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Behavioral Detection of Scanning Worm in Cyber Defense

  • Mohammad M. Rasheed
  • Munadil K. FaaeqEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 881)

Abstract

Conficker worm spread in November 2008, it was targeting Microsoft Windows operating system that has once infected 15 million hosts. The worm system defense must be automatically detection. Before we defend against worm, we must get the worm strategy by analysis of worm behavior. So therefore, we propose Behavioral Scanning Worm Detection (BSWD) for detecting Internet worm behavior that uses TCP and UDP scanning attack. We selected four different worms for validation of worm behavioral detection. The BSWD corrected results detected the MSBlaster worm behavior more than 99%, the behavior of Sesser, Dabber, Protoride behavior more than 97% of correction. Our algorithm result recognizes the worms’ behavior in one minute.

Keywords

Worm detection Malware Cyber defense Network security 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Scientific Information and Technology Transfer Center, Ministry of Science & TechnologyBaghdadIraq
  2. 2.School of Business Management, College of BusinessUniversity Utara MalaysiaChanglunMalaysia

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