimization by exploring the closure-relation graph in a best-first search manner. Computer network defence provides a ready application area. Network defenders wish to understand which services and hosts are defence priorities (defence goals), and then, which configurations and vulnerabilities are the most useful to attackers in reaching the defence goals. The defenders' resources are constrained in terms of available person-hours, finances, and acceptable impacts to operations. The work in this thesis supports network defenders by providing actionable information that efficiently removes attack enablers and ensures defence priorities. We present an integration of our algorithms with commercial and open-source network security software. / Thesis (Ph.D, Computing) -- Queen's University, 2011-04-30 22:17:52.062

Information technology (IT) is critical and valuable to our society. An important type of IT system is Supervisor Control And Data Acquisition (SCADA) systems. These systems are used to control and monitor physical industrial processes like electrical power supply, water supply and railroad transport. Since our society is heavily dependent on these industrial processes we are also dependent on the behavior of our SCADA systems. SCADA systems have become (and continue to be) integrated with other IT systems they are thereby becoming increasingly vulnerable to cyber threats. Decision makers need to assess the security that a SCADA system’s architecture offers in order to make informed decisions concerning its appropriateness. However, data collection costs often restrict how much information that can be collected about the SCADA system’s architecture and it is difficult for a decision maker to know how important different variables are or what their value mean for the SCADA system’s security. The contribution of this thesis is a modeling framework and a theory to support cyber security vulnerability assessments. It has a particular focus on SCADA systems. The thesis is a composite of six papers. Paper A describes a template stating how probabilistic relational models can be used to connect architecture models with cyber security theory. Papers B through E contribute with theory on operational security. More precisely, they contribute with theory on: discovery of software vulnerabilities (paper B), remote arbitrary code exploits (paper C), intrusion detection (paper D) and denial-of-service attacks (paper E). Paper F describes how the contribution of paper A is combined with the contributions of papers B through E and other operationalized cyber security theory. The result is a decision support tool called the Cyber Security Modeling Language (CySeMoL). This tool produces a vulnerability assessment for a system based on an architecture model of it. / Informationsteknik (IT) är kritiskt och värdefullt för vårt samhälle. En viktig typ av IT-system är de styrsystem som ofta kallas SCADA-system (från engelskans "Supervisor Control And Data Acquisition"). Dessa system styr och övervakar fysiska industriella processer så som kraftförsörjning, vattenförsörjning och järnvägstransport. Eftersom vårt samhälle är beroende av dessa industriella processer så är vi också beroende av våra SCADA-systems beteende. SCADA-system har blivit (och fortsätter bli) integrerade med andra IT system och blir därmed mer sårbara för cyberhot. Beslutsfattare behöver utvärdera säkerheten som en systemarkitektur erbjuder för att kunna fatta informerade beslut rörande dess lämplighet. Men datainsamlingskostnader begränsar ofta hur mycket information som kan samlas in om ett SCADA-systems arkitektur och det är svårt för en beslutsfattare att veta hur viktiga olika variabler är eller vad deras värden betyder för SCADA-systemets säkerhet. Bidraget i denna avhandling är ett modelleringsramverk och en teori för att stödja cybersäkerhetsutvärderingar. Det har ett särskilt focus på SCADA-system. Avhandlingen är av sammanläggningstyp och består av sex artiklar. Artikel A beskriver en mall för hur probabilistiska relationsmodeller kan användas för att koppla samman cybersäkerhetsteori med arkitekturmodeller. Artikel B till E bidrar med teori inom operationell säkerhet. Mer exakt, de bidrar med teori angående: upptäckt av mjukvarusårbarheter (artikel B), fjärrexekvering av godtycklig kod (artikel C), intrångsdetektering (artikel D) och attacker mot tillgänglighet (artikel E). Artikel F beskriver hur bidraget i artikel A kombineras med bidragen i artikel B till E och annan operationell cybersäkerhetsteori. Resultatet är ett beslutsstödsverktyg kallat Cyber Security Modeling Language (CySeMoL). Beslutsstödsverktyget producerar sårbarhetsutvärdering för ett system baserat på en arkitekturmodell av det. / <p>QC 20121018</p>

The emergence of e-commerce has brought about many benefits to a country s economy and individuals, but the openness of the Internet has given rise to misuse of personal data and Internet security issues. Therefore, various countries have developed and implemented cyber-security awareness measures to counter this. However, there is currently a definite lack in this regard in Nigeria, as there are currently, little government-led and sponsored Internet security awareness initiatives. In addition, a security illiterate person will not know of the need to search for these awareness programmes online, particularly in Nigeria s case, where personal information security may not be regarded as an overly important issue for citizens. Therefore, this research attempts to find a means to reduce the privacy and data protection issues. It highlights the privacy and data protection problem in developing countries, using Nigeria as a case study, and seeks to provide a solution focusing on improving Internet security culture rather than focusing on solely technological solutions. The research proves the existence of the privacy and data protection problem in Nigeria by analysing the current privacy practices, Internet users perceptions and awareness knowledge, and by identifying factors specific to Nigeria that influence their current privacy and data protection situation. The research develops a framework for developing countries that consists of recommendations for relevant stakeholders and awareness training. In the case of Nigeria, the stakeholders are the government and organisations responsible for personal information security, and an awareness training method has been created to take into account Nigeria s unique factors. This training method encompasses promoting Internet security awareness through contextual training and promoting awareness programmes. Industry experts and Nigerian Internet users validated the framework. The findings obtained from the validation procedure indicated that the framework is applicable to the current situation in Nigeria and would assist in solving the privacy and Internet problem in Nigeria. This research offers recommendations that will assist the Nigerian government, stakeholders such as banks and e commerce websites, as well as Nigerian Internet users, in resolving the stated problems.

The digital environment is facing changes and threats from different factors. Digitalisation seeks to exceed all boundaries at the expense of something we used to value high. Privacy today is a subject that garners a lot of attention due to its deterioration. This study aims to assess this dilemma from different angles and find easier ways to understand it. It considers components like updating legislation, companies’ business models and lack of available information. All this is done from the perspective of hackers and cyber security professionals by researchers without further IT background. Thus, the methodology of the study consists of qualitative interviews with persons who possess a great knowledge of the digital world. After the interviews the study has found a connection between an individual’s privacy and his choices, level of knowledge and society’s structures. The results indicate that information has become so highly valued that it can be used as a currency. This creates for example the possibility for big companies to exploit their power in order to affect opinions and consumer behaviour. However, individuals donate their privacy voluntarily in exchange for free services. Therefore, they should be offered clear information by those who recognise the threats. The study also proposes some suggestions from the professionals for better privacy.

Individuals, businesses and governments undertake an ever-growing range of activities online and via various Internet-enabled digital devices. Unfortunately, these activities, services, information and devices are the targets of cybercrimes. Verifying the user legitimacy to use/access a digital device or service has become of the utmost importance. Authentication is the frontline countermeasure of ensuring only the authorised user is granted access; however, it has historically suffered from a range of issues related to the security and usability of the approaches. Traditionally deployed in a point-of-entry mode (although a number of implementations also provide for re-authentication), the intrusive nature of the control is a significant inhibitor. Thus, it is apparent that a more innovative, convenient and secure user authentication solution is vital. This thesis reviews the authentication methods along with the current use of authentication technologies, aiming at developing a current state-of-the-art and identifying the open problems to be tackled and available solutions to be adopted. It also investigates whether these authentication technologies have the capability to fill the gap between the need for high security whilst maximising user satisfaction. This is followed by a comprehensive literature survey and critical analysis of the existing research domain on continuous and transparent multibiometric authentication. It is evident that most of the undertaken studies and proposed solutions thus far endure one or more shortcomings; for instance, an inability to balance the trade-off between security and usability, confinement to specific devices, lack or negligence of evaluating users’ acceptance and privacy measures, and insufficiency or absence of real tested datasets. It concludes that providing users with adequate protection and convenience requires innovative robust authentication mechanisms to be utilised in a universal manner. Accordingly, it is paramount to have a high level of performance, scalability, and interoperability amongst existing and future systems, services and devices. A survey of 302 digital device users was undertaken and reveals that despite the widespread interest in more security, there is a quite low number of respondents using or maintaining the available security measures. However, it is apparent that users do not avoid applying the concept of authentication security but avoid the inconvenience of its current common techniques (biometrics are having growing practical interest). The respondents’ perceptions towards Trusted Third-Party (TTP) enable utilising biometrics for a novel authentication solution managed by a TTP working on multiple devices to access multiple services. However, it must be developed and implemented considerately. A series of experimental feasibility analysis studies disclose that even though prior Transparent Authentication Systems (TAS) models performed relatively well in practice on real live user data, an enhanced model utilising multibiometric fusion outweighs them in terms of the security and transparency of the system within a device. It is also empirically established that a centralised federated authentication approach using the Cloud would help towards constructing a better user profile encompassing multibiometrics and soft biometric information from their multiple devices and thus improving the security and convenience of the technique beyond those of unimodal, the Non-Intrusive and Continuous Authentication (NICA), and the Weighted Majority Voting Fusion (WMVF) and what a single device can do by itself. Furthermore, it reduces the intrusive authentication requests by 62%-74% (of the total assumed intrusive requests without operating this model) in the worst cases. As such, the thesis proposes a novel authentication architecture, which is capable of operating in a transparent, continuous and convenient manner whilst functioning across a range of digital devices – bearing in mind it is desirable to work on differing hardware configurations, operating systems, processing capabilities and network connectivity but they are yet to be validated. The approach, entitled Cloud Aura, can achieve high levels of transparency thereby being less dependent on secret-knowledge or any other intrusive login and leveraging the available devices capabilities without requiring any external sensors. Cloud Aura incorporates a variety of biometrics from different types, i.e. physiological, behavioural, and soft biometrics and deploys an on-going identity confidence level based upon them, which is subsequently reflected on the user privileges and mapped to the risk level associated to them, resulting in relevant reaction(s). While in use, it functions with minimal processing overhead thereby reducing the time required for the authentication decision. Ultimately, a functional proof of concept prototype is developed showing that Cloud Aura is feasible and would have the provisions of effective security and user convenience.

Awareness is a key component of any information security programme. This study sets out to establish whether SMEs are using the government cyber security initiatives and finds that only 4.3% of respondents are utilising the resource that is freely available from the newly formed National Cyber Security Centre. The principal reason for this is a lack of awareness, although the survey also reveals that respondents would use this service if they had knowledge of it. Furthermore, 72.3% are keen for the government to deliver a public cyber security awareness campaign from funds available to the National Cyber Security Strategy. The association of the NCSC with GCHQ is seen to increase the trust in the service the NCSC delivers, whilst incentivising SMEs to enhance their security is popular amongst the 46 respondents. Survey responses suggest that small and micro businesses believe that they are too small to attract cyber-attacks, under the misguided assumption that “security through obscurity” is a viable control to mitigate the cyber risk. This underlines the lack of awareness of the randomness of threats such as ransomware and supports the need for greater user knowledge.

Modern automobiles have been proven vulnerable to hacking by security researchers. By exploiting vulnerabilities in the car's external interfaces, attackers can access a car's controller area network (CAN) bus and cause malicious effects. We seek to detect these attacks on the bus as a last line of defence against automotive cyber attacks. The CAN bus standard defines a low-level message structure, upon which manufacturers layer their own proprietary command protocols; attacks must similarly be tailored for their target. This variability makes intrusion detection methods difficult to apply to the automotive CAN bus. Nevertheless, the bus traffic is generated by machines; thus we hypothesize that it can be characterized with machine learning, and that attacks produce anomalous traffic. Our goals are to show that anomaly detection trained without understanding of the message contents can detect attacks, and to create a framework for understanding how the characteristics of a novel attack can be used to predict its detectability. We developed a model that describes attacks based on their effect on bus traffic, informed by a review of published material on car hacking in combination with analysis of CAN traffic from a 2012 Subaru Impreza. The model specifies three high-level categories of effects: attacks that insert foreign packets, attacks that affect packet timing, and attacks that only modify data within packets. Foreign packet attacks are trivially detectable. For timing-based anomalies, we developed features suitable for one-class classification methods. For packet stream data word anomalies, we adapted recurrent neural networks and multivariate Markov model methods to sequence anomaly detection and compared their performance. We conducted experiments to evaluate our detection methods with special attention to the trade-off between precision and recall, given that a practical system requires a very low false alarm rate. The methods were evaluated by synthesizing anomalies within each attack category, parameterized to adjust their covertness. We generalize from the results to enable prediction of detection rates for new attacks using these methods.