Computational Intelligent Applications in Cyber Security

Cyber security applications had to be updated regularly to keep up with the fast-expanding needs. Increase cyber security to combat cybercrime, primarily as more people use networks or programs for online banking and personal e-mails due to Smartphone adoption. Data transmission is more important in the cyber world, and there is more vulnerability, secure passive eavesdropping for data interception, and active jamming. Authenticity, availability, secrecy, and integrity are all essential in the cyber world. To meet the requirements, we must build a cyber-security system that is both safe and simple to use.Furthermore, cyber risks and computer crimes have increased in recent decades due to the rapid expansion of current and emerging information technologies such as social media, artificial intelligence, big data, the Internet of Things (IoT), and smart cities. Organizations have postponed the adoption of big data and the cloud as a result of actual and suspected cyber threats linked to such advancements. Secure communication is available to protect against cyber risks. However, it is still a hot issue of research because there is no clear understanding of how to quantify cyber risk and thus price it. The value of cyber security is increasing for businesses. In order to deal with cybercrimes and threats, cyber security needs to be able to identify and evaluate different types of cybercrimes and threats.In dynamic situations, computational intelligence techniques have proven to be adaptable in decision-making. Evolutionary Computation, Fuzzy Logic, Cellular Automata, Intelligent Agent Systems, Artificial Immune Systems, Neural Networks, and other computational models are common examples. These techniques were used to do decision support modules that were both efficient and reliable. They were used to make cross-linking solutions for various cyber security applications. Information security and privacy have become increasingly vital as complicated distribution and Internet computing have grown. We need cyber defense systems that are flexible, adaptable, and robust enough to make intelligent decisions in near real-time when detecting a wide range of threats and attacks, including active and passive attacks, external attacks and internal misuses, known and unknown attacks, viruses and spam, and so on, in order to protect large cyber infrastructure. In information security and assurance, computational intelligence approaches could be an excellent way to improve cyber security.