Security and privacy in the internet of things: computational intelligent techniques-based approaches

The Internet of Things (IoT) is a network of universally interconnected devices via the Internet. The IoT requires the interconnection between billions or trillions of intelligent objects. IoT devices (nodes) are capable of capturing, preserving, analyzing, and sharing data about themselves and their physical world. Security and privacy are the major challenges in the implementation of IoT technology. Major privacy aspects in the IoT are stealing data, monitoring, and tracking, etc. Authentication, integrity, and confidentiality are major concerns for privacy and security preservation in the IoT. Computational intelligence (CI) focuses on the design and development of intelligent algorithms to solve real-time problems with minimum cost. The main goal of CI is to supplement natural and artificial intelligence to produce human-required competitive results. Computational intelligent mechanisms for providing privacy and security in the IoT include quantum cryptography, artificial intelligence, neural networks, natural computational techniques, bio-inspired computational techniques, fuzzy logic techniques, genetic algorithms, intelligent multiagents, etc.