Print Email Facebook Twitter Blockchain-based frameworks for mitigating DDoS and Sybil attacks in the IoT Title Blockchain-based frameworks for mitigating DDoS and Sybil attacks in the IoT Author Dikmen, Cemal (TU Delft Electrical Engineering, Mathematics and Computer Science; TU Delft Cyber Security; TU Delft Intelligent Systems) Contributor Erkin, Z. (mentor) Ayşen, M. (graduation committee) Degree granting institution Delft University of Technology Programme Computer Science and Engineering Project CSE3000 Research Project Date 2021-07-01 Abstract With the growing scale of the IoT, many industries enjoy the benefit of automation. The IoT consists of an interconnected network of devices that sense their surroundings and share data among other IoT devices. However, this data can be sensitive and private in nature, making security within the ever-growing IoT network a high priority. Because of the constrained nature of IoT devices, namely limited computing power, memory and energy, classical cryptographic solutions are not desired. Furthermore, current IoT frameworks are heavily centralised around central servers which can result in single points of failure in the case of DoS attacks. Because of these drawbacks, the emerging blockchain technology is seen as a potential solution to these problems. A blockchain is a distributed ledger that is able to keep an immutable list of transactions occurring in a network. The purpose of this research is to compare blockchain-based frameworks for mitigating DDoS and Sybil attacks in the IoT by comparing proposed blockchain-based frameworks. Qualitative evaluation of proposed frameworks suggests that there are several strategies to improve security within the IoT. Blockchain, in addition to other technologies such as SDN, can provide effective mitigation of DDoS attacks and Sybil attacks. However, there is limited quantitative test data available and further research is required in this novel field of research. Subject IoTBlockchainDDoSSybilSecurity To reference this document use: http://resolver.tudelft.nl/uuid:f5744112-7b5d-469f-99f8-d52dec478766 Part of collection Student theses Document type bachelor thesis Rights © 2021 Cemal Dikmen Files PDF BSc_Thesis_CDikmen.pdf 176.35 KB Close viewer /islandora/object/uuid:f5744112-7b5d-469f-99f8-d52dec478766/datastream/OBJ/view