QoS Based Hybrid Swarm Intelligent Intrusion Detection System for Network Security

The proliferation of Internet usage and the wide range of military applications have prompted scholars to consider the development of intelligent systems that can aid users and applications in obtaining services by providing the necessary quality of service in networks. Certain intelligent techniques are suitable for ensuring security in communication within distributed environments, including but not limited to mobile technology, e-commerce, communication, and managing networks. Multicast routing techniques can assist modern applications utilizing highly efficient data networks in fulfilling QoS requirements. The objective of this methodology is to reduce the network burden during a multicast session. To achieve this objective, it is crucial to minimize the overall expense of the multicast tree or the expenses associated with the links that constitute the multicast tree. We describe a unique approach that leverages Artificial Bee Colony (ABC) operators in conjunction with the Genetic Algorithm (GA) in order to alleviate the restrictions that are caused by the techniques that are currently in use. In addition to this, identification is used across a variety of communication nodes in order to determine the presence of people within the premises. As a consequence of this, security precautions have been taken.