Detection of Malicious Activities within the Network Nodes in MANET using IDS Approach: A Review

Arti , Rekha

IDS systems, abnormal detection system, WSN

Many IDS systems use one of two detection methods, the misused detection or the detection of irregularities, each with their own restricted use in the current scenario. Technology has developed technologies which is known as Hybrid intrusion detection. The objective is to increase the detection rate and reduce the false positive rate by using abuse detection and irregular detection, which incorporates the abuse detection system with the abnormal detection system (ADS) and the host intruder intrusion detection system. There is a study of the prototype IDS. It discusses many main aspects of hybrid recognition and has also discussed some of the major research in hybrid IDS. This model shows a comparative study of the performance criteria in various studies. We effectively use Snort to detect malicious attacks for NIDS and Kfsensor for HIDS. Then we use Snort to fix threat issues in network-based and host-based IDS in hybrid. Cybercrime has also grown with the rapid growth in network technology. The intruders are currently concerned about a variety of risks and threats to vulnerable, defenseless infrastructure such as databases, web servers and whole networks. Using the Intrusion Detection System you will detect unauthorized access to files, networks and any serious security danger.

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"Detection of Malicious Activities within the Network Nodes in MANET using IDS Approach: A Review", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 4, page no.424 - 428, April-2020, Available :https://ijsdr.org/papers/IJSDR2004076.pdf

Volume 5 Issue 4, April-2020

Pages : 424 - 428

Paper Reg. ID: IJSDR_192348

Published Paper Id: IJSDR2004076

Downloads: 000347196

Research Area: Engineering

Country: -, -, -

Published Paper PDF: https://ijsdr.org/papers/IJSDR2004076

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2004076

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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