Recent Advances in Intrusion Detection: 10th International by Darren Mutz, William Robertson, Giovanni Vigna, Richard

By Darren Mutz, William Robertson, Giovanni Vigna, Richard Kemmerer (auth.), Christopher Kruegel, Richard Lippmann, Andrew Clark (eds.)

This ebook constitutes the refereed court cases of the tenth foreign Symposium on contemporary Advances in Intrusion Detection, RAID 2007, held in Gold Coast, Australia in September 2007.

The 17 revised complete papers offered have been conscientiously reviewed and chosen from one zero one submissions. The papers are equipped in topical sections on anomaly detection, assaults, approach evaluate and chance overview, malware assortment and research, anomaly- and specification-based detection, and community intrusion detection.

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Additional resources for Recent Advances in Intrusion Detection: 10th International Symposium, RAID 2007, Gold Goast, Australia, September 5-7, 2007. Proceedings

Sample text

That monitor limits the program’s execution by the model every time the program is subsequently loaded for execution. Using the ptrace system call, the monitor intercepts the software breakpoints previously inserted by DynInst. For each interception, the target of a control transfer is extracted from the program’s context or memory. This method of extracting control-flow information ensures that an attacker cannot pass fake Understanding Precision in Host Based Intrusion Detection 37 information to the monitor.

Therefore, Be = {B1, B6, B7, B8}. Notice that even though block B1 contains a branch with static target addresses, it must be visible to the monitor. Our simplification generalizes to any control-flow model. Unlike CFI, which only considers dynamically computed control-transfer instructions, the set Be may include control-transfer instructions with static targets if they become an anomaly generating or correlating event. For example, a model enforcing correlated branching would verify the static branches that were correlated.

However, unless an execution sequence generates a unique system call sequence, EvS can never be as precise as Ev . Using control-flow sequences, we can capture the association between consecutively executed basic blocks in order to uniquely represent executions. 4 Control-Flow Sequence Based Intrusion Detection In order to be able analyze the precision of any control-flow based model, in this section we present a control-flow sequence based IDS model, which for now, assumes the exposure of all control-flow transfers in a program.

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