To Avoid False Data Injection Using Bloom Filter
In today’s developing world a large amount of sensor networks are used in various real-time applications. Large amount of Data are streamed from multiple sources through intermediate processing nodes that share information throughout the network. Some of the domains where these Sensor networks are used include cyber physical infrastructure systems, environmental monitoring, power grids, etc. Data goes through various nodes to complete a path from producer system to consumer system.
Malicious attacks are possible in between. This project hereby introduces an in-packet bloom filter, which will keep the track of provenance details of each packet separately. This proposal is about a novel lightweight scheme to securely transmit provenance for sensor data. It introduces efficient mechanisms for provenance verification and reconstruction at the base station through decoding of the provenance details. This extends the secure provenance scheme with functionality to detect packet drop attacks. The goal is to design a provenance encoding and decoding mechanism that satisfies such security and performance needs.