Artificial Immune Mechanism (AIM) based on Intelligent Analytics

Abstract : This work presents artificial immune system mechanism (AIM). It is a new approach of algorithmic mechanism design. The basic building block of the mechanism is an analytics having multidimensional view of intelligent reasoning. The mechanism evaluates innate and adaptive system immunity in terms of collective, machine, security, collaborative and business intelligence. The work also shows the complexity analysis of AIM and experimental results on two test cases: (a) intrusion detection for IT security and (b) health security. AIM can assess the immunity of an information system against intrusion in the form of sybil, cloning, wormhole or node capture of a distributed network efficiently as compared to the traditional approaches. It is possible to redefine an efficient global healthcare policy for improved immunity and sustainable physical, mental and social health through reduction of artificial physical and mental stress. A biological system ensures optimal level of immunity by balancing natural and artificial intelligence (AI) based on intelligent reasoning. A human agent must have common sense healthcare knowledge base for proper biological system control through intelligent self-assessment, self-confidence, life-style, diet control and right decision making at right time. It demands the necessity of learning the basic concept of AI reasoning, immunology and common sense healthcare from the childhood through an effective education and knowledge management system. It is not bio-inspired AI but the envision of AI inspired biological system which has a great potential to resolve the global healthcare problems significantly. AI has imagined the product concepts of highly complicated and costly artificial human organs such as artificial brain, heart, lungs, kidney, liver, pancreas, intestine, limbs, neural system, blood and cells though there are technological limitations and financial constraints of biomedical electronics, instrumentation, mechatronics, robotics, computational intelligence and materials science and also critical immunity issues. It is hard to develop and simulate artificial organs due to the inherent complexities of structure, material and mechanisms of the biological system. There are various risks of adaptive immunity and transmission of deadly diseases in artificial organ transplantation, artificial reproduction, common immunization programmes and breast milk feeding to the infants. Relaxation music is expected to be a good solution for the treatment of mental health though the modern entertainment world is getting flooded with ‘boom boom digital dhamaka’ and panic buttons through digital media and horror movies. AIM may be able to overcome some of those practically feasible constraints of the aforesaid imaginative reasoning through intelligent analytics and reasoning. AI community needs a new broad outlook, imagination and dreams to solve a complex problem through a set of simple mechanisms and solutions. Life is beautiful, let us apply AI for rational social choice to save the world. Keywords: Artificial immune mechanism, Threat analytics, AI reasoning, Collective intelligence, Collaborative intelligence, Security Intelligence, Machine intelligence, Business intelligence, Intrusion detection, Health security, Puzzles.