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Blockchain based Secure AI-Aided Intrusion Detection System
Participants
Dr. Ohood Alharbi
Summary
Cyber threats are becoming more advanced, making it difficult for traditional security systems to detect and prevent attacks effectively. This research focuses on developing a blockchain-based, AI-powered intrusion detection system to improve cybersecurity. Blockchain technology ensures that security data, such as attack logs, cannot be altered or tampered with, providing a transparent and trustworthy record of cyber threats. At the same time, artificial intelligence is used to detect unusual patterns in network traffic, helping to identify potential attacks in real-time. Smart contracts, which are self-executing programs on the blockchain, will automate security responses, reducing delays in addressing threats. The project will explore ways to make this system both secure and scalable while improving accuracy in detecting cyberattacks. By combining blockchain and AI, this research aims to create a more intelligent, decentralized, and resilient cybersecurity solution for protecting sensitive systems and critical infrastructure from evolving cyber threats.
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Funding
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Publications
[1] O. Alharbi, R. A. Shaikh and R. Asif, "Data-Aided Intrusion Detection Systems: Leveraging AI, Blockchain and Digital Twin Technology," 2024 IEEE International Conference on Big Data (BigData), Washington, DC, USA, 2024, pp. 8214-8215, doi: 10.1109/BigData62323.2024.10825899.
Exploring IoT-Enabled Ubiquitous Computing for Smarter, Safer, and More Efficient Cities
Participants
Summary
The rapid advancement of ubiquitous computing has played a transformative role in the development of smart cities, where technology seamlessly integrates into everyday life to enhance urban living. This research provides a comprehensive review of the Internet of Things (IoT) and its impact on smart city development, focusing on key areas such as sustainable infrastructure, intelligent transportation, energy efficiency, public safety, and citizen engagement. By analysing IoT-based solutions, the study explores how real-time data collection, machine learning, and cloud computing contribute to smart city innovation. The review also examines challenges, including cybersecurity risks, data privacy concerns, and scalability issues, while discussing emerging trends like edge computing, 5G, and AI-driven automation. Ultimately, this study highlights the potential of ubiquitous computing in creating more efficient, resilient, and citizen-centric urban environments, paving the way for the cities of the future.
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Publications
[1] Ali, Jawad, Mohammad Haseeb Zafar, Chaminda Hewage, Syed Raheel Hassan, and Rameez Asif. 2023. "The Advents of Ubiquitous Computing in the Development of Smart Cities—A Review on the Internet of Things (IoT)" Electronics 12, no. 4: 1032. https://doi.org/10.3390/electronics12041032