Titlebook: Recent Advances in Intrusion Detection; 7th International Sy Erland Jonsson,Alfonso Valdes,Magnus Almgren Conference proceedings 2004 Sprin

colostrum

Automatic Extraction of Accurate Application-Specific Sandboxing Policyecks the application’s run-time system call pattern against this model to thwart any control hijacking attacks. The per-application behavior model is in the form of the . and . of system calls made in the application, as well as its partial control flow. Experiments on a fully working . prototype sh

nitric-oxide

HoneyStat: Local Worm Detection Using Honeypots and network alerts. Data collection is automated, and once an alert is issued, a time segment of previous traffic to the node is analyzed. A logit analysis determines what previous network activity explains the current honeypot alert. The result can indicate whether an automated or worm attack is p

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EXALT

Detection of Interactive Stepping Stones: Algorithms and Confidence Boundsto send to evade detection. Our results are based on a new approach which can detect correlation of streams at a fine-grained level. Our approach may also apply to more generalized traffic analysis domains, such as anonymous communication.

Admire

Formal Reasoning About Intrusion Detection Systemsthe security of the system. The formal framework and analysis methodology will provide a scientific basis for one to argue that an IDS can detect known and unknown attacks by arguing that the IDS detects all attacks that would violate a policy.

FORGO

RheoStat: Real-Time Risk Managementgated to code that is customized to the specific right. The code can then use the runtime context to make a more informed choice, thereby tightening access to a resource when a threat is detected. The running time can be constrained to provide performance guarantees..The framework was implemented by

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使痛苦

Mizuki Oka,Yoshihiro Oyama,Hirotake Abe,Kazuhiko Kato

遠(yuǎn)足

Tao Song,Calvin Ko,Jim Alves-Foss,Cui Zhang,Karl Levitt