Advancements in cyberthreat intelligence through resource exhaustion attack detection using hybrid deep learning with heuristic search algorithms. [PDF]
Jayanthi S +6 more
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Smart IoT applications of multi attack detection using cluster F1MI approach. [PDF]
Nagavel V, Bhuvaneswari PTV, Ramesh P.
europepmc +1 more source
A hybrid deep learning model for detection and mitigation of DDoS attacks in VANETs. [PDF]
Jayakrishna N, Prasanth NN.
europepmc +1 more source
DDoS attack detection in Edge-IIoT digital twin environment using deep learning approach. [PDF]
Al-Obeidat F +3 more
europepmc +1 more source
GraphFedAI framework for DDoS attack detection in IoT systems using federated learning and graph based artificial intelligence. [PDF]
Anjum M +6 more
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Ransomware attacks and cybersecurity concerns in modern hospitals: vulnerabilities and impacts on trauma centers and patient care. [PDF]
Martin MJ, Patel PP, Egodage T.
europepmc +1 more source
DDoS classification of network traffic in software defined networking SDN using a hybrid convolutional and gated recurrent neural network. [PDF]
Elshewey AM +4 more
europepmc +1 more source
Lightweight machine learning framework for efficient DDoS attack detection in IoT networks. [PDF]
Nawaz M +4 more
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Connecting anything to the Internet is one of the main objectives of the Internet of Things (IoT). It enabled to access any device from anywhere at any time without any human intervention. There are endless applications of IoT involving controlling home applications to industry.
Shubham Kumar, Beerappa R. Chandavarkar
openaire +1 more source
A taxonomy of DDoS attack and DDoS defense mechanisms
ACM SIGCOMM Computer Communication Review, 2004Distributed denial-of-service (DDoS) is a rapidly growing problem. The multitude and variety of both the attacks and the defense approaches is overwhelming. This paper presents two taxonomies for classifying attacks and defenses, and thus provides researchers with a better understanding of the problem and the current solution space.
Jelena Mirkovic, Peter L. Reiher
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