DDoS Attack Identification
Figure
3-6 : The process used for Smart Contract recording DDOS threats and countermeasures .
Applied to control plane nodes , blockchain smart contracts can observe and alert anomalous UE detach , reconnect , paging , location update , and re-establish behaviors that indicate control plane DDoS attacks . Applied to user-plane nodes , blockchain smart contracts can observe and alert anomalous packet flow volume and activity patterns that indicate user plane IoT DDOS attacks . When combined from multiple nodes serving the same devices , blockchain smart contract reports can be observed for temporal and spatial patterns that can point to the presence , origin , and destination of DDoS attacks . Application of blockchain records and smart contract induced updates to IoT DDoS use cases provides an effective distributed data source for DDoS anomaly detection , countermeasure , and mitigation functions . Blockchain-based solutions are better suited to IoT networks than classical probing , packet inspection , and data caching techniques because the raw data and rule computations are handled at the distributed nodes .
Opportunities include :
( 1 ) Distributed nodes that are scattered . The transition from centralized cloud computing to decentralized Edge computing is well-suited to the decentralized Blockchain . Running Blockchain among distributed nodes has the potential to enable safe data sharing , tracking , and validation for large-scale IoT applications . As DDoS packets ( user data or signaling data ) traverse multiple distributed edge and internal nodes and interfaces , they can be observed and selectively identified by smart contracts at each distributed node . This is analogous to trapping fish at the incoming stream , versus angling the entire lake . When compared to centralized commercial clouds , the operational expenses of Blockchain and smart contracts could be greatly lowered .
IIC Journal of Innovation 65