MALICIOUS ADVERSARY DECISION MAKING FOR COMPLEX INFRASTRUCTURES

A malicious foe may introduce additional nodes within the network or compromise existing ones. Therefore, assuring high data trustworthiness is vital for proper decision-making. Data provenance represents a vital element in evaluating the standing of sensor data. Large-scale sensor systems are deployed in several application domains, and also the data they collect are utilized in decision-creating critical infrastructures. Data are streamed from multiple sources through intermediate processing nodes that aggregate information. Provenance management for sensor systems introduces several challenging needs, for example low energy and bandwidth consumption, efficient storage and secure transmission. Within this paper, we advise a manuscript lightweight plan to safely transmit provenance for sensor data. The suggested technique depends on in packet Blossom filters to encode provenance. We assess the suggested technique both analytically and empirically, and also the results prove the success and efficiency from the lightweight secure provenance plan in discovering packet forgery and loss attacks. We introduce efficient mechanisms for provenance verification and renovation in the base station. Additionally, we extend the secure provenance plan with functionality to identify packet drop attacks staged by malicious data forwarding nodes