Author: Pak-Hi HoPublisher:
ISBN:
Category :
Languages : en
Pages : 202
Book Description
Database Auditing for Discovering Vulnerabilities and Detecting Insider Misuses
Author: Pak-Hi HoData Profiling and the Access Path Model
Author: Madhavi GandhiInsider Threats in Cyber Security
Author: Christian W. ProbstPublisher: Springer Science & Business Media
ISBN: 1441971335
Category : Computers
Languages : en
Pages : 248
Book Description
Insider Threats in Cyber Security is a cutting edge text presenting IT and non-IT facets of insider threats together. This volume brings together a critical mass of well-established worldwide researchers, and provides a unique multidisciplinary overview. Monica van Huystee, Senior Policy Advisor at MCI, Ontario, Canada comments "The book will be a must read, so of course I’ll need a copy." Insider Threats in Cyber Security covers all aspects of insider threats, from motivation to mitigation. It includes how to monitor insider threats (and what to monitor for), how to mitigate insider threats, and related topics and case studies. Insider Threats in Cyber Security is intended for a professional audience composed of the military, government policy makers and banking; financing companies focusing on the Secure Cyberspace industry. This book is also suitable for advanced-level students and researchers in computer science as a secondary text or reference book.
Integrity and Internal Control in Information Systems V
Author: Michael GertzPublisher: Springer
ISBN: 0387356932
Category : Business & Economics
Languages : en
Pages : 223
Book Description
Integrity and Internal Control in Information Systems V represents a continuation of the dialogue between researchers, information security specialists, internal control specialists and the business community. The objectives of this dialogue are: -To present methods and techniques that will help business achieve the desired level of integrity in information systems and data; -To present the results of research that may be used in the near future to increase the level of integrity or help management maintain the desired level of integrity; -To investigate the shortcomings in the technologies presently in use, shortcomings that require attention in order to protect the integrity of systems in general. The book contains a collection of papers from the Fifth International Working Conference on Integrity and Internal Control in Information Systems (IICIS), sponsored by the International Federation for Information Processing (IFIP) and held in Bonn, Germany in November 2002.
Handbook of Database Security
Author: Michael GertzPublisher: Springer Science & Business Media
ISBN: 0387485333
Category : Computers
Languages : en
Pages : 579
Book Description
Handbook of Database Security: Applications and Trends provides an up-to-date overview of data security models, techniques, and architectures in a variety of data management applications and settings. In addition to providing an overview of data security in different application settings, this book includes an outline for future research directions within the field. The book is designed for industry practitioners and researchers, and is also suitable for advanced-level students in computer science.
Classification and Clustering for Knowledge Discovery
Author: Saman K. HalgamugePublisher: Springer Science & Business Media
ISBN: 9783540260738
Category : Mathematics
Languages : en
Pages : 376
Book Description
Knowledge Discovery today is a significant study and research area. In finding answers to many research questions in this area, the ultimate hope is that knowledge can be extracted from various forms of data around us. This book covers recent advances in unsupervised and supervised data analysis methods in Computational Intelligence for knowledge discovery. In its first part the book provides a collection of recent research on distributed clustering, self organizing maps and their recent extensions. If labeled data or data with known associations are available, we may be able to use supervised data analysis methods, such as classifying neural networks, fuzzy rule-based classifiers, and decision trees. Therefore this book presents a collection of important methods of supervised data analysis. "Classification and Clustering for Knowledge Discovery" also includes variety of applications of knowledge discovery in health, safety, commerce, mechatronics, sensor networks, and telecommunications.
Network and System Security
Author: Joseph K. LiuPublisher: Springer Nature
ISBN: 3030369382
Category : Computers
Languages : en
Pages : 740
Book Description
This book constitutes the proceedings of the 13th International Conference on Network and System Security, NSS 2019, held in Sapporo, Japan, in December 2019. The 36 full papers and 7 short papers presented together with 4 invited papers in this book were carefully reviewed and selected from 89 initial submissions. The papers cover a wide range of topics in the field, including authentication, access control, availability, integrity, privacy, confidentiality, dependability and sustainability of computer networks and systems.
Effective AI, Blockchain, and E-Governance Applications for Knowledge Discovery and Management
Author: Kumar, RajeevPublisher: IGI Global
ISBN: 1668491532
Category : Computers
Languages : en
Pages : 421
Book Description
Emerging technologies have become both crucibles and showrooms for the practical application of artificial intelligence, the internet of things, and cloud computing, and for integrating big data into everyday life. Is the digital world optimized and sustainable using intelligence systems, machine learning, and cyber security methods? This complex concoction of challenges requires new thinking of the synergistic utilization of intelligence systems, machine learning, deep learning and blockchain methods, data-driven decision-making with automation infrastructure, autonomous transportation, and connected buildings. Effective AI, Blockchain, and E-Governance Applications for Knowledge Discovery and Management provides a global perspective on current and future trends concerning the integration of intelligent systems with cybersecurity applications, including recent advances and challenges related to the concerns of security and privacy issues in deep learning with an emphasis on the current state-of-the-art methods, methodologies and implementation, attacks, and countermeasures. The book also discusses the challenges that need to be addressed for implementing DL-based security mechanisms that should have the capability of collecting or distributing data across several applications. Topics covered include skill development and tools for intelligence systems, deep learning, machine learning, blockchain, IoT, cloud computing, data ethics, and infrastructure. It is ideal for independent researchers, research scholars, scientists, libraries, industry experts, academic students, business associations, communication and marketing agencies, entrepreneurs, and all potential audiences with a specific interest in these topics.
The CERT Guide to Insider Threats
Author: Dawn M. CappelliPublisher: Addison-Wesley
ISBN: 013290604X
Category : Computers
Languages : en
Pages : 431
Book Description
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, business partners, outsourcers, and even cloud-computing vendors. They cover all major types of insider cyber crime: IT sabotage, intellectual property theft, and fraud. For each, they present a crime profile describing how the crime tends to evolve over time, as well as motivations, attack methods, organizational issues, and precursor warnings that could have helped the organization prevent the incident or detect it earlier. Beyond identifying crucial patterns of suspicious behavior, the authors present concrete defensive measures for protecting both systems and data. This book also conveys the big picture of the insider threat problem over time: the complex interactions and unintended consequences of existing policies, practices, technology, insider mindsets, and organizational culture. Most important, it offers actionable recommendations for the entire organization, from executive management and board members to IT, data owners, HR, and legal departments. With this book, you will find out how to Identify hidden signs of insider IT sabotage, theft of sensitive information, and fraud Recognize insider threats throughout the software development life cycle Use advanced threat controls to resist attacks by both technical and nontechnical insiders Increase the effectiveness of existing technical security tools by enhancing rules, configurations, and associated business processes Prepare for unusual insider attacks, including attacks linked to organized crime or the Internet underground By implementing this book’s security practices, you will be incorporating protection mechanisms designed to resist the vast majority of malicious insider attacks.
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