12th USENIX Security Symposium Abstract
Pp. 153-168 of the Proceedings
Detecting Malicious Java Code Using Virtual Machine Auditing
Sunil Soman, Chandra Krintz, and Giovanni Vigna, University of California, Santa Barbara
The Java Virtual Machine (JVM)
is evolving as an infrastructure for the
efficient execution of large-scale, network-based applications.
To enable secure execution in this environment, industrial
and academic efforts have implemented
extensive support for verification of type-safety,
authentication, and access control. However,
JVMs continue to lack intrinsic support for intrusion detection.
Existing operating system auditing facilities and
host-based intrusion detection systems operate at the process
level, with the assumption that one application is mapped onto one
process. However, in many cases, multiple Java applications are
executed concurrently as threads within a single
JVM process. As such, it is difficult to analyze the behavior of Java
applications using the corresponding OS-level audit trail. In addition, the
malicious actions of a single Java application may trigger a response that
disables an entire execution environment. To overcome these limitations, we
have developed a thread-level auditing facility for the Java Virtual Machine
and an intrusion detection tool that uses audit data generated by this
facility to detect attacks by malicious Java code. This paper describes
the JVM auditing mechanisms, the intrusion detection tool, and the quantitative
evaluation of their performance.
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