Malware distributed collection and pre-classification system using honeypot technology

André R. A. Grégio; Isabela L. Oliveira; Rafael D. C. Santos; Adriano M. Cansian; Paulo L. de Geus

doi:10.1117/12.818310

13 April 2009 Malware distributed collection and pre-classification system using honeypot technology

André R. A. Grégio, Isabela L. Oliveira, Rafael D. C. Santos, Adriano M. Cansian, Paulo L. de Geus

Proceedings Volume 7344, Data Mining, Intrusion Detection, Information Security and Assurance, and Data Networks Security 2009; 73440B (2009) https://doi.org/10.1117/12.818310
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

Abstract

Malware has become a major threat in the last years due to the ease of spread through the Internet. Malware detection has become difficult with the use of compression, polymorphic methods and techniques to detect and disable security software. Those and other obfuscation techniques pose a problem for detection and classification schemes that analyze malware behavior. In this paper we propose a distributed architecture to improve malware collection using different honeypot technologies to increase the variety of malware collected. We also present a daemon tool developed to grab malware distributed through spam and a pre-classification technique that uses antivirus technology to separate malware in generic classes.

Citation Download Citation

André R. A. Grégio, Isabela L. Oliveira, Rafael D. C. Santos, Adriano M. Cansian, and Paulo L. de Geus "Malware distributed collection and pre-classification system using honeypot technology", Proc. SPIE 7344, Data Mining, Intrusion Detection, Information Security and Assurance, and Data Networks Security 2009, 73440B (13 April 2009); https://doi.org/10.1117/12.818310

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