In collaboration with several partner organizations, the project currently focuses on how children, families and communities in Botswana, South Africa and Zimbabwe are coping with the impact of HIV/AIDS. The aim of the project is to develop models of best practise so as to enhance and improve support structures for OVC in the southern African region as a whole.

This new initiative demonstrates a process and tools for managing the security vulnerability of sites that produce and handle chemicals, petroleum products, pharmaceuticals, and related materials such as fertilizers and water treatment chemicals. Includes: enterprise screening; site screening; protection analysis; security vulnerability assessment; action planning and tracking.

Much debate has been given as to whether computer security is improved through the full disclosure of security vulnerabilities versus keeping the problems private and unspoken. Although there is still tension between those who feel strongly about the subject, a middle ground of responsible disclosure seems to have emerged. Unfortunately, just as we’ve moved into an era with more responsible disclosure, it would seem that a market has emerged for security vulnerabilities and zero day exploits. Disclosure of Security Vulnerabilities: Legal and Ethical Issues considers both the ethical and legal issues involved with the disclosure of vulnerabilities and explores the ways in which law might respond to these challenges.

This book examines different aspects of network security metrics and their application to enterprise networks. One of the most pertinent issues in securing mission-critical computing networks is the lack of effective security metrics which this book discusses in detail. Since “you cannot improve what you cannot measure”, a network security metric is essential to evaluating the relative effectiveness of potential network security solutions. The authors start by examining the limitations of existing solutions and standards on security metrics, such as CVSS and attack surface, which typically focus on known vulnerabilities in individual software products or systems. The first few chapters of this book describe different approaches to fusing individual metric values obtained from CVSS scores into an overall measure of network security using attack graphs. Since CVSS scores are only available for previously known vulnerabilities, such approaches do not consider the threat of unknown attacks exploiting the so-called zero day vulnerabilities. Therefore, several chapters of this book are dedicated to develop network security metrics especially designed for dealing with zero day attacks where the challenge is that little or no prior knowledge is available about the exploited vulnerabilities, and thus most existing methodologies for designing security metrics are no longer effective. Finally, the authors examine several issues on the application of network security metrics at the enterprise level. Specifically, a chapter presents a suite of security metrics organized along several dimensions for measuring and visualizing different aspects of the enterprise cyber security risk, and the last chapter presents a novel metric for measuring the operational effectiveness of the cyber security operations center (CSOC). Security researchers who work on network security or security analytics related areas seeking new research topics, as well as security practitioners including network administrators and security architects who are looking for state of the art approaches to hardening their networks, will find this book helpful as a reference. Advanced-level students studying computer science and engineering will find this book useful as a secondary text.

This book constitutes the refereed proceedings of the 22nd Annual IFIP WG 11.3 Working Conference on Data and Applications Security held in London, UK, in July 2008. The 22 revised full papers presented together with 1 keynote lecture and 1 invited talk were carefully reviewed and selected from 56 submissions. The papers are organized in topical sections on access control, audit and logging, privacy, systems security, certificate management, trusted computing platforms, security policies and metrics, as well as Web and pervasive systems.

This is book offers in-depth analysis of security vulnerabilities in different mobile operating systems. It provides methodology and solutions for handling Android malware and vulnerabilities and transfers the latest knowledge in machine learning and deep learning models towards this end. Further, it presents a comprehensive analysis of software vulnerabilities based on different technical parameters such as causes, severity, techniques, and software systems’ type. Moreover, the book also presents the current state of the art in the domain of software threats and vulnerabilities. This would help analyze various threats that a system could face, and subsequently, it could guide the securityengineer to take proactive and cost-effective countermeasures. Security threats are escalating exponentially, thus posing a serious challenge to mobile platforms. Android and iOS are prominent due to their enhanced capabilities and popularity among users. Therefore, it is important to compare these two mobile platforms based on security aspects. Android proved to be more vulnerable compared to iOS. The malicious apps can cause severe repercussions such as privacy leaks, app crashes, financial losses (caused by malware triggered premium rate SMSs), arbitrary code installation, etc. Hence, Android security is a major concern amongst researchers as seen in the last few years. This book provides an exhaustive review of all the existing approaches in a structured format. The book also focuses on the detection of malicious applications that compromise users' security and privacy, the detection performance of the different program analysis approach, and the influence of different input generators during static and dynamic analysis on detection performance. This book presents a novel method using an ensemble classifier scheme for detecting malicious applications, which is less susceptible to the evolution of the Android ecosystem and malware compared to previous methods. The book also introduces an ensemble multi-class classifier scheme to classify malware into known families. Furthermore, we propose a novel framework of mapping malware to vulnerabilities exploited using Android malware’s behavior reports leveraging pre-trained language models and deep learning techniques. The mapped vulnerabilities can then be assessed on confidentiality, integrity, and availability on different Android components and sub-systems, and different layers.

Discusses all types of corporate risks and practical means of defending against them. Security is currently identified as a critical area of Information Technology management by a majority of government, commercial, and industrial organizations. Offers an effective risk management program, which is the most critical function of an information security program.