NDLI: An Energy Aware Trust Based Intrusion Detection System with Adaptive Acknowledgement for Wireless Sensor Network

Content Provider	Springer Nature Link
Author	Rajeshkumar, G. Valluvan, K. R.
Copyright Year	2016
Abstract	Today modern and innovative applications for health care environment based on Wireless Sensor Network (WSN) are being developed in the commercial sector. The emerging sensor networks are rapidly becoming a fundamental part of medical solutions due to increase in accessibility for healthcare professionals/patients and ultimately leading to reduced healthcare costs. Health watch is becoming popular, however securing data becomes critical as privacy issues are a major concern in wireless systems. Finding threats and blocking them without affecting the network is essential without increasing the processing overheads and energy. In this paper, a Trust Based Adaptive Acknowledgment (TRAACK) Intrusion-Detection System for WSN based on number of active successful deliveries, and Kalman filter to predict node trust is proposed. In TRAACK the entire route based trust strength for multi hop sensor networks is reverted to nodes acting as Security Agent. Based on trust value of entire route, Acknowledgement is initiated on select packets to decrease control overhead. It is observed that the packet delivery ratio for the proposed TRAACK method improves even when malicious nodes are present, the proposed technique TRAACK is able to detect malicious nodes and avoid them in the route discovery process. Simulations show improved performance in the presence of malicious nodes without compromise in energy.
Starting Page	1993
Ending Page	2007
Page Count	15
File Format	PDF
ISSN	09296212
Journal	Wireless Personal Communications
Volume Number	94
Issue Number	4
e-ISSN	1572834X
Language	English
Publisher	Springer US
Publisher Date	2016-05-04
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Wireless Sensor Network Cluster head selection Malicious nodes Intrusion-Detection System (IDS) Trust Kalman filter Communications Engineering, Networks Signal,Image and Speech Processing Computer Communication Networks
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Centralized IDS Based on Misuse Detection for Cluster-Based Wireless Sensors Networks

CAND-IDS: A Novel Context Aware Intrusion Detection System in Cooperative Wireless Sensor Networks by Nodal Node Deployment

LB-IDS: Securing Wireless Sensor Network Using Protocol Layer Trust-Based Intrusion Detection System

Enhanced Route Optimization for Wireless Networks Using Meta-Heuristic Engineering

An Energy Efficient Cluster Head Selection Technique Using Network Trust and Swarm Intelligence

Intrusion detection framework of cluster-based wireless sensor network

Intrusion detection framework of cluster-based wireless sensor network

A Preference-Based Protocol for Trust and Head Selection for Cluster-Based MANET

An algorithm to detect malicious nodes in wireless sensor network using enhanced LEACH protocol

An Energy Aware Trust Based Intrusion Detection System with Adaptive Acknowledgement for Wireless Sensor Network

Similar Documents

Centralized IDS Based on Misuse Detection for Cluster-Based Wireless Sensors Networks

CAND-IDS: A Novel Context Aware Intrusion Detection System in Cooperative Wireless Sensor Networks by Nodal Node Deployment

LB-IDS: Securing Wireless Sensor Network Using Protocol Layer Trust-Based Intrusion Detection System

Enhanced Route Optimization for Wireless Networks Using Meta-Heuristic Engineering

An Energy Efficient Cluster Head Selection Technique Using Network Trust and Swarm Intelligence

Intrusion detection framework of cluster-based wireless sensor network

Intrusion detection framework of cluster-based wireless sensor network

A Preference-Based Protocol for Trust and Head Selection for Cluster-Based MANET

An algorithm to detect malicious nodes in wireless sensor network using enhanced LEACH protocol

An Energy Aware Trust Based Intrusion Detection System with Adaptive Acknowledgement for Wireless Sensor Network