A scheme for preventing denial of service attacks on wireless sensor networks

Gill, Khusvinder; Yang, Shuang–Hua

doi:10.1109/iecon.2009.5415233

Cited by 19 publications

(10 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The proposed scheme tries to optimize the local information (information collected by watch dogs) into global information (decision taken by cluster head) in order to compensate the communication pattern in network. This paper [9] reviews the design and implementation of a novel defense strategy designed to work alongside existing DoS counter measures. The previous approaches were generic and were not capable of filtering out all attack traffic, instead a small amount of attack traffic reached the attackers intended victim.…”

Section: Literature Reviewmentioning

confidence: 99%

TBESP algorithm for Wireless Sensor Network under Blackhole attack

Wazid

Katal

Goudar

2013

2013 International Conference on Communication and Signal Processing

View full text Add to dashboard Cite

Wireless Sensor Network consists of large number of sensor nodes with limited battery power, which are randomly deployed over certain area for several applications. Wireless Sensor Network (WSN) has a great potential to be deployed in wide range of applications like consumer, industrial and defense sectors. WSNs are susceptible to various attacks, in which Blackhole a kind of Denial of Service (DoS) attack is very difficult to detect and defend. In blackhole attack, an adversary captures and re-programs a set of nodes in the network to block the packets they receive instead of forwarding them towards the base station. As a result any information that enters the blackhole region is captured and doesn't reach the destination. Due to this attack, high end-to-end delay is introduced in the network and performance of the network (i.e. throughput) is degraded. In this paper a comparative performance analysis of two WSN's topologies i.e. Tree and Mesh under blackhole attack is done. If there is a WSN prone to blackhole attack and requires time efficient network service for information exchange then Tree topology is to be chosen. If it requires throughput efficient and consistent service in the network then Mesh topology isrecommended. An algorithm named as Topology Based Efficient Service Prediction (TBESP) algorithm has been proposed depending upon the analysis done which will help in choosing the best suited topology as per the network service requirement under blackhole attack.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

TBESP algorithm for Wireless Sensor Network under Blackhole attack

Wazid

Katal

Goudar

2013

2013 International Conference on Communication and Signal Processing

View full text Add to dashboard Cite

show abstract

“…Denial of service attack [15][16][17] can also cause paralysis of the vital nodes to form network segmentation.…”

Section: Related Workmentioning

confidence: 99%

Defense on Split-Network Attack in Wireless Sensor Network

Du¹,

Jianshun²,

Ma³

2012

IJWMT

View full text Add to dashboard Cite

Wireless Sensor Network is an open self-organized network, which faces serious challenge. Whole network can be split up into many separate subnets which cannot communicate with each other because some vital sensor nodes are attacked. A defense scheme which based on frequency hopping and fast network integration was proposed to react against split-network attack. Frequency hopping makes the communication frequency of the network escape from attack frequency while fast network integration makes the separate subnets reintegrate into a whole network in new communication frequency. Simulation results show the proposed scheme significantly reduces the success rate of attack and increases the lifetime of network.

show abstract

“…These sensors are used in monitoring environmental conditions like humidity, temperature, movement, traffic monitoring, noise, military applications, and agriculture farm management. Since these sensors are battery‐operated devices, they are vulnerable to Denial of Service (DoS), which is caused by malicious attacks such as vampire attack, black hole attack, directional attack, and selective forwarding attack. The prevention techniques of these attacks are studied in Gunasekaran and Periakaruppan and Osanaiye et al Vampire attacks are not protocoled specific, hence difficult to detect.…”

Section: Introductionmentioning

confidence: 99%

Trust‐based secure routing and the prevention of vampire attack in wireless ad hoc sensor network

Sajan

J²

2020

Int J Communication

View full text Add to dashboard Cite

Summary The recent development in technologies is the driving force for development in sensors, especially in military applications. Due to the openness nature of the ad hoc sensor network, the system gets easily affected, which may lead to some packet drop, transmission delay, high network overhead, and more energy consumption. In this paper, the security during data transmission is provided to the network by using the proposed Secure Atom Search Routing (SASR) algorithm, which is adopted from the behavior of molecular dynamics. For global optimization problems, this algorithm provides an effective solution based on the constraint and interaction force of atoms. Moreover, the performance of SASR is improved by providing a proper balance between exploitation and exploration. Since the knowledge base processes all the data, the computational complexity is reduced and the lifetime of the network is increased. The simulation and performance are carried out for the proposed Knowledge and Intrusion Detection based Secure Atom Search Routing (KID‐SASR) protocol and is compared with the existing methods based on the metrics trust, delay, throughput, energy, packet delivery ratio, network lifetime, trust detection rate, and communication cost. The results obtained show improvement in the overall performance of the system.

show abstract

A scheme for preventing denial of service attacks on wireless sensor networks

Cited by 19 publications

References 7 publications

TBESP algorithm for Wireless Sensor Network under Blackhole attack

TBESP algorithm for Wireless Sensor Network under Blackhole attack

Defense on Split-Network Attack in Wireless Sensor Network

Trust‐based secure routing and the prevention of vampire attack in wireless ad hoc sensor network

Contact Info

Product

Resources

About