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Author: search.filters.author.Varakulsiripunth, RuttikornSubject: search.filters.subject.Wireless sensor networks

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    Detecting sinkhole attack and selective forwarding attack in wireless sensor networks
    (2009-12-01)
    Tumrongwittayapak, Chanatip
    ;
    Varakulsiripunth, Ruttikorn
    Security in Wireless Sensor Networks (WSNs) is especially challenging and quite different from traditional network security mechanisms. There are two major reasons. Firstly, there are severe constraints on these devices namely their minimal energy, computational and communicational capabilities. Secondly, there is an additional risk of physical attacks such as node capture and tampering. Moreover, cryptography based techniques alone are insufficient to secure WSNs [1]. Hence, intrusion detection techniques must be designed to detect the attacks. Further, these techniques should be lightweight because of resource-constrained nature of WSNs [2]. In this paper, we present a new approach of robust and lightweight solution for detecting the Sinkhole attack and the Selective Forwarding attack based on Received Signal Strength Indicator (RSSI) readings of messages. The proposed solution needs collaboration of some Extra Monitor (EM) node apart from the ordinary nodes. We use RSSI value from four EM nodes to determine the position of all sensor nodes which the Base Station (BS) is origin position (0,0). Later, we use this information as weight from the BS. Another functions of EM nodes are eavesdropper and monitor all traffics, in order to detect the Selective Forwarding attack in the network. Our solution is lightweight in the sense that monitor nodes were not loaded any ordinary nodes or BS and not cause a communication overhead. ©2009 IEEE.
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    Detecting sinkhole attacks in wireless sensor networks
    (2009-12-01)
    Tumrongwittayapak, Chanatip
    ;
    Varakulsiripunth, Ruttikorn
    Presently, the wireless sensor networks (WSNs) are widely used in many areas of communication systems and its security system becomes very important. However, the security mechanism for WSNs has to be considered differently from traditional network. Firstly, there are severe constraints on WSNs devices such as minimal energy, computational and communicational capabilities. Secondly, there is an additional risk of physical attacks such as node capture and tampering. Moreover, cryptography based techniques alone are insufficient to secure WSNs. Hence, intrusion detection techniques must be designed and developed to detect the any kind of undesirable attacks. Further, these techniques should be lightweight because of resource-constrained nature of WSNs. Therefore, we present a new approach of robust and lightweight solution for detecting the Sinkhole attack based on Received Signal Strength Indicator (RSSI) readings of messages. The proposed solution needs collaboration of some Extra Monitor (EM) nodes apart from the ordinary nodes. We use values of RSSI from four EM nodes to determine the position of all sensor nodes where the Base Station (BS) is located at origin position (0,0). We use this information as weight from the BS in order to detect Sinkhole attack. The simulation results show that the proposed mechanism is lightweight due to the monitor nodes were not loaded with any ordinary nodes or BS. Moreover, the proposed mechanism does not cause the communication overhead. © 2009 SICE.
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    A light-weight fault-tolerant time synchronization for wireless sensor networks
    (2008-12-01)
    Seareesavetrat, Sakpong
    ;
    Pornavalai, Chotipat
    ;
    Varakulsiripunth, Ruttikorn
    Wireless sensor networks (WSN) have received a lot of attention recently due to their enormous potential in different applications. Many applications in WSN require time synchronization among all the sensor nodes. However, in practice, network do normally have some abnormal nodes (we called Fault Clock Node or FCN), which could cause high synchronization error. In this paper, we present a light-weight fault-tolerant time synchronization protocol (LiFTiS) which works in a way similar to NTP. The protocol is aware of FCN and is able to detect its children in hierarchical tree. We also propose a light-weight algorithm for selecting the best parent. Our simulation results show that the average synchronization error using the proposed protocol is 5-31% less than the existing algorithms e.g. TPSN etc. © 2008 IEEE.