Anomaly Detection System in a Cluster Based MANET

被引：4

作者：

Narayandas, Vikram ^{[1
]}

Tiruvayipati, Sujanavan ^{[1
]}

Hanmandlu, Madusu ^{[1
]}

Thimmareddy, Lakshmi ^{[1
]}

机构：

[1] MVSR Engn Coll, Dept Comp Sci & Engn, Hyderabad, Telangana, India

来源：

COMPUTER COMMUNICATION, NETWORKING AND INTERNET SECURITY | 2017年 / 5卷

关键词：

Manet; ADS; Cluster head; AODV; Energy discharge; NETWORKS;

D O I：

10.1007/978-981-10-3226-4_2

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This chapter presents the development of anomaly detection system (ADS) for locating a malicious node in a cluster based Manet. ADS makes use of AODV protocol that performs route discovery and data forwarding. Each node responds to root request (RREQ) messages and sends root reply (RREP) messages back to the source node. In a cluster based topology a threshold is applied to see if this root reply number is more than the threshold value. If so the node is malicious. Then each node sends an alert to the cluster head (CH) and its neighboring nodes. The proposed ADS avoids the routing to a malicious node thereby preventing high energy consumption of the associated nodes and safeguarding the data transfer in the Manet.

引用

页码：11 / 21

页数：11

共 50 条

[21] Agent Based Cross Layer Intrusion Detection System for MANET
Devi, V. Anjana
Bhuvaneswaran, R. S.
ADVANCES IN NETWORK SECURITY AND APPLICATIONS, 2011, 196 : 427 - +
[22] Fuzzy based inference system with ensemble classification based intrusion detection system in MANET
Arthi, A.
Beno, A.
Sharma, S.
Sangeetha, B.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2023, 45 (03) : 3567 - 3574
[23] Enhanced Trust-based Intrusion Detection System in MANET
Hassan, Kr Lutful
Mandal, J. K.
Mondal, S.
JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH, 2019, 78 (08): : 509 - 512
[24] Detection of Gray hole in MANET through Cluster Analysis
Khatawkar, S. D.
Trivedi, Nitin
2015 2ND INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT (INDIACOM), 2015, : 1752 - 1757
[25] An anomaly detection-based classification system
Hou, Haiyu
Dozier, Gerry
2006 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-6, 2006, : 2223 - 2230
[26] Intrusion Detection System based on Anomaly and Misuse
Zhou, YuPing
Zheng, LiPing
PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON MODELLING AND SIMULATION (ICMS2009), VOL 7, 2009, : 474 - 479
[27] Anomaly detection based on system call classification
Xu, Ming
Chen, Chun
Ying, Jing
Ruan Jian Xue Bao/Journal of Software, 2004, 15 (03): : 391 - 403
[28] Cluster Based Enhanced Sybil Attack Detection in MANET through Integration of RSSI and CRL
Kumar, R. Vintoh
Ramesh, P.
Rauf, H. Abdul
2014 INTERNATIONAL CONFERENCE ON RECENT TRENDS IN INFORMATION TECHNOLOGY (ICRTIT), 2014,
[29] Anomaly Detection with Changing Cluster Centers
Peng, Zhang
Liang, Zhou
ADVANCED DATA MINING AND APPLICATIONS, ADMA 2018, 2018, 11323 : 42 - 54
[30] Cluster analysis-based anomaly detection in building automation systems
Gunay, H. Burak
Shi, Zixiao
ENERGY AND BUILDINGS, 2020, 228 (228)

← 1 2 3 4 5 →