Giovanni Vigna

Giovanni Vigna

Santa Barbara, California, United States
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Broadcom
UC Santa Barbara

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    Broadcom

    Santa Barbara, California, United States

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    Santa Barbara

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    United States

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    Santa Barbara, California Area

Education

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Publications

  • SigMal: A Static Signal Processing Based Malware Triage

    ACM ACSAC 2013

    In this work, we propose SigMal, a fast and precise malware detection framework based on signal processing techniques. SigMal is designed to operate with systems that process large amounts of binary samples. It has been observed that many samples received by such systems are variants of previously-seen malware, and they retain some similarity at the binary level. Previous systems used this notion of malware similarity to detect new variants of previously-seen malware. SigMal improves the…

    In this work, we propose SigMal, a fast and precise malware detection framework based on signal processing techniques. SigMal is designed to operate with systems that process large amounts of binary samples. It has been observed that many samples received by such systems are variants of previously-seen malware, and they retain some similarity at the binary level. Previous systems used this notion of malware similarity to detect new variants of previously-seen malware. SigMal improves the state-of-the-art by leveraging techniques borrowed from signal processing to extract noise-resistant similarity signatures from the samples. SigMal uses an efficient nearest-neighbor search technique, which is scalable to millions of samples. We evaluate SigMal on 1.2 million recent samples, both packed and unpacked, observed over a duration of three months. In addition, we also used a constant dataset of known benign executables. Our results show that SigMal can detect 50% of the recent incoming samples with above 99% precision. We also show that SigMal could have detected, on average, 70 malware samples per day before any antivirus vendor detected them.

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  • Shady Paths: Leveraging Surfing Crowds to Detect Malicious Web Pages

    ACM Conference on Computer and Communication Security (CCS)

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  • Follow the Green: Growth and Dynamics in Twitter Follower Markets

    Internet Measurement Conference (IMC)

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