ANTI-SPAM MODEL BASED ON AIS IN CLOUD COMPUTING ENVIRONMENTS

Jin Yang^{1, 2}, Lingxi Peng³, Tang Liu⁴

¹School of Information Science & Technology, Southwest Jiaotong University, Chengdu 610031, China

²Department of Computer Science, LeShan Normal University, LeShan 614000, China

³Department of Computer and Education software/Guangzhou University, Guangzhou, China

⁴College of Fundamental Education/Sichuan Normal University, Chengdu, China

 Cloud computing is becoming a hot research topic. However, there is little attention to cloud computing environment work for anti-spam issues. Spam has become a thorny issue facing with many countries. The overflow of spam not only great wastes the network resources, taking up the user's e-mail resources, reducing the network efficiency, affecting the normal use of the Internet, but also violates the user's individual rights. But the traditional spam solutions for anti-spam are mostly static methods, and the means of adaptive and real time analyses the mail are seldom considered. Inspired by the theory of artificial immune systems (AIS), this paper presents an anti-spam system in cloud computing environment. The concepts and formal definitions of immune cells are given, and the hierarchical and distributed management frameworks of the proposed model are built. The results of evaluation indicate that the proposed model has the features of real-time processing and is more efficient than client-server-based solutions, thus providing a promising solution for anti-spam system for heterogeneous cloud environments.