Effective response to misuse or abusive activity in IT systems requires the capability to detect and understand improper activity. Intrusion Detection Systems observe IT activity, record these observations in audit data, and analyze the collected audit data to detect misuse. Privacy-Respecting Intrusion Detection introduces the concept of technical purpose binding, which restricts the linkability of pseudonyms in audit data to the amount necessary for misuse detection. Also, it limits the recovery of personal data to pseudonyms involved in a detected misuse scenario. The book includes case studies demonstrating this theory, and solutions that are constructively validated by providing algorithms.
This book constitutes the refereed proceedings of the 6th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, DIMVA 2009, held in Milan, Italy, in July 2009. The 10 revised full papers presented together with three extended abstracts were carefully selected from 44 initial submissions. The papers are organized in topical sections on malware and SPAM, emulation-based detection, software diversity, harnessing context, and anomaly detection.
This book present the value school of corporate governance, outlining a multitude of areas where corporate governance could add real worth, and showing how this can be put into effect. No “one-size-fits-all” model emerges as a solution. Rather, the insights in this book take idiosyncrasies and dynamics over time into consideration. They consider the main issues and their real causes, ownership settings, country settings and new developments in corporate governance research and practice. International focus places emphasises on typical patterns, predicament and solutions instead of national laws. Points are illustrated with in-depth case studies and highlighted learning nuggets. Alerts the reader to typical dilemmas and traps in attaining the goal of value creation, whilst also pointing to promising avenues forward.
Effective response to misuse or abusive activity in IT systems requires the capability to detect and understand improper activity. Intrusion Detection Systems observe IT activity, record these observations in audit data, and analyze the collected audit data to detect misuse. Privacy-Respecting Intrusion Detection introduces the concept of technical purpose binding, which restricts the linkability of pseudonyms in audit data to the amount necessary for misuse detection. Also, it limits the recovery of personal data to pseudonyms involved in a detected misuse scenario. The book includes case studies demonstrating this theory, and solutions that are constructively validated by providing algorithms.
This book constitutes the refereed proceedings of the 6th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, DIMVA 2009, held in Milan, Italy, in July 2009. The 10 revised full papers presented together with three extended abstracts were carefully selected from 44 initial submissions. The papers are organized in topical sections on malware and SPAM, emulation-based detection, software diversity, harnessing context, and anomaly detection.
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