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Securing Enterprises with Social Network Analysis
Computer administrators defend enterprises using tools that do not scale to the size of modem
networks. As a result, malicious behavior in enterprise networks generally is W1detected, even when
attackers do not attempt to be stealthy. One way to improve this situation may be through the
application of social network analysis to the computer sectrrity problems of the enterprise. In this
project we propose to apply social networking research to two security problems: the control of
proprietary information and the analysis of log files. In the first project, we will study how to protect
proprietary information by limiting it to “communities of collaboration.” In the second, we will
examine whether interaetions between users, computers, applications, as recorded in log files, can be
modeled as social interactions where W1usual interactions correlate with security violations. This work
provide insights that will help improve CA’s data leak prevention and log analysis products.
Faculty Supervisor:
Anil Somayaji
Student:
Partner:
CA Inc
Discipline:
Computer science
Sector:
Information and cultural industries
University:
Carleton University
Program:
Accelerate
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