A Cloud-based Malware Detection Framework

International Journal of Interactive Mobile Technologies

Eman Ahmed¹  Ayman M. Bahaa-Eldin¹  Mohamed A. Sobh¹  Amin A. Sorrour² 

[1] Ain Shams University;Misr University for Science and Technology

关键词: Cloud computing;    Security issues;    Malware;    Static Binary Search;    BMH;    Hadoop;   

DOI  :  

学科分类：电子、光学、磁材料

来源: International Association of Online Engineering

【 摘 要 】

Malwares are increasing rapidly. The nature of distribution and effects of malwares attacking several applications requires a real-time response. Therefore, a high performance detection platform is required. In this paper, Hadoop is utilized to perform static binary search and detection for malwares and viruses in portable executable files deployed mainly on the cloud. The paper presents an approach used to map the portable executable files to Hadoop compatible files. The Boyer–Moore-Horspool Search algorithm is modified to benefit from the distribution of Hadoop. The performance of the proposed model is evaluated using a standard virus database and the system is found to outperform similar platforms.

【 授权许可】

Unknown