Conserving and Detecting Packet Dropping Attacks in Wireless Networks Using Bloom Filter
Keywords:
Bloom Filters, Publish/Subscribe Multicast, Forwarding, Security, Sensor Networks.Abstract
Large-scale ad-hoc systems are deployed in various application areas and the data they gather are utilized
as a part of decision-making for critical infrastructures. Data are streamed from different sources through intermediate
processing nodes that aggregate information. A malicious adversary may present extra nodes in the network or
compromise existing ones. Therefore, guaranteeing high data trustworthiness is crucial for right decision-making. In this
paper, we propose a novel Truthful Detection of Packet Dropping Attacks in Wireless Ad Hoc Networks to securely
transmit sensor data. The proposed method depends on in packet Bloom filters to encode the data. We present productive
mechanisms for data verification and reconstruction at the base station. In addition, we expand the protected data
scheme with functionality to detect packet drop organized by malicious data sending nodes. We assess the proposed
system both analytically and experimentally, and the outcomes demonstrate the adequacy and efficiency of the Truthful
Detection of Packet Dropping Attacks in Wireless Ad Hoc Networks in detecting packet forgery and los attacks
