Browsing by Author "Alhejazi, Manal Mohamed Abdullatif"

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A Novel Blockchain Weighted Majority Consensus Algorithm (WMCA) For Enhancing the Security Level of Internet of Things
(Imam Abdulrahman Bin Faisal University, 2020) Alhejazi, Manal Mohamed Abdullatif; Mustafa, Rami
Nowadays, the internet developed rapidly around the world, according to this development the use of Internet of Things (IoT) and its applications grows in human life. IoT is defined as various heterogeneous objects that are connected to the internet and can identify themselves to other devices. Although the IoT holds a lot of chances for improving our life, but still it contains a lot of serious risks. This leads to focus on securing the IoT and develop security techniques that can increase the security level of IoT. Thus, it is important to find a way to secure IoT devices. A recent technology called blockchain is considered as a new move in the internet world. The blockchain is a peer to peer connections distributed system that performs transactions securely by using consensus algorithms without the need of trusted third party. Recently, the blockchain is used to secure IoT networks, but the researches in this area are not enough. This thesis first investigates the most used consensus algorithms in blockchain systems and then proposes a novel blockchain Weighted Majority Consensus Algorithm (WMCA) based on weighted majority algorithm in ensemble learning. Also, it defines the methodology, the pseudo code and the implantation of WMCA and discusses the WMCA evaluation and results. The obtained result shows that WMCA can detect participating nodes status. Then based on this detection, security actions will be taken to secure the system. As result, the WMCA will contribute in enhancing the security level of Blockchain based IoT systems.
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