Source-Based Defense Against DDoS Attacks in SDN Based on sFlow and SOM
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DOI: 10.1109/access.2021.3139511
Abstract: In the traditional distributed control network, due to the difficulty in detection and the ambiguous defense responsibility, it is not efficient and effective to detect Distributed Denial of Service (DDoS) attacks in the network where… read more here.
Keywords: defense; based defense; ddos attacks; source based ... See more keywords
ARGAN: Adversarially Robust Generative Adversarial Networks for Deep Neural Networks against Adversarial Examples
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DOI: 10.1109/access.2022.3160283
Abstract: An adversarial example, which is an input instance with small, intentional feature perturbations to machine learning models, represents a concrete problem in Artificial intelligence safety. As an emerging defense method to defend against adversarial examples,… read more here.
Keywords: networks based; adversarial examples; based defense; adversarial networks ... See more keywords
Image Transformation-Based Defense Against Adversarial Perturbation on Deep Learning Models
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Dependable and Secure Computing"
DOI: 10.1109/tdsc.2020.3027183
Abstract: Deep learning algorithms provide state-of-the-art results on a multitude of applications. However, it is also well established that they are highly vulnerable to adversarial perturbations. It is often believed that the solution to this vulnerability… read more here.
Keywords: image; based defense; deep learning; perturbation ... See more keywords