A provenance based defensive technique to determine malevolent selective forwarding attacks in multi-hop wireless sensor networks

Multi-hop wireless sensor networks are being implemented in various domains. The collected data are used to make important decisions for censorious infrastructures. Data are processed by a huge quantity of sensor nodes as well as handled on intermediate nodes which are known as hops on the way to the Base Station (BS) which performs the resolution accomplishing. Information have been collected from various sources and intermediate hopes will process and aggregate information. A malevolent opponent may interfere through the information via proposing extra node within the web infrastructure. There are chances to compromising the existing nodes. Malevolent Selective Forwarding attacks are most important protection problem toward the information forwarding within wireless sensor networks (WSN), as this might hinder broadcast of susceptible information as well as it reduces network throughput. Assuring data trustworthiness in this situation has been critical in support of accurate resolution accomplishing. Information provenance signifies a main aspect into analyzing the trustworthiness of wireless sensor data. In this paper we introduce a provenance based technique to determine the attack. Three phases are there in this scheme, detecting packet-loss in the first phase, second phase dealing with identifying attacked sensor node and isolating malevolent sensor node in the third phase. We have included the detailedanalysis of the investigational outcomes for showing the accurateness as well as effectiveness of the proposed system.

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