Malware Detection in Cloud Computing

This book advocates a new model for malware detection on end hosts based on providing antivirus as an in-cloud network service. This model enables identification of malicious and unwanted software by multiple detection engines Respectively,This approach provides several important benefits including better detection of malicious software, enhanced forensics capabilities and improved deployability. Malware detection in cloud computing includes a lightweight, cross-Storge host agent and a network service.It is Combines detection techniques, static signatures analyze and Dynamic analysis detection. Using this mechanism we find that cloud- malware detection provides 35% better detection coverage against recent threats compared to a single antivirus engine and a 98% detection rate across the cloud environment.

Autorentext

Autor: Safaa Salam Hatem. Data de nascimento: 11/8/1988. Nacionalidade: Iraquiana. Universidade de Mestrado: Universidade de Helwan, Cairo, Egipto. Especialização: MSC. Ciência da Computação/ Tecnologia da Informação, 2014. Universidade B.Sc: Universidade de Al-Qadisiyah, Al-Qadisiyah, Iraque. Especialização: BACHARELATO. Ciência da Computação, 2010.