Energy and memory efficient clone detection in wireless sensor networks

Zheng, Zhongming; Liu, Anfeng; Cai, Lin X.; Chen, Zhigang; Shen, Xuemin

doi:10.1109/tmc.2015.2449847

Cited by 46 publications

(38 citation statements)

References 23 publications

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“…The data routing refers to the process of nodal data routing to the sink. The routing protocol is similar to common routing protocols in WSNs [3,7,8]; the difference is that the route will select a node with high trust for the next hop to avoid black holes and thus improve the success ratio of reaching the sink.…”

Section: A Overview Of the Proposed Schemementioning

confidence: 99%

ActiveTrust: Secure and Trustable Routing in Wireless Sensor Networks

Liu

Dong

Ota

2016

IEEE Trans.Inform.Forensic Secur.

Self Cite

311

169

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Wireless sensor networks (WSNs) are increasingly being deployed in security-critical applications. Because of their inherent resource-constrained characteristics, they are prone to various security attacks, and a black hole attack is a type of attack that seriously affects data collection. To conquer that challenge, an active detection-based security and trust routing scheme named ActiveTrust is proposed for WSNs. The most important innovation of ActiveTrust is that it avoids black holes through the active creation of a number of detection routes to quickly detect and obtain nodal trust and thus improve the data route security. More importantly, the generation and distribution of detection routes are given in the ActiveTrust scheme, which can fully use the energy in non-hotspots to create as many detection routes as needed to achieve the desired security and energy efficiency. Both comprehensive theoretical analysis and experimental results indicate that the performance of the ActiveTrust scheme is better than that of previous studies. ActiveTrust can significantly improve the data route success probability and ability against black hole attacks and can optimize network lifetime. Index Terms-black hole attack, network lifetime, security, trust, wireless sensor networks I. INTRODUCTION IRELESS Sensor Networks (WSNs) are emerging as a promising technology because of their wide range of applications in industrial, environmental monitoring, military and civilian domains [1-5]. Due to economic considerations, the nodes are usually simple and low cost. They are often unattended, however, and are hence likely to suffer from different types of novel attacks [6-8]. A black hole attack (BLA) is one of the most typical attacks [9] and works as

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Section: A Overview Of the Proposed Schemementioning

confidence: 99%

ActiveTrust: Secure and Trustable Routing in Wireless Sensor Networks

Liu

Dong

Ota

2016

IEEE Trans.Inform.Forensic Secur.

Self Cite

311

169

View full text Add to dashboard Cite

show abstract

“…One controller node is to be specified which takes care of the network and is used in detecting the black holes in the network. According to the concept of Euclidian distance the nodes start detecting their neighbors by sending the route request packets to the neighbors [6]. The route request and the node acknowledgment is provided while detecting the shortest path from the source node to the sink node [8].…”

Section: Node Deployment Algorithmmentioning

confidence: 99%

Reliable and Secured Routing in Wireless Sensor Networks using Active Trust

Sneha¹,

Akhila²

2017

IJCA

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A Wireless Sensor Network (WSN) comprises of devices that are autonomously distributed in space used to supervise the physical and environmental conditions with the help of sensors. They are mainly used in security critical applications such as monitoring the environment, tracking the surroundings and controlling areas. Security is an important requirement in WSNs. Because of the resource limitation and computational constraints the WSNs are transparent to various security attacks. Black hole attack is a serious attack which badly affects the packet transfer from source to destination. Here the Active Trust scheme is used to avoid the Black hole attack. The Active Trust scheme avoids the black holes through Active detection routing and data routing which improves the route security. The results obtained will indicate that the Active Trust scheme can achieve the same throughput as that of the normal Wireless Sensor Network without black holes. This shows the importance of Active Trust scheme in black hole attacks.

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“…On detecting an event, a sensor node will generate a data packet and the data packet need to be sent to sink node [2], [13]. The shortest routing approach is considered to employ in this paper [2], [13], [14].…”

Section: The Network Modelmentioning

confidence: 99%

“…Adopting the typical energy consumption model [2], [12], [13], see energy consumption for sending data in Eq. (1) and for receiving data in Eq.…”

Section: Energy Consumption Model and Related Definitionsmentioning

confidence: 99%

MDMA: A Multi-Data and Multi-ACK Verified Selective Forwarding Attack Detection Scheme in WSNs

Liu

et al. 2016

IEICE Trans. Inf. & Syst.

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SUMMARYIn this paper, a multi-data and multi-ACK verified selective forwarding attacks (SFAs) detection scheme is proposed for containing SFAs. In our scheme, each node (in addition to the nodes in the hotspots area) generates multiple acknowledgement (ACK) message for each received packet to confirm the normal packet transmission. In multiple ACK message, one ACK is returned along the data forwarding path, other ACKs are returned along different routing paths, and thus malicious nodes can be located accurately. At the same time, source node send multiple data routing, one is primary data routing, the others are backup data routing. Primary data is routed to sink directly, but backup data is routed to nodes far from sink, and then waits for the returned ACK of sink when primary data is routed to sink. If a node doesn't receive the ACK, the backup data is routed to sink, thus the success rate of data transmission and lifetime can be improved. For this case, the MDMA scheme has better potential to detect abnormal packet loss and identify suspect nodes as well as resilience against attack. Theoretical analysis and experiments show that MDMA scheme has better ability for ensuring success rate of data transmission, detecting SFA and identifying malicious nodes. key words: Wireless Sensor Networks, selective forwarding attack, multidata and multi-ACK, identify malicious node

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Energy and memory efficient clone detection in wireless sensor networks

Cited by 46 publications

References 23 publications

ActiveTrust: Secure and Trustable Routing in Wireless Sensor Networks

ActiveTrust: Secure and Trustable Routing in Wireless Sensor Networks

Reliable and Secured Routing in Wireless Sensor Networks using Active Trust

MDMA: A Multi-Data and Multi-ACK Verified Selective Forwarding Attack Detection Scheme in WSNs

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