A sinkhole resilient protocol for wireless sensor networks: Performance and security analysis

Fessant, Fabrice Le; Papadimitriou, Antonis; Viana, Aline Carneiro; Sengul, Cigdem; Palomar, Esther

doi:10.1016/j.comcom.2011.09.005

Cited by 27 publications

(16 citation statements)

References 41 publications

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“…When a sinkhole route reply message indicating that it has been found the destination with the lowest possible hop count. All nodes along the route back to the source of the route request will store the route towards the sinkhole in the routing table (Fessant et al, 2011). If the real destination is a larger number of hops away from the source than the sinkhole, the route to the sinkhole will be chosen.…”

Section: Methodsmentioning

confidence: 99%

A Leader Based Monitoring Approach for Sinkhole Attack in Wireless Sensor Network

Rajkumar

Rajamani²

2013

Journal of Computer Science

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Security is one of an important factor to be considered seriously in wireless sensor networks. In WSN, in many ways intrusion may occur, in the past decades there is no perfect IDS, without any wasting of resources like time, energy, cost and number of physical items. The main objective is to ensure the security and improve the quality of network by applying a Leader based intrusion detection system in the Wireless Sensor Network (WSN). Here, we are focusing on the attack known as sinkhole attack which is considered as the biggest threat in wireless sensor network which spoils the complete communication and a data loss between a pair of nodes as source node and a destination node. In order to provide a complete solution to detect and avoid sinkhole attack a Leader Based Intrusion Detection System (LBIDS) is proposed. In this approach a leader is elected for each group nodes within the network, region wise and it do compares and calculates the behavior of every node, logically executes our detection module and monitors each node behaviour within the cluster for any sinkhole attack to occur. When a node gets detected as a compromised node, it informs that nodes status to the other leader within the WSN, so all the leaders in the network knows about the sink hole node information and the leaders stop communication with sinkhole Node.

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Section: Methodsmentioning

confidence: 99%

A Leader Based Monitoring Approach for Sinkhole Attack in Wireless Sensor Network

Rajkumar

Rajamani²

2013

Journal of Computer Science

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“…Fessant et al [20] proposed new two cryptographic protocols to increase the detection rate of sinkhole attack. These protocols prevent and detects malicious node from source to destination.…”

Section: Literature Reviewmentioning

confidence: 99%

Ucon-Ipso: Usage Control with Improved Particle Swarm Optimization (Ipso) Based Hierarchical Security Framework for Attack Detection in Wireless Sensor Networks

Thangamani¹

2017

ijetst

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ABSTRACT:In smart cities, Wireless Sensor Networks (WSNs) perform as a category of core transportation with the purpose of gathers information from the city in the direction of implement smart services. The security of WSNs is single of the key challenges of smart cities. Because WSNs are frequently organized in potentially difficult or still aggressive environment, an attacker is able to create each and every one type of threats and attacks. Many of the presented WSN security parts shouldn't consists of inconsistent attributes; consequently, conventional security parts shouldn't protect against ongoing attacks through dynamically changing attributes. To increase the security of WSNs, Usage Control with Improved Particle Swarm Optimization (IPSO) (UCON-IPSO) based security framework is proposed in this work which integrates attack detection and access control. Furthermore, different conventional prevention methods in WSNs, the proposed UCON-IPSO based framework make use of UCON with continuous decision making and dynamic attributes. These two attributes are useful in defending against ongoing threats. New UCON-IPSO security framework is proposed in the direction of protect Distributed Denial of Service (DDoS) and Sophisticated Attacks. The proposed UCON-IPSO based framework use a self-motivated adaptive likelihood discovery device and it also varied from conventional detection methods, which are able to revise dynamically toward protect against unknown attacks and DDoS attack. Lastly, Software-Defined Networking (SDN) and Network Function Virtualization (NFV) are used in the direction of execute attack mitigations when moreover low-level or high-level attacks are detected in this work. An experiment was performed in the direction of obtain an attack detection results for evaluation. The simulation results demonstrate the possibility and effectiveness of the proposed UCON-IPSO hierarchical security framework scheme with higher attack detection rate.

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“…In this section, the OPNET modeler simulator is used to evaluate the performance of our proposed trust based design against sinkhole attacks .we evaluate the presented approach effectiveness against sinkhole attack and selective forwarding , and the gain resilience to packet dropping by the malicious nodes in our adaptive trust protocol have compared to resist-0 protocol in [3]. We consider an event driven network model which each sensor periodically sends data to sink or data is sent to sink base on the sink request.…”

Section: Performance Evaluationmentioning

confidence: 99%

“…Compromised nodes in selective forwarding attack are modeled as nodes that drop messages with probability p messages instead of forwarding them. When the probability p=1 we are facing sinkhole nodes [3]. In order to protect WSNs against malicious and selfish behavior, different secure routing protocols have been Manuscript received April 3, 2014; revised June 13, 2014.…”

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confidence: 99%

A Trust Based Routing Protocol for Mitigation of Sinkhole Attacks in Wireless Sensor Networks

Naderi¹,

Shahedi²,

Mazinani³

2015

IJIET

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520 Abstract-As wireless sensor networks are characterized by severely constrained node resources, low communication range, low memory capacity and dynamic nature of WSNs, implementing security functionality and detection protocols to protect against adversary nodes becomes a challenging task. It is very likely that the encryption keys in the sensor nodes are accessed by attacker entities. The compromised nodes can launch sinkhole or wormhole attack to prevent the arrival of important information to the base station (BS). Establishing trust among distributed network entities has been recognized as a powerful tool to secure distributed networks such as MANETs and sensor networks. In this paper we first estimate the area in the network where a sinkhole attack has occurred there by considering the energy consumption model in the network. Then we present an entropy-based trust model in which more factors that affect trust computation are introduced. We apply a trust-based routing for providing a high level of security by path selection based on packet trust requirement. So it is needed that a routing protocol classifies the traffic packets according to their requested security and then routs the packets related to each class through the path that fulfills the security requirements of them. Our proposed approach that purposes to cover the mentioned problem is a resource efficient security protocol. This means that a trust value is allocated to the area suspected of sinkhole; the area is located by analyzing the energy of networks nodes and the packet is forwarded through low risk paths.Index Terms-Wireless sensor networks, sinkhole attack, trust model, secure routing. I. INTRODUCTIONIn sinkhole attack the compromised node attracts the traffic of its neighbors by pretending that it has the shortest path to the base-station.and drops them. So it prevents the BS to receive sensed information completely and correctly. The sinkhole may launch a variety of attacks against the data traffic. If the sinkhole node drops the packets selectively we are facing a selective forwarding attack. Also it may modify some packets content and forwards them which is the most malicious type of sinkhole [1], [2]. Compromised nodes in selective forwarding attack are modeled as nodes that drop messages with probability p messages instead of forwarding them. When the probability p=1 we are facing sinkhole nodes [3]. In order to protect WSNs against malicious and selfish behavior, different secure routing protocols have been Manuscript received April 3, 2014; revised June 13, 2014. Omid Naderi and Mehdi Shahedi are with the Department of Computer, Science and Research Branch, Islamic Azad University, South Khorasan, Birjand, MhdShahedi@Gmail.com).Sayyed majid Mazinani is with the Electrical Engineering Department, Imam Reza International University, Mashhad, Iran (e-mail: smajid_mizinani@yahoo.com).developed which mainly rely on cryptographic Basics and authentication mechanisms which are not suitable for WSNs. It is difficult to prevent pack...

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A sinkhole resilient protocol for wireless sensor networks: Performance and security analysis

Cited by 27 publications

References 41 publications

A Leader Based Monitoring Approach for Sinkhole Attack in Wireless Sensor Network

A Leader Based Monitoring Approach for Sinkhole Attack in Wireless Sensor Network

Ucon-Ipso: Usage Control with Improved Particle Swarm Optimization (Ipso) Based Hierarchical Security Framework for Attack Detection in Wireless Sensor Networks

A Trust Based Routing Protocol for Mitigation of Sinkhole Attacks in Wireless Sensor Networks

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