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2007 The Third International Symposium on Information Assurance and Security
Building Trustworthy Intrusion Detection through VM Introspection
Manchester, United Kingdom
August 29-August 31
ISBN: 0-7695-2876-7
Fabrizio Baiardi, Universita di Pisa, Italy
Daniele Sgandurra, Universita di Pisa, Italy
Psyco-Virt is a high assurance intrusion detection tool that merges host and network intrusion detection technologies with virtual machine introspection. Psyco-Virt architecture includes a cluster of virtual machines, the monitored VMs, which run the OS and applications of interest, and a further VM, the introspection one. Several agents distributed across the monitored VMs execute network and host IDS tools to discover attempted intrusions/attacks on the monitored VMs. The introspection VM makes the detection tools trustworthy by running an introspector and a director to discover any attempt to maliciously modify the kernel, the agents and the IDSes hosted on a monitored VM. On each monitored VM a collector gathers the alerts generated by the agents and forwards them to the director through a control network dedicated to data exchange among the agents and the introspection VM. The director on the introspection VMfilters all the alerts and delegates the execution of a proper action to a notifier whenever an intrusion or an attempt to modify the IDSes is detected. In such cases, a monitored VM can either be stopped or frozen and its current state saved in a file for a later, deeper inspection.

After describing Psyco-Virt, we discuss some examples of agents and functions using introspection and present preliminary results and performance figures of a first prototype.

Index Terms:
virtual machines, introspection, intrusion detection system, integrity, network security
Citation:
Fabrizio Baiardi, Daniele Sgandurra, "Building Trustworthy Intrusion Detection through VM Introspection," ias, pp.209-214, 2007 The Third International Symposium on Information Assurance and Security, 2007
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