Explore impactful final-year cyber security projects, ideal for BTech, MTech, and PhD students, offering innovative solutions to real-world challenges. Enhance your expertise with hands-on experience in areas like network security, cryptography, ethical hacking, and malware analysis.
Explore attack and defense strategies in cyber-physical power systems, focusing on vulnerabilities introduced by digitalization and intelligence. Understand how cyber threats target intelligent devices, potentially compromising energy supply.
A deep learning-based model enhances cyber-attack detection in smart power systems, using PMU data. By training on collected logs and creating features, it employs machine learning techniques, with random forest as AdaBoost's default classifier, to manage security risks effectively
This study assesses power system reliability, focusing on cyberattacks targeting wind farm energy management and SCADA systems. By exploiting cyber vulnerabilities, attackers can disrupt turbine operations
This study analyzes electric power system reliability in the context of cyber security, focusing on the SCADA/EMS system. It highlights how diverse cyber threats and altered system structures impact overall dependability, addressing the research gap in this critical area.
This study proposes an enhanced deep learning model to detect zero-day controller hijacking attacks on power-grid systems. By training on regular data from legitimate processes, this temporal model identifies abnormal behaviors