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Alireza Jolfaei
Researcher at Macquarie University
Publications - 180
Citations - 4410
Alireza Jolfaei is an academic researcher from Macquarie University. The author has contributed to research in topics: Computer science & Encryption. The author has an hindex of 22, co-authored 141 publications receiving 1803 citations. Previous affiliations of Alireza Jolfaei include Temple University & Griffith University.
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Uncertain-Driven Analytics of Sequence Data in IoCV Environments
TL;DR: This work proposes a knowledge called High Expected Utility Sequential Patterns (HEUSPs) that is both novel and also provides an alternative option for knowledge discovery regarding utility and uncertainty factors by a single threshold in IoCV environments.
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Comments on the security of Diffusion-substitution based gray image encryption scheme
TL;DR: It is shown that the recently proposed image encryption scheme by Pareek et al. (2013) is not secure and the secret key is deduced by a chosen-ciphertext attack.
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Covert Attacks Through Adversarial Learning: Study of Lane Keeping Attacks on the Safety of Autonomous Vehicles
TL;DR: It is argued that future smart vehicles are vulnerable to viruses which can use adversarial learning methods to adapt themselves to hosts and remain stealth for a long period by using the Newton--Raphson method.
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Unsupervised-Learning-Based Continuous Depth and Motion Estimation With Monocular Endoscopy for Virtual Reality Minimally Invasive Surgery
TL;DR: Experiments with the public datasets verify that the proposed unsupervised-learning-based continuous depth and motion estimation method can effectively improve the accuracy of depth andmotion estimation, especially after processing the continuous frame.
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RaSEC: An Intelligent Framework for Reliable and Secure Multilevel Edge Computing in Industrial Environments
TL;DR: The proposed framework reduces the response time by forwarding useful information to the cloud servers and can be utilized by various industrial applications and confirms the resiliency of the framework with respect to security and privacy threats.