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Multicast on‐route cluster propagation using to identify the network intrusion detection system in mobile ad hoc network
Author(s) -
Gracy Theresa W.,
Prakash M.,
Betina Antony J.
Publication year - 2021
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.4850
Subject(s) - computer science , intrusion detection system , computer network , host (biology) , multicast , mobile ad hoc network , wireless ad hoc network , network security , anomaly detection , host based intrusion detection system , distributed computing , computer security , data mining , intrusion prevention system , operating system , network packet , ecology , wireless , biology
Summary Intrusion detection, become a new paradigm in mobile ad hoc network which provide a sense of security to the existing computer and data network, is a retro‐fit approach. The goal of intrusion detection, unauthorized use, misuse, and by insiders and both external penetrator system is to identify the abuse of computer systems. The increase of the connection of the computer system will provide greater access to outsiders; for the intruder, the identification of avoidance becomes a challenge. We propose a multicast on‐route cluster propagation (MORCP) based network intrusion detection system to improve the security based on route analysis. The number of IDS of the prototype has been developed in a number of transmissions on miss‐behavioral transmission. Some of them also have been experimentally deployed in a production system. In addition, segregate path identification algorithm (SPIA) of host‐based and network‐based IDS is investigated, and the characteristics of the corresponding system are identified. In host‐based systems, most of the network‐based IDS, to construct a detection mechanism on the network traffic monitored, as well, while some adoption host audit trail, in order to detect the intrusion activity, input as the main source of information, to adopt an audit trail of the hot operating system. The overview of typical use statistical anomaly detection algorithm in IDS is also included.