Bültmann & Gerriets
Privacy-Respecting Intrusion Detection
von Ulrich Flegel
Verlag: Springer US
Reihe: Advances in Information Security Nr. 35
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ISBN: 978-0-387-68254-9
Auflage: 2007
Erschienen am 28.08.2007
Sprache: Englisch
Umfang: 307 Seiten

Preis: 96,29 €

Inhaltsverzeichnis
Klappentext

and Background.- Authorizations.- An Architectural Model for Secure Authorizations.- Traditional Security Objectives.- Personal Data Protection Objectives.- The Challenge: Technical Enforcement of Multilateral Security.- Pseudonyms - A Technical Point of View.- An Architectural Model for Pseudonymous and Secure Authorizations.- Comparing Architectures.- Audit Data Pseudonymization.- Set-based Approach.- Requirements, Assumptions and Trust Model.- Modeling Conditions for Technical Purpose Binding of Controlled Pseudonym Disclosure.- Cryptographic Enforcement of Disclosure Conditions.- The Mismatch Problem.- Operational Pseudonymization and Pseudonym Disclosure.- Extensions.- Application to Unix Audit Data.- Unix Audit Data.- Syslog.- Instantiating the Set-based Approach for Syslog-style Audit Data.- Implementation: Pseudo/CoRe.- Evaluation.- APES: Anonymity and Privacy in Electronic Services.- Evaluating the Design Using Basic Building Blocks for Anonymity.- Evaluating the Performance of the Implementation.- Refinement of Misuse Scenario Models.- Motivating Model Refinements.- Models of Misuse Scenarios.- Pseudonymization Based on Serial Signature-Nets.- Pseudonym Linkability.- Pseudonym Disclosure.



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.


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