Internet of Things (IoT) Based Bio-inspired Artificial Intelligent Technique to Combat Cybercrimes: A Review

Abstract

Nature has made a huge impact on human’s diurnal lives in finding solutions for complex problems. Majority of the people are receiving benefits by the advanced technologies. Without the aid of computers, it is hard to imitate the problem solving techniques being implemented by nature. Bio-mimicry is one such study which enables the researchers in solving human problems by emulating and mimicking nature. This emerging technology fetches its sources from bio-inspired engineering at various levels. BIC, short for bio-inspired computing or biologically inspired computation, found to be a broad term, which comprises different fields like computer science, mathematics and biology. Mix and match of various biological and computational processes is the reliable means for researchers in this regard and this leads to the convergence of two fields: computer science and biology. In recent past, the bio-inspired optimization algorithms are highly convincing to bring out best expositions for intricate snags by joining hands with machine learning. Along with BIC, swarm intelligence (SI) is also equally gaining importance. Bio-inspiring algorithms like ant colony algorithm, bat algorithm, cuckoo search, fire-fly algorithms, and particle swarm optimization possess extensive applications in almost all fields of science and engineering. Swarm intelligence is the collective behavior of decentralized, self-organized systems, though they are natural or artificial and it is based on meta-heuristic approach which generally pulls out an approximate optimal solution independent of the problems in less time. Nowadays, the information technology advancements induce felons to commit copious cybercrimes using cyberspace. More sophisticated cyber-defense systems are to be devised essentially, since (1) cyber-infrastructures are extremely open and prone to infringements and other intimidations and (2) human intervention and physical devices are not adequate to monitor and fortify the cyber-infrastructures. The ability to detect a wide variety of threats and adaptability to make quick real-time decisions, flexibility and robustness are the major expected qualities for these systems. Abundant BIC approaches incorporated with artificial intelligence (AI) using IOT plays a vital role in cybercrime detection and prevention. Let us have a cattle graze of few techniques of AI associated with bio-inspired computing and its futuristic scope over human community to combat cybercrimes and this review would pave the alleyway for forthcoming studies to cherry-pick algorithms based on fitment.