An Intelligent Method for Intrusion Detection and Prevention in Mobile AdHoc Networks
Keywords:
Encryption, Firewalls, Mobile AdHoc Network, Internet of Things, Intrusion Detection SystemAbstract
A Mobile ad hoc network (MANET) is a set of wireless multi-hop network which can broadcast data over an intermediate node; these networks have been universally used and become an essential since the expansion of the Internet of Things (IoT). However, the communications on MANET are sensitive, it mostly affected by several internal or external attackers, and the research on security issues of MANET is becoming most needed recently. Malicious nodes such as Black hole attack are one of the most prominent attacks in MANET. The conventional technique for firewalls and encryption is not sufficient for securing the system. Hence an intrusion detection system must be implemented in the mobile ad hoc network. One of the various types of misbehavior a node may exhibit is selfishness. Indiscipline or selfish node wishes to preserve their resources when using the services of others and utilizing their resources. Malicious nodes that violate regulations and decrease the performance of well-behaved nodes automatically. One method for protecting selfishness in a MANET is a find and isolates method. This paper, describes a different method for detecting malicious nodes in mobile ad hoc networks with the design of Intrusion Detection and prevention schemes for improving the security of MANET. This paper proposes a dynamic algorithm for identifying malicious presence in a MANET environment and conduct experiments to check algorithm efficiency with other algorithms.
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