2018 · 12 citations · 19 references
ComputingComputer ScienceCybersecurityComputer SecurityInternet Of ThingsNetwork SecurityCyber-physical SecurityDenial Of Service VulnerabilitiesDenial-of-service AttacksIntrusion DetectionIot SecurityThreat DetectionBlockchain SecurityBlockchain-based SecurityDdos DetectionDenial-of-service DetectionDistributed Denial Of ServiceIntrusion Detection ArchitectureIot Intrusion DetectionNetwork-based Intrusion Detection
Internet of Things (IoT) is a fast growing technology in the digitalised world where each device in the network interconnect and interact with other device to collect the information and automate tasks.A lot of vulnerabilities are exposed in IoT devices, which can be exploited to compromise the devices and an infected device can disrupt all other nodes in the network. The severeness of the vulnerabilities can vary from launching a Distributed Denial of Service (DDOS) attack to entirely draining the batteries of a heart pacemaker. Although IoT providers constantly working on reducing the vulnerabilities, an Intrusion Detection (ID) system can be built to find, whether the nodes are behaving abnormally or not. ID system can be built with a centralized architecture, but compromising the centralized entity can result in compromising the entire network. For storing data and running ID system in a decentralized manner, blockchain technology is executed to increase trust between the peers. With this decentralized blockchain architecture each node will be able to find out whether the peers in the group are malicious or not. So, we propose a architecture, IDBIoT (Intrusion Detector for Blockchain based IoT networks) for Intrusion detection in an IoT environment, that mainly focuses on the securing the network by detecting intruders, using statistical significance while preventing Goldfinger attack.
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