Fuzzy-based trusted routing to mitigate packet dropping attack between data aggregation points in smart grid communication network

Ganeshkumar, P.; Velusamy, Durgadevi; Paul, Anand; Kim, Ku-Jin

doi:10.1007/s00607-016-0518-5

Cited by 15 publications

(3 citation statements)

References 17 publications

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“…Then groups with similar status are established. The nodes with weak social relationship may be the malicious nodes and they should be avoided being used to forward traffic [65] . The trust of nodes can also be calculated by using probability theory and packets can be routed according to fuzzy set theory [66] .…”

Section: Securitymentioning

confidence: 99%

The development of green wireless mesh network: A survey

Chai¹,

Zeng²

2021

JSEGC

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Wireless mesh network (WMN) is a type of self-healing, self-configuration, and peer-to-peer wireless network. Without expensive and fixed base stations, WMN can be established fast, easily, and flexibly at a low cost. The convenience and flexibility of establishing WMN brings a wide range of applications. The request of high bandwidth, high coverage and high transmission rate can be satisfied. Current research on WMN involves routing, resource allocation, mobility control, security and so on. With the increasing concern of green communication, improving energy efficiency is more and more important nowadays. As energy harvesting can overcome energy constraints and extend the network lifetime, it has attracted the great attention from many researchers when designing network. Further, WMN is an important networking mode in next-generation communication to guarantee the quality of service and reduce the networking complexity. Due to such importance, a survey of the research and development in WMN including the future research direction and opportunities is given in this paper.

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Section: Securitymentioning

confidence: 99%

The development of green wireless mesh network: A survey

Chai¹,

Zeng²

2021

JSEGC

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“…This approach reduced the energy consumed by each sensor node and improved network lifetime and throughput. In the paper [6], a novel trust-based routing that uses probability theory for trust assessment and fuzzy theory for secured routing is proposed. The trust value is calculated probabilistically for every node before transmitting the packet.…”

Section: Fig 2 Corresponding Tree Topologymentioning

confidence: 99%

Energy Efficient Fuzzy Cost-Effective Routing for Transmission of Critical Physiological Parameters in Wireless Body Area Network under Emergency Scenarios

2019

IJITEE

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Wireless body area networks with routing and collaborative fuzzy mechanisms for network analysis have become more efficient in today’s healthcare technology. In this article, a novelthreshold-based probability theory and fuzzy logic cost-effective routing technique is proposed that depends on location and residual energy attributes to reduce the overall energy consumption among the sensing nodes and increasing network lifetime. Attributes such as energy and distance are considered for generating if-then rules and membership functions. A fuzzy conditional reasoning is performed using interference mechanism and a defuzzification methodology is applied on the computed cost value to make an efficient choice. Mamdani-Fuzzy logic toolbox in matrix laboratory is used to evaluate the simulation performance of the proposed method with that of other existing conventional methods. From the results obtained, it is observed that for the different metrics, the proposed technique provides improvements in terms of energy efficiency, stability period and network lifetime.

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“…But the transient fluctuation of channels may result in the rapid change of the threshold values, and then draw mistake detection results. The AI-based detection schemes [34][35][36][37][38][39][40][41][42][43][44][45] find malicious nodes by actively learning their malicious behaviors which are different from those of normal nodes. But these schemes need a long learning process or game process to model the malicious behaviors.…”

Section: Introductionmentioning

confidence: 99%

Employ DBSCAN and Neighbor Voting to Screen Selective Forwarding Attack Under Variable Environment in Event-Driven Wireless Sensor Networks

Liu

2021

IEEE Access

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In the event-driven wireless sensor networks (EWSNs), the event of interests occurs irregularly and at random in the network. Then, sensor nodes near the event sense the event and send out data packets of the event. Next, router nodes (RNs) forward those packets to the sink node (SN) by multi-hop communications. Compromised RNs would become malicious and launch selective forwarding attacks by dropping part of or all the packets from other nodes. On the other hand, a harsh environment makes the channel poor, so the routing nodes under a harsh environment have low packet forwarding rates because they sometimes have to give up forwarding the current packets after many tries to forward them due to poor channel. If the malicious nodes' forwarding rates become close to those of nodes under a harsh environment, the schemes based on packet forwarding rates for detecting selective forwarding attack may fail because they cannot differentiate the low data packet forwarding rates resulting from the malicious behaviors or harsh environment. To solve this problem, we provide a combined scheme for detecting selective forwarding attack in wireless sensor networks (WSNs) under harsh environments. This scheme employs a data clustering algorithm (DCA) to screen the malicious nodes out by clustering their cumulative forwarding rates (CFRs) and designs a voting decision method to protect the nodes under a harsh environment from being judged as malicious nodes. The simulation results show that our scheme has a low false detection rate (FDR) of 1% and a low missed detection rate (MDR) of 5% respectively with negligible energy consumption in WSNs under a local variable harsh environment.INDEX TERMS event-driven wireless sensor networks, selective forwarding attack, cumulative forwarding rate, data clustering algorithm

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Fuzzy-based trusted routing to mitigate packet dropping attack between data aggregation points in smart grid communication network

Cited by 15 publications

References 17 publications

The development of green wireless mesh network: A survey

The development of green wireless mesh network: A survey

Energy Efficient Fuzzy Cost-Effective Routing for Transmission of Critical Physiological Parameters in Wireless Body Area Network under Emergency Scenarios

Employ DBSCAN and Neighbor Voting to Screen Selective Forwarding Attack Under Variable Environment in Event-Driven Wireless Sensor Networks

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