Network security risk analysis has received great attention within the scientific community, due to the current proliferation of network attacks and threats. Although, considerable effort has been placed on improving security best practices, insufficient effort has been expanded on seeking to understand the relationship between risk-related variables and objectives related to cost-effective network security decisions. This thesis seeks to improve the body of knowledge focusing on the trade-offs between financial costs and risk while analysing the impact an identified vulnerability may have on confidentiality, integrity and availability (CIA). Both security best practices and risk assessment methodologies have been extensively investigated to give a clear picture of the main limitations in the area of risk analysis. The work begins by analysing information visualisation techniques, which are used to build attack scenarios and identify additional threats and vulnerabilities. Special attention is paid to attack graphs, which have been used as a base to design a novel visualisation technique, referred to as an Onion Skin Layered Technique (OSLT), used to improve system knowledge as well as for threat identification. By analysing a list of threats and vulnerabilities during the first risk assessment stages, the work focuses on the development of a novel Risk Assessment and Optimisation Model (RAOM), which expands the knowledge of risk analysis by formulating a multi-objective optimisation problem, where objectives such as cost and risk are to be minimised. The optimisation routine is developed so as to accommodate conflicting objectives and to provide the human decision maker with an optimum solution set. The aim is to minimise the cost of security countermeasures without increasing the risk of a vulnerability being exploited by a threat and resulting in some impact on CIA. Due to the multi-objective nature of the problem a performance comparison between multi-objective Tabu Search (MOTS) Methods, Exhaustive Search and a multi-objective Genetic Algorithm (MOGA) has been also carried out. Finally, extensive experimentation has been carried out with both artificial and real world problem data (taken from the case study) to show that the method is capable of delivering solutions for real world problem data sets.

Contingency theory, with regard to risk of homeland security incidents and homeland security preparedness, has received considerable empirical support. In past research, risk has been measured subjectively as agency executives' perceived risk of specific homeland security incidents occurring within their jurisdictions. This study examines actual risk, using the objective risk factors of experience with past natural hazards, social vulnerability, and urbanization. These risk factors, used in combination, have been significantly associated with terrorism-related homeland security incidents in the United States, and are used in risk assessment models of natural hazards. Contrary to expectations, the results of this study indicate that objective risk factors were not associated with either perceived risk or preparedness. Policy implications and directions for future research are discussed.

For companies that develop and operate IT applications that process the personal data of customers and employees, a major problem is protecting these data and preventing privacy breaches. Failure to adequately address this problem can result in considerable damage to the company's reputation and finances, as well as negative effects for customers or employees (data subjects). To address this problem, we propose a methodology that systematically considers privacy issues by using a step-by-step privacy impact assessment (PIA). Existing PIA approaches cannot be applied easily because they are improperly structured or imprecise and lengthy. We argue that companies that employ our PIA can achieve "privacy-by-design", which is widely heralded by data protection authorities. In fact, the German Federal Office for Information Security (BSI) ratified the approach we present in this article for the technical field of RFID and published it as a guideline in November 2011. The contribution of the artefacts we created is twofold: First, we provide a formal problem representation structure for the analysis of privacy requirements. Second, we reduce the complexity of the privacy regulation landscape for practitioners who need to make privacy management decisions for their IT applications.

Nowadays, security risk assessment has become an integral part of network security as everyday life has become interconnected with and dependent on computer networks. There are various types of data in the network, often with different criticality in terms of availability or confidentiality or integrity of information. Critical data is riskier when it is exploited. Data criticality has an impact on network security risks. The challenge of diminishing security risks in a specific network is how to conduct network security risk analysis based on data criticality. An interesting aspect of the challenge is how to integrate the security metric and the threat modeling, and how to consider and combine the various elements that affect network security during security risk analysis. To the best of our knowledge, there exist no security risk analysis techniques based on threat modeling that consider the criticality of data. By extending the security risk analysis with data criticality, we consider its impact on the network in security risk assessment. To acquire the corresponding security risk value, a method for integrating data criticality into graphical attack models via using relevant metrics is needed. In this thesis, an approach for calculating the security risk value considering data criticality is proposed. Our solution integrates the impact of data criticality in the network by extending the attack graph with data criticality. There are vulnerabilities in the network that have potential threats to the network. First, the combination of these vulnerabilities and data criticality is identified and precisely described. Thereafter the interaction between the vulnerabilities through the attack graph is taken into account and the final security metric is calculated and analyzed. The new security metric can be used by network security analysts to rank security levels of objects in the network. By doing this, they can find objects that need to be given additional attention in their daily network protection work. The security metric could also be used to help them prioritize vulnerabilities that need to be fixed when the network is under attack. In general, network security analysts can find effective ways to resolve exploits in the network based on the value of the security metric.

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The banking industry is one of the critical infrastructures in any economy. The services rendered by banks are systematically based on innovation, products, and technology to leverage their services. Several associated risks come along with the rendering of these banking services. The protection of critical information assets of any banking organization should be a top priority of the management. They must ensure that adequate provision is made to develop a strong strategy to control, reduce, and mitigate tasks, such as fraud, cyber-attacks, and other forms of cybersecurity exploitations.  Risk management is a series of actions to identify, assess and control threats and vulnerabilities in an organization's capital investment and revenue. These potential risks arise from diverse sources like credit risk, liquidity risk, financial uncertainties, legal actions, technology failures, business strategic management errors, accidental occurrences, and natural disasters.  This research study aimed to investigate the factors influencing the implementation of information security risk management in Nigerian Commercial Banks, using a social-technical system framework to address a fundamental human risk factor, which contributes predominately to the failure in information security risk management. These research was motivated by the fact that Nigerian banking sector is facing serious threats' threat emanate from cyber-attacks. Evidenced by the ever-increasing cyber-attacks, as demonstrated by a total of 1,612 complaints from consumers of financial services over banking fraud and aggressive charges received between July and December 2018 of which 99.38% of these incidences were against the commercial banks. The banks are faced with a lot of vulnerabilities and cybersecurity threats, and most of the attacks that happened within the banking sector are focused on the customers, and employees through phishing and social engineering. These showed weaknesses in information security management within the Nigerian banking industry.  However, the study was guided by the social-technical theory that advocates for overall training to the stakeholders that helps in changing their beliefs and norms about organization of IS security. In order to find out the factors influencing the implementation of information security risks management in respect of Nigerian Commercial Banks, this study evaluated the influence of management support, technical experts support, funding and users’ security awareness to curb the cyber-attacks in Nigerian financial sector. The contribution of this research is expected to lead to the improvement in the financial system, and organizations, where cybersecurity and information security risk management processes are taken seriously, to reduce the high level of information security risk, threats, and vulnerabilities. Nigeria is a developing country, and at the same time fighting to develop a more conducive business investment environment to attract both national and international investors.  A mixed approach research (qualitative and quantitative) method was used to validate this research study. Data collection tools used included interviews and questionnaires. Data analysis was done using the SPSS and logistic regression model.

L’essor du Cloud Computing, permettant de partager les coûts et les ressources au travers de la virtualisation, présage une interconnexion dynamique et flexible entre entreprises et fournisseurs. Cependant, cette mise en commun de ressources, données et savoir-faire implique de nouvelles exigences en termes de sécurité. En effet, le manque de confiance dans les structures du Cloud est souvent vu comme un frein au développement de tels services. L’objectif de cette thèse est d’étudier les concepts d’orchestration de services, de confiance et de gestion des risques dans le contexte du Cloud. La contribution principale est un framework permettant de déployer des processus métiers dans un environnement Cloud, en limitant les risques de sécurité liés à ce contexte. La contribution peut être séparée en trois partie distinctes qui prennent la forme d'une méthode, d'un modèle et d'un framework. La méthode catégorise des techniques pour transformer un processus métier existant en un modèle sensibilisé (ou averti) qui prend en compte les risques de sécurité spécifiques aux environnements Cloud. Le modèle formalise les relations et les responsabilités entre les différents acteurs du Cloud. Ce qui permet d'identifier les différentes informations requises pour évaluer et quantifier les risques de sécurité des environnements Cloud. Le framework est une approche complète de décomposition de processus en fragments qui peuvent être automatiquement déployés sur plusieurs Clouds. Ce framework intègre également un algorithme de sélection qui combine les information de sécurité avec d'autres critère de qualité de service pour générer des configuration optimisées. Finalement, les travaux sont implémentés pour démontrer la validité de l'approche. Le framework est implémenté dans un outil. Le modèle d'évaluation des risques de sécurité Cloud est également appliqué dans un contexte de contrôle d'accès. La dernière partie présente les résultats de l'implémentation de nos travaux sur un cas d'utilisation réel. / Nowadays service ecosystems rely on dynamic software service chains that span over multiple organisations and providers. They provide an agile support for business applications, governments of end-users. This trend is reinforced by the Cloud based economy that allows sharing of costs and resources. However, the lack of trust in such cloud environments, that involve higher security requirements, is often seen as a braking force to the development of such services. The objective of this thesis is to study the concepts of service orchestration and trust in the context of the Cloud. It proposes an approach which supports a trust model in order to allow the orchestration of trusted business process components on the cloud. The contribution is threefold and consists in a method, a model and a framework. The method categorizes techniques to transform an existing business process into a risk-aware process model that takes into account security risks related to cloud environments. The model formalizes the relations and the responsibilities between the different actors of the cloud. This allows to identify the different information required to assess and quantify security risks in cloud environments. The framework is a comprehensive approach that decomposes a business process into fragments that can automatically be deployed on multiple clouds. The framework also integrates a selection algorithm that combines security information with other quality of service criteria to generate an optimized configuration. Finally, the work is implemented in order to validate the approach. The framework is implemented in a tool. The security assessment model is also applied over an access control model. The last part presents the results of the implementation of our work on a real world use case.

Simplifying network security data to the point that it is readily accessible and usable by a wider audience is increasingly becoming important, as networks become larger and security conditions and threats become more dynamic and complex, requiring a broader and more varied security staff makeup. With the need for a simple metric to quantify the security level on a network, this thesis proposes: simplify a network’s security risk level into a simple metric. Methods for this simplification of an entire network’s security level are conducted on several characteristic networks. Identification of computer network port vulnerabilities from NIST’s Network Vulnerability Database (NVD) are conducted, and via utilization of NVD’s Common Vulnerability Scoring System values, composite scores are created for each computer on the network, and then collectively a composite score is computed for the entire network, which accurately represents the health of the entire network. Special concerns about small numbers of highly vulnerable computers or especially critical members of the network are confronted.

Security is one of the key concerns in the domain of Information Technology systems. Maintaining the confidentiality, integrity and availability of such systems, mandates a rigorous prior analysis of the security risks that confront these systems. In order to analyze, mitigate and recover from these risks a metrics based methodology is essential in prioritizing the response strategies to these risks and also this approach is required for resource allocation schedules to mitigate such risks. In addition to that the Enterprise Objectives must be focally integrated in the definition, impact calculation and prioritization stages of this analysis to come up with metrics that are useful both for the technical and managerial communities within an organization. Also this inclusion will act as a preliminary filter to overcome the real life scalability issues inherent with such threat modeling efforts. Within this study an attack tree based approach will be utilized to offer an IT Security Risk Evaluation Method and Metric called TEOREM (Tree based Enterprise Objectives Risk Evaluation Method and Metric) that integrates the Enterprise Objectives with the Information Asset vulnerability analysis within an organization. Applicability of the method has been analyzed within a real life setting and the findings are discussed as well within this study.

Information security (IS)-related risks affect global public and private organizations on a daily basis. These risks may be introduced through technical or human-based activities, and can include fraud, hacking, malware, insider abuse, physical loss, mobile device misconfiguration or unintended disclosure. Numerous and diverse regulatory and contractual compliance requirements have been mandated to assist organizations proactively prevent these types of risks. Two constants are noted in these requirements. The first constant is requiring organizations to disseminate security policies addressing risk management through secure behavior. The second constant is communicating policies through IS awareness, training and education (ISATE) programs. Compliance requirements direct that these policies provide instruction about making compliant and positive security decisions to reduce risk. Policy-driven and organizationally-relevant ISATE content is understood to be foundational and critical to prevent security risk. The problem identified for investigation is inconsistency of the terms awareness, training and education as found in security-related regulatory, contractual and policy compliance requirements. Organizations are mandated to manage a rapidly increasing portfolio of inconsistent ISATE compliance requirements generated from many sources. Since there is no one set of common guidance for compliance, organizations struggle to meet global, diverse and inconsistent compliance requirements. Inconsistent policy-related content and instructions, generated from differing sources, may cause incorrect security behavior that can present increased security risk. Traditionally, organizations were required to provide only internally-developed programs, with content left to business, regulatory/contractual, and cultural discretion. Updated compliance requirements now require organizations to disseminate externally-developed content in addition to internally-provided content. This real-world business requirement may cause compliance risks due to inconsistent instruction, guidance gaps and lack of organizational relevance. The problem has been experienced by industry practitioners within the last five years due to increased regulatory and contractual compliance requirements. Prior studies have not yet identified specific impacts of multiple and differing compliance requirements on organizations. The need for organizational relevance in ISATE content has been explored in literature, but the amount of organizationally-relevant content has not been examined in balance of newer compliance mandates.The goal of the research project was to develop a standard content definition and framework. Experienced practitioners responsible for ISATE content within their organizations participated in a survey to validate definitions, content, compliance and organizational relevance requirements imposed on their organizations. Fifty-five of 80 practitioners surveyed (68.75% participation rate) provided responses to one or more sections of the survey. This research is believed to be the first to suggest a standardized content definition for ISATE program activities based on literature review, assessment of existing regulatory, contractual, standard and framework definitions and information obtained from specialized practitioner survey data. It is understood to be the first effort to align and synthesize cross-industry compliance requirements, security awareness topics and organizational relevance within information security awareness program content. Findings validated that multiple and varied regulatory and contractual compliance requirements are imposed on organizations. A lower number of organizations were impacted by third party program requirements than was originally expected. Negative and positive impacts of third party compliance requirements were identified. Program titles and content definitions vary in respondent organizations and are documented in a variety of organizational methods. Respondents indicated high acceptance of a standard definition of awareness, less so for training and education. Organizationally-relevant program content is highly important and must contain traditional and contemporary topics. Results are believed to be an original contribution to information/cyber security practitioners, with findings of interest to academic researchers, standards/framework bodies, auditing/risk management practitioners and learning/development specialists.