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198185 https://hdl.handle.net/2286/R.2.N.198185 http://rightsstatements.org/vocab/InC/1.0/ All Rights Reserved 2024 36 pages Masters Thesis Academic theses Text eng Hati, Arjun Johnson, Nathan Chakrabarty, Krishnendu Arora, Aman Arizona State University Partial requirement for: M.S., Arizona State University, 2024 Field of study: Computer Engineering The energy sector is shifting towards renewable resources, with smart grids playinga key role in this transformation. Smart grids efficiently integrate renewable en- ergy sources to optimize traditional fossil fuel-based power generation. Smart grids achieve this optimization by using real-time data from grid edge devices for continuous monitoring and control. The diversity of stakeholders and proprietary communica- tion protocols for different grid edge devices pose a challenge for the development of smart grid security solutions. Cyberattacks on the communication interface can expose confidential system data, leading to malicious behavior or functional sabotage of the system, posing a significant security risk to the system. This thesis presents a data security approach designed to protect the functional data communicated by grid edge devices. The proposed security algorithm is de- ployed on a standalone hardware interface between the central controller and the grid edge device. The security algorithm features a dynamic session key calculation method, which prevents attackers from intercepting and deciphering the data commu- nicated by the grid edge device. This approach makes it challenging for attackers to make assumptions about the encryption algorithm. Additionally, this work addresses the critical issue of establishing trust during the initial connection, ensuring device authentication using Transport Layer Security (TLS) protocol. The security algorithm is deployed on a Raspberry Pi connected to a central con- troller via an ethernet cable to evaluate the performance overhead of the proposed algorithm. The encryption and decryption process adds 3% overhead to the com- munication time, while ensuring strong security. By implementing dynamic security algorithm, this work aims to enhance the security of smart grid networks, safeguard sensitive data, and maintain the integrity and reliability of the smart grid system. Computer Engineering AES Cyberattacks ECDH Hardware Security Smart Grids TLS Cybersecure Hardware for Grid Edge Devices