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Award Abstract #1314632

TWC: Medium: Collaborative: Know Thy Enemy: Data Mining Meets Networks for Understanding Web-Based Malware Dissemination

NSF Org: CNS
Division Of Computer and Network Systems
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Initial Amendment Date: August 19, 2013
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Latest Amendment Date: August 19, 2013
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Award Number: 1314632
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Award Instrument: Standard Grant
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Program Manager: Ralph Wachter
CNS Division Of Computer and Network Systems
CSE Direct For Computer & Info Scie & Enginr
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Start Date: September 1, 2013
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End Date: August 31, 2017 (Estimated)
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Awarded Amount to Date: $333,333.00
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Investigator(s): Christos Faloutsos christos@cs.cmu.edu (Principal Investigator)
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Sponsor: Carnegie-Mellon University
5000 Forbes Avenue
PITTSBURGH, PA 15213-3815 (412)268-9527
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NSF Program(s): SPECIAL PROJECTS - CISE
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Program Reference Code(s): 7924
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Program Element Code(s): 1714

ABSTRACT

How does web-based malware spread? We use the term web-based malware to describe malware that is distributed through websites, and malicious posts in social networks. We are in an arms race against web-based malware distributors; and as in any war, knowledge is power. The more we know about them, the better we can defend ourselves. Our goal is to understand the dissemination of web-based malware by creating "MalScope", a suite of methods and tools that uses cutting-edge approaches to build spatiotemporal models, generators and sampling techniques for malware dissemination. From a scientific point of view, this project brings together two disciplines: Data Mining and Network Security. The outcome is a suite of novel, sophisticated, and scalable techniques and models that will enhance our understanding of malware dissemination at a large scale. We use two types of web-based malware dissemination data: (1) user machines accessing dangerous sites and downloading web-based malware; and (2) Facebook users being exposed to malicious posts. We already have and will continue to obtain more data from our industry partners (e.g. Symantec's WINE project), open-access projects, or collect on our own (e.g MyPageKeeper).

The broader impact of our work is that it will enable the development of security solutions for end-users and industry. A 15-minute network outage costs a 200-employee company about $40K, while identity theft costs about $1,500 per person on average. By knowing the enemy better, security researchers and industry can more effectively stop the interconnected manifestations of Internet threats: identity theft, the creation of botnets, and DoS attacks. The PIs have a track record of technology transfer, with collaborators at industrial labs (Yahoo, MSR, Symantec, AT&T, IBM), national labs (LLNL, Sandia), open-source software (``Pegasus''), and spin-off startups (StopTheHacker). Educational impacts include developing a new course, providing publicly available educational material, and open-source software.

 

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