10   Artículos

 
en línea
Saikat Das, Mohammad Ashrafuzzaman, Frederick T. Sheldon and Sajjan Shiva    
The distributed denial of service (DDoS) attack is one of the most pernicious threats in cyberspace. Catastrophic failures over the past two decades have resulted in catastrophic and costly disruption of services across all sectors and critical infrastru... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Ammar Odeh and Anas Abu Taleb    
Cybersecurity finds widespread applications across diverse domains, encompassing intelligent industrial systems, residential environments, personal gadgets, and automobiles. This has spurred groundbreaking advancements while concurrently posing persisten... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yuejun Guo, Orhan Ermis, Qiang Tang, Hoang Trang and Alexandre De Oliveira    
Signalling protocols are responsible for fundamental tasks such as initiating and terminating communication and identifying the state of the communication in telecommunication core networks. Signalling System No. 7 (SS7), Diameter, and GPRS Tunneling Pro... ver más
Revista: Information    Formato: Electrónico

 
en línea
Siyuan Liu, Qi Shao, Wei Li, Guijun Han, Kangzhuang Liang, Yantian Gong, Ru Wang, Hanyu Liu and Song Hu    
Conditional nonlinear optimal perturbation (CNOP) represents the initial perturbation that satisfies a certain physical constraint condition, and leads to a maximum prediction error at the moment of prediction. The CNOP method is a useful tool in studyin... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Maya Hilda Lestari Louk and Bayu Adhi Tama    
Classifier ensembles have been utilized in the industrial cybersecurity sector for many years. However, their efficacy and reliability for intrusion detection systems remain questionable in current research, owing to the particularly imbalanced data issu... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Stamatis Karlos, Georgios Kostopoulos and Sotiris Kotsiantis    
In recent years, a forward-looking subfield of machine learning has emerged with important applications in a variety of scientific fields. Semi-supervised learning is increasingly being recognized as a burgeoning area embracing a plethora of efficient me... ver más
Revista: Algorithms    Formato: Electrónico

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