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The CERT Guide to Insider Threats
Since 2001, the CERT® Insider Threat Center at Carnegie Mellon University’s Software Engineering Institute (SEI) has collected and analyzed information about more than seven hundred insider cyber crimes, ranging from national security espionage to theft of trade secrets. The CERT® Guide to Insider Threats describes CERT’s findings in practical terms, offering specific guidance and countermeasures that can be immediately applied by executives, managers, security officers, and operational staff within any private, government, or military organization. The authors systematically address attacks by all types of malicious insiders, including current and former employees, contractors, busine...
Insider Attack and Cyber Security
This book defines the nature and scope of insider problems as viewed by the financial industry. This edited volume is based on the first workshop on Insider Attack and Cyber Security, IACS 2007. The workshop was a joint effort from the Information Security Departments of Columbia University and Dartmouth College. The book sets an agenda for an ongoing research initiative to solve one of the most vexing problems encountered in security, and a range of topics from critical IT infrastructure to insider threats. In some ways, the insider problem is the ultimate security problem.
Anomaly Detection as a Service
Anomaly detection has been a long-standing security approach with versatile applications, ranging from securing server programs in critical environments, to detecting insider threats in enterprises, to anti-abuse detection for online social networks. Despite the seemingly diverse application domains, anomaly detection solutions share similar technical challenges, such as how to accurately recognize various normal patterns, how to reduce false alarms, how to adapt to concept drifts, and how to minimize performance impact. They also share similar detection approaches and evaluation methods, such as feature extraction, dimension reduction, and experimental evaluation. The main purpose of this b...
Malware Analysis Using Artificial Intelligence and Deep Learning
This book is focused on the use of deep learning (DL) and artificial intelligence (AI) as tools to advance the fields of malware detection and analysis. The individual chapters of the book deal with a wide variety of state-of-the-art AI and DL techniques, which are applied to a number of challenging malware-related problems. DL and AI based approaches to malware detection and analysis are largely data driven and hence minimal expert domain knowledge of malware is needed. This book fills a gap between the emerging fields of DL/AI and malware analysis. It covers a broad range of modern and practical DL and AI techniques, including frameworks and development tools enabling the audience to innovate with cutting-edge research advancements in a multitude of malware (and closely related) use cases.
The Oxford Handbook of Nuclear Security
The Oxford Handbook of Nuclear Security provides a comprehensive examination of efforts to secure sensitive nuclear assets and mitigate the risk of nuclear terrorism and other non-state actor threats. It aims to provide the reader with a holistic understanding of nuclear security through exploring its legal, political, and technical dimensions at the international, national, and organizational levels. Recognizing there is no one-size-fits-all approach to nuclear security, the book explores fundamental elements and concepts in practice through a number of case studies which showcase how and why national and organizational approaches have diverged. Although focused on critiquing past and curre...
Cybervetting
Researching an individual‘s, firm‘s or brands online presence has become standard practice for many employers, investigators, and intelligence officers, including law enforcement. Countless companies and organizations are implementing their own policies, procedures, and practices for Internet investigations, cybervetting, and intelligence.
Internet Searches for Vetting, Investigations, and Open-Source Intelligence
In the information age, it is critical that we understand the implications and exposure of the activities and data documented on the Internet. Improved efficiencies and the added capabilities of instant communication, high-speed connectivity to browsers, search engines, websites, databases, indexing, searching and analytical applications have made
Human-Computer Interaction and Cybersecurity Handbook
Recipient of the SJSU San Jose State University Annual Author & Artist Awards 2019 Recipient of the SJSU San Jose State University Annual Author & Artist Awards 2018 Cybersecurity, or information technology security, focuses on protecting computers and data from criminal behavior. The understanding of human performance, capability, and behavior is one of the main areas that experts in cybersecurity focus on, both from a human–computer interaction point of view, and that of human factors. This handbook is a unique source of information from the human factors perspective that covers all topics related to the discipline. It includes new areas such as smart networking and devices, and will be ...
Insider Threat
Insider Threat: Detection, Mitigation, Deterrence and Prevention presents a set of solutions to address the increase in cases of insider threat. This includes espionage, embezzlement, sabotage, fraud, intellectual property theft, and research and development theft from current or former employees. This book outlines a step-by-step path for developing an insider threat program within any organization, focusing on management and employee engagement, as well as ethical, legal, and privacy concerns. In addition, it includes tactics on how to collect, correlate, and visualize potential risk indicators into a seamless system for protecting an organization’s critical assets from malicious, compla...
Software Architecture in Practice
The award-winning and highly influential Software Architecture in Practice, Third Edition, has been substantially revised to reflect the latest developments in the field. In a real-world setting, the book once again introduces the concepts and best practices of software architecture—how a software system is structured and how that system’s elements are meant to interact. Distinct from the details of implementation, algorithm, and data representation, an architecture holds the key to achieving system quality, is a reusable asset that can be applied to subsequent systems, and is crucial to a software organization’s business strategy. The authors have structured this edition around the co...
