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Application of AI in Cyberattack Detection: A Review. [PDF]
Sensors (Basel)Boateng YJ +5 more
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Intrusion detection with HACDT-Net and TRBM-Net using a hybrid deep learning framework with enhanced sampling techniques. [PDF]
Sci RepPadma Priya N, Mohanbabu G.
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Detection of internet of things network attacks by hybrid deep learning (CNN-LSTM) algorithm to enhance security. [PDF]
Sci RepDuraibi S, Alashjaee AM.
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Malware Detection Using RNA Encoding and Convolutional Neural Networks on the Malicious Network Dataset. [PDF]
F1000ResFitian Rashid O +2 more
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A Civil-Military Response to Hybrid Threats
2018This edited volume provides scholars and practitioners with an in-depth examination of the role of civil-military cooperation in addressing hybrid threats. As they combine the simultaneous employment of conventional and non-conventional tools and target not only military objectives but governments and societies at large, hybrid threats cannot be ...
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Applying Resilience to Hybrid Threats
IEEE Security & Privacy, 2019Digital interconnectedness has revolutionized how we acquire information and make decisions. Informationmwhether news being distributed on the Internet or a status update on social mediamcan now percolate almost instantaneously through a network. Although such digital interconnectedness has generated tens of billions of dollars of business revenue each
Igor Linkov +10 more
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This groundbreaking monograph offers a comprehensive legal and conceptual analysis of hybrid warfare and hybrid threats—two evolving challenges that blur the boundaries between war and peace.
Łubiński, Piotr
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