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Mining Security-Sensitive Operations in Legacy Code using Concept Analysis
Published in ICSE’07: Proceedings of the
29th International Conference on Software Engineering, Minneapolis, Minnesota, May 2007
Mining Security-Sensitive Operations in Legacy Code using Concept Analysis
Vinod Ganapathy
University of Wisconsin
vg@
David King Trent Jaeger
Pennsylvania State University
{dhking,tjaeger}@
Somesh Jha
University of Wisconsin
jha@
Abstract
This paper presents an approach to statically retrofit legacy servers with mechanisms for authorization pol-
icy enforcement. The approach is based upon the observation that security-sensitive operations performed by
a server are characterized by idiomatic resource manipulations, called fingerprints. Candidate fingerprints are
automatically mined by clustering resource manipulations using concept analysis. These fingerprints are then
used to identify security-sensitive operations performed by the server. Case studies with three real-world servers
show that the approach can be used to identify security-sensitive operations with a few hours of manual effort and
modest domain knowledge.
1 Introduction
Software systems must protect shared resources that they manage from unauthorized access. This is achieved
by formulating and enforcing an appropriate authorization policy (also called access control policy). The policy
specifies the set of security-sensitive operations that a user can perform on a resource. For example, a popular
policy on UNIX-like systems allows only the root to perform the security-sensitive operations Read and Write on
the /etc/passwd file (the resource). Operating systems have historically had mechanisms such as reference mon-
itors [4] to enforce authorization policies. It is also important for user-space servers, such as middleware, web-,
proxy and window-management servers, to implement such mechanisms because they manage shared resources on
behalf of their clients. Unfortunately, economic and practical considerations force developers to choose function-
ality and performance over sec
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