EdgeGuard: Real-Time Rule-Based Spam Detection for IOTA Tangle on Edge Devices

Our research paper addresses the pressing security challenges emerging within the rapidly expanding Internet of Things (IoT) landscape, with a specific focus on the IOTA Tangle—a distributed ledger based on Directed Acyclic Graph (DAG) technology. The proliferation of IoT devices has heightened the demand for secure and efficient transaction processing on distributed ledgers, but this surge also amplifies the risk of spam transactions that can compromise the integrity and efficiency of the ledger. In response to this imperative, we introduce EdgeGuard—a sophisticated rule-based spam detection system implemented on edge devices. This real-time system dynamically analyzes transaction data, applying predefined rules to differentiate between legitimate transactions and spam. Immediate action is taken to prevent spam transactions from infiltrating the IOTA Tangle, and the use of edge devices enhances the efficiency of spam detection by alleviating the load on servers. Notably, the system includes integration with real-time alerts using a messaging channel to notify system owners when spam transactions are identified. The effectiveness of EdgeGuard is rigorously validated through real-world data scenarios, demonstrating its capacity to thwart potentially harmful transactions. This research paper significantly contributes to the broader discourse on decentralized security measures, emphasizing the paramount importance of fortifying distributed ledgers. This is particularly crucial in critical IoT applications where unauthorized transactions could yield severe consequences. EdgeGuard stands as a robust solution, embodying innovation in tackling the evolving challenges posed by the intersection of IoT and distributed ledger technologies.