JOURNAL OF COMPUTERS, VOL. 8, NO. 12, DECEMBER 2013 3111 Artificial Immunity-based Security Response Model for the Internet of Things Caiming Liu School of Information Science & Technology, Southwest Jiaotong University, Chengdu, China School of Computer Science, Leshan Normal University, Leshan, China Email:
[email protected] Yan Zhang*, Zongyin Cai School of Computer Science, Leshan Normal University, Leshan, China Email:
[email protected] Jin Yang School of Computer Science, Leshan Normal University, Leshan, China School of Information Science & Technology, Southwest Jiaotong University, Chengdu, China Email:
[email protected] Lingxi Peng Department of Computer and Education Software, Guangzhou University, Guangzhou, China Email:
[email protected] Abstract—Rapid expansion of the Internet of Things (IoT) open surrounding [3] and not availably defended. Hostile caused more and more security problems and attacks in intruders can relatively easily attack IoT systems through particular. Secure IoT needs reasonable disposition after or accessing sense nodes. Massive data coming from or when being attacked. To meet the above requirements of going to the sense layer of IoT may suffer losses. The IoT security, a security response model for IoT based on security situation is not optimistic. artificial immune system is proposed in this paper. IoT data packets are captured and transformed into immune The security problems of IoT have attracted high antigens which are defined in the real IoT security attention of researchers. The current research is mainly environment. Recognizer is defined and simulative to focused on privacy protection [4, 5], security model [6, 7], recognize harmful antigens. The immune mechanisms of and etc. However, these security theories and antigen match, dynamic evolution of recognizer and self technologies were restricted to static defense concept.