Recent Advances in Intrusion Detection 6th International Symposium, RAID 2003, Pittsburgh, PA, USA, September 8-10, 2003, Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Vigna, Giovanni (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Jonsson, Erland (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Kruegel, Christopher (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2003.
• Έκδοση: 1st ed. 2003.
• Σειρά: Lecture Notes in Computer Science, 2820
• Θέματα: Management information systems.; Computer science.; Data encryption (Computer science).; Computer communication systems.; Operating systems (Computers).; Computers and civilization.; Management of Computing and Information Systems.; Cryptology.; Computer Communication Networks.; Computer Science, general.; Operating Systems.; Computers and Society.

 Network Infrastructure -- Mitigating Distributed Denial of Service Attacks Using a Proportional-Integral-Derivative Controller -- Topology-Based Detection of Anomalous BGP Messages -- Anomaly Detection I -- Detecting Anomalous Network Traffic with Self-organizing Maps -- An Approach for Detecting Self-propagating Email Using Anomaly Detection -- Correlation -- Statistical Causality Analysis of INFOSEC Alert Data -- Correlation of Intrusion Symptoms: An Application of Chronicles -- Modeling and Specification -- Modeling Computer Attacks: An Ontology for Intrusion Detection -- Using Specification-Based Intrusion Detection for Automated Response -- IDS Sensors -- Characterizing the Performance of Network Intrusion Detection Sensors -- Using Decision Trees to Improve Signature-Based Intrusion Detection -- Ambiguity Resolution via Passive OS Fingerprinting -- Anomaly Detection II -- Two Sophisticated Techniques to Improve HMM-Based Intrusion Detection Systems -- An Analysis of the 1999 DARPA/Lincoln Laboratory Evaluation Data for Network Anomaly Detection.