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- The University of MelbourneAU14 papers
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13 papers · 1 filter
AGRAMPLIFIER: Defending Federated Learning Against Poisoning Attacks Through Local Update Amplification
Zirui Gong, Liyue Shen, Yanjun Zhang +4
The collaborative nature of federated learning (FL) poses a major threat in the form of manipulation of local training data and local updates, known as the Byzantine poisoning atta…
Blockchain-Based and Fuzzy Logic-Enabled False Data Discovery for the Intelligent Autonomous Vehicular System
Ziaur Rahman, Xun Yi, Ibrahim Khalil +2
Since the beginning of this decade, several incidents report that false data injection attacks targeting intelligent connected vehicles cause huge industrial damage and loss of liv…
Dependable Intrusion Detection System for IoT: A Deep Transfer Learning-based Approach
Sk. Tanzir Mehedi, Adnan Anwar, Ziaur Rahman +2
Security concerns for IoT applications have been alarming because of their widespread use in different enterprise systems. The potential threats to these applications are constantl…
Enhancing AES Using Chaos and Logistic Map-Based Key Generation Technique for Securing IoT-Based Smart Home
Ziaur Rahman, Xun Yi, Mustain Billah +2
The Internet of Things (IoT) has brought new ways for humans and machines to communicate with each other over the internet. Though sensor-driven devices have largely eased our ever…
Defining Security Requirements with the Common Criteria: Applications, Adoptions, and Challenges
Nan Sun, Chang-Tsun Li, Hin Chan +5
Advances of emerging Information and Communications Technology (ICT) technologies push the boundaries of what is possible and open up new markets for innovative ICT products and se…
Deep Transfer Learning Based Intrusion Detection System for Electric Vehicular Networks
Sk. Tanzir Mehedi, Adnan Anwar, Ziaur Rahman +1
The Controller Area Network (CAN) bus works as an important protocol in the real-time In-Vehicle Network (IVN) systems for its simple, suitable, and robust architecture. The risk o…