Confident novel scheme for Provenance forgery and Recognition of Packet Drop attacks with Reliable Transfer of Data

Computer Engineering

The data collected from sensor networks is used in decision-making. Data are streamed from multiple sources through intermediary handling nodes that collect information. A malicious antagonist may host extra nodes in the network or change prevailing ones. Therefore, assuring high data trustworthiness is vital for correct executive. Data provenance represents a key factor in evaluating the trustworthiness of sensor data. Provenance management for sensor networks introduces numerous challenging necessities, such as low energy and bandwidth consumption, storage efficiency and confidential transfer. In this paper, we propose a novel secure scheme to securely transmit provenance on a network. The proposed technique relies on in packet Bloom filters and AES algorithm to encode provenance and transmit confidential data. We introduce efficient mechanisms for provenance verification and reconstruction at the base station. In addition, we extend the secure provenance scheme with functionality to detect packet drop attacks staged and also reliable delivery of packets even if interrupted by malicious data forwarding nodes. The technique is evaluated and the results prove it to be very effective scheme that detects packet drops and also enables reliable delivery of packets.

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