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A Systematic Comparison of Large Language Models Performance for Intrusion Detection

Autoři: Minh-Thanh Bui Matteo Boffa Rodolfo Vieira Valentim a další

Zdroj: Proceedings of the ACM on Networking. 2:1-23

Témata: Security and privacy, Intrusion detection systems, Firewalls, Computing methodologies, Machine learning, Natural language processing, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0509 other social sciences

Popis souboru: application/pdf

Přístupová URL adresa: https://dl.acm.org/doi/pdf/10.1145/3696379
https://doi.org/10.1145/3696379
https://hdl.handle.net/11583/2997588

Enhanced intrusion detection system IoT network security model by feed forward neural network and machine learning.

Autoři: Alashjaee, Abdullah Mujawib Alqahtani, Fahad

Zdroj: Scientific Reports. 10/15/2025, Vol. 15 Issue 1, p1-13. 13p.

Témata: *INTRUSION detection systems (Computer security), *MACHINE learning, *ARTIFICIAL neural networks, *DEEP learning, *ENSEMBLE learning, *INTERNET of things

Hybrid Intrusion Detection for Malware Threats in Cloud Computing using Principal Component Analysis and Harris Hawks Optimization.

Autoři: Swathi, R. Depuru, Sivakumar Nandam, Anjana Devi a další

Zdroj: International Journal of Environmental Sciences (2229-7359); 2025 Special Issue, Vol. 11, p103-115, 13p

Témata: MALWARE, CLOUD computing, DEEP learning, INTRUSION detection systems (Computer security), PRINCIPAL components analysis, OPTIMIZATION algorithms, DIMENSIONAL reduction algorithms, MULTILAYER perceptrons

Federated learning in intrusion detection: advancements, applications, and future directions.

Autoři: Buyuktanir, Busra Altinkaya, Şahsene Karatas Baydogmus, Gozde a další

Zdroj: Cluster Computing; 2025, Vol. 28 Issue 7, p1-25, 25p

Témata: FEDERATED learning, INTRUSION detection systems (Computer security), GENERATIVE adversarial networks, INTERNET security, DATA security, MACHINE learning, DISTRIBUTED computing, RIGHT of privacy

An AI‐Enabled Privacy‐Preserving Federated Learning Framework of Hybrid bi‐LSTM‐RNN‐CNN for Deep Intelligent Intrusion Detection in Fog Computing in the IoT Domain.

Autoři: Prakash, Vijay Shukla, Arun Kumar

Zdroj: Concurrency & Computation: Practice & Experience; 12/25/2025, Vol. 37 Issue 27/28, p1-25, 25p

Témata: INTRUSION detection systems (Computer security), INTERNET of things, DATA security, ARTIFICIAL intelligence, EDGE computing, DEEP learning, FEDERATED learning

Deep learning for intrusion detection in emerging technologies: a comprehensive survey and new perspectives.

Autoři: Neto, Euclides Carlos Pinto Iqbal, Shahrear Buffett, Scott a další

Zdroj: Artificial Intelligence Review; Nov2025, Vol. 58 Issue 11, p1-63, 63p

Témata: DEEP learning, INTRUSION detection systems (Computer security), EDGE computing, INTERNET security, TECHNOLOGICAL innovations, INTERNET of things, CLOUD computing

Quantum-Driven Chaos-Informed Deep Learning Framework for Efficient Feature Selection and Intrusion Detection in IoT Networks.

Autoři: Turaka, Padmasri Panigrahy, Saroj Kumar

Zdroj: Technologies (2227-7080); Oct2025, Vol. 13 Issue 10, p470, 20p

Témata: INTRUSION detection systems (Computer security), INTERNET of things, QUANTUM computing, CHAOS theory, MACHINE learning, DEEP learning, FEATURE selection, INTERNET security

A Hybrid Deep Learning-Powered SDN-Based Intrusion Detection Architecture for Cognitive IoT Security.

Autoři: Panse, Tejaswini Gaddam, Venugopal Manthina, Bhima Sankar a další

Zdroj: Engineering, Technology & Applied Science Research; Oct2025, Vol. 15 Issue 5, p27495-27501, 7p

Témata: INTERNET of things, DEEP learning, SOFTWARE-defined networking, DATA management, INTRUSION detection systems (Computer security), INTERNET security, STATISTICAL accuracy

Adaptive Deep Clustering And Outlier Aware Framework For Reducing False Alerts In Web-Based Intrusion Detection Systems.

Autoři: Rao, Parepalli Nageswara Radhika, K.

Zdroj: International Journal of Environmental Sciences (2229-7359); 2025 Special Issue, Vol. 11, p1350-1362, 13p

Témata: INTRUSION detection systems (Computer security), DEEP learning, CLOUD computing security measures, INTERNET security, FALSE alarms, OUTLIER detection, ARTIFICIAL intelligence

Velocity Paused Particle Swarm Optimization-based Intelligent Long Short-Term Memory Framework for Intrusion Detection System in Internet of Medical Things.

Autoři: Dash, Pandit Byomakesha Behera, H. S. Senapati, Manas Ranjan a další

Zdroj: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ). Oct2025, Vol. 50 Issue 19, p16167-16197. 31p.

Témata: *INTERNET of medical things, *INTRUSION detection systems (Computer security), *MACHINE learning, *PARTICLE swarm optimization, *DEEP learning, *ANOMALY detection (Computer security), *LONG short-term memory, *INTERNET security

Real-Time Hybrid Machine Learning-Based Next-Generation Intrusion Detection System for Edge Computing Networks.

Autoři: Kumar, Amit Kumar, Vivek Bhadauria, Abhay Pratap Singh

Zdroj: Turkish Journal of Engineering (TUJE); 2025, Vol. 9 Issue 3, p600-611, 12p

Témata: COMPUTER network traffic, CYBERTERRORISM, DENIAL of service attacks, FEATURE extraction, EDGE computing, INTRUSION detection systems (Computer security)

Leveraging Quantum Computing in Multiclassification Fusion to Enhance Network Intrusion Detection Performance.

Autoři: Liu, Shuiqing

Zdroj: SPIN (2010-3247); Dec2025, Vol. 15 Issue 4, p1-12, 12p

Témata: QUANTUM computing, INTRUSION detection systems (Computer security), ANOMALY detection (Computer security), MACHINE learning

A Scalable Two-Layer ML Framework for Real-Time IoT Botnet Intrusion Detection.

Autoři: Suryawanshi, Preeti Jagtap, Sonal

Zdroj: Lex Localis: Journal of Local Self-Government; 2025 Supplement, Vol. 23 Issue S4, p2139-2149, 11p

Témata: INTERNET of things, BOTNETS, INTERNET security, REAL-time computing, INTRUSION detection systems (Computer security), MACHINE learning

ScalaDetect-5G: Ultra High-Precision Highly Elastic Deep Intrusion Detection System for 5G Network.

Autoři: Chang, Shengjia Cui, Baojiang Feng, Shaocong

Zdroj: Computer Modeling in Engineering & Sciences (CMES); 2025, Vol. 144 Issue 3, p3805-3827, 23p

Témata: 5G networks, INTRUSION detection systems (Computer security), VIRTUAL networks, TRAFFIC monitoring, EDGE computing, DEEP learning, COMPUTER network security

A simulation-driven computational framework for adaptive energy-efficient optimization in machine learning-based intrusion detection systems.

Autoři: Ranpara, Ripal Alsalman, Osamah Kumar, Om Prakash a další

Zdroj: Scientific Reports; 4/18/2025, Vol. 15 Issue 1, p1-13, 13p

Témata: ARTIFICIAL intelligence, SUPPORT vector machines, MACHINE learning, RANDOM forest algorithms, EDGE computing, INTRUSION detection systems (Computer security)

Improving Fog Computing Security with Deep Learning.

Autoři: Khalil, Ali-Alridha Manaa, Mehdi Ebady

Zdroj: Engineering, Technology & Applied Science Research; Oct2025, Vol. 15 Issue 5, p28337-28342, 6p

Témata: DEEP learning, INTRUSION detection systems (Computer security), LONG short-term memory, INTERNET of things, EDGE computing, SECURITY management, COMPUTER network traffic

A Deep Learning-Based Intrusion Detection and PreventionSystem For Detecting and Preventing Denial-of-Service Attacks.

Autoři: pravallika, Chebolu lakshmi, G. Vijaya

Zdroj: International Scientific Journal of Engineering & Management; Sep2025, Vol. 4 Issue 9, p1-7, 7p

Témata: DENIAL of service attacks, DEEP learning, SECURITY systems, MACHINE learning, INTRUSION detection systems (Computer security), INTERNET security, ADAPTIVE computing systems, RECURRENT neural networks

End-to-end deep learning for smart maritime threat detection: an AE–CNN–LSTM-based approach.

Autoři: Anuja, R. Annrose, J.

Zdroj: Scientific Reports; 10/17/2025, Vol. 15 Issue 1, p1-26, 26p

Témata: INTRUSION detection systems (Computer security), INTERNET of things, REAL-time computing, DEEP learning, INTERNET security, MARITIME management

Unsupervised Machine Learning-Based Intrusion Detection in PROFINET Networks.

Autoři: Turcato, Afonso Celso Serpa Sestito, Guilherme Dias, Andre Luis a další

Zdroj: Journal of Control, Automation & Electrical Systems. Aug2025, Vol. 36 Issue 4, p766-777. 12p.

Témata: Artificial intelligence, Computer network traffic, Telecommunication systems, Machine learning, Feature extraction, Intrusion detection systems (Computer security)

A machine learning based CIDS model for intrusion detection to ensure security within cloud network

Autoři: Maurya Santosh Kumar Malik Suraj Kumar Neeraj a další

Zdroj: Yugoslav Journal of Operations Research, Vol 35, Iss 3, Pp 619-632 (2025)

Témata: cloud computing, intrusion detection, machine learning, cloud security, cloud migration, digital transformation, Management information systems, T58.6-58.62

Popis souboru: electronic resource

Relation: https://doaj.org/toc/0354-0243; https://doaj.org/toc/1820-743X

Přístupová URL adresa: https://doaj.org/article/320a37a6e2044696afea06539d7baa63