Immunity inspired Cooperative Agent based Security System

Artificial Immune System (AIS) has evolved substantially from its inception and is utilized to solve complex problems in different domains out of which computer security is one of them. Computer Security has emerged as a key research area because of the ever-growing attacks and its methodology. Various security concepts and products were developed to overcome this alarming situation but these systems by some means fall short to provide the desired protection against new and ever-increasing threats. AIS enthused from Human Immune System (HIS) is considered as an excellent source of inspiration to develop computer security solution since the previous protect the body from various external and internal threats very effectively. This paper presents Immunity Inspired Cooperative Agent based Security System (IICASS) that uses Enhanced Negative Selection Algorithm (E-RNS) which incorporate fine tuning of detectors and detector power in negative selection algorithm. These features make IICASS evolve and facilitate better and correct coverage of self or non-self. Collaboration and communication between different agents make the system dynamic and adaptive that helps it to discover correct anomalies with degree of severity. Experimental results demonstrate that IICASS show remarkable resilience in detecting novel unseen attacks with lower false positive.