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1
Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3131503
Abstract: The emerging link flooding attacks (LFAs) are one type of attacks that attract significant attention in both academia and industry against the routing infrastructure. The attack traffic flows originating from bots (e.g., compromised IoT devices)…
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Keywords:
attack interference;
flooding attacks;
modeling link;
attacks defenses ... See more keywords
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3
Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3253559
Abstract: The attacks and defenses on the information of which website pages are visited by users are important research subjects in the field of privacy enhancing technologies, they are termed as website fingerprinting (WF) attacks and…
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Keywords:
survey deep;
website fingerprinting;
learning;
deep learning ... See more keywords
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2
Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3198481
Abstract: With the unprecedented development of deep learning, autonomous vehicles (AVs) have achieved tremendous progress nowadays. However, AV supported by DNN models is vulnerable to data poisoning attacks, hindering the large-scale application of autonomous driving. For…
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Keywords:
attacks defenses;
data poisoning;
state art;
poisoning attacks ... See more keywords