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Graph mining for cyber security

Abstract

How does malware propagate? How do software patches propagate? Given a set of malware samples, how to identify all malware variants that exist in a database? Which human behaviors may lead to increased malware attacks? These are challenging problems in their own respect, especially as they depend on having access to extensive, field-gathered data that highlight the current trends. These datasets are increasingly easier to collect, are large in size, and also high in complexity. Hence data mining can play an important role in cyber-security by answering these questions in an empirical data-driven manner. In this chapter, we discuss how related problems in cyber-security can be tackled via techniques from graph mining (specifically mining network propagation) on large field datasets collected on millions of hosts.

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