Výsledky vyhledávání - "Intrusion Detection System"

FL-MU: a benchmark dataset for federated intrusion detection in IoT networks

Autoři: Takhellambam, Linthoingambi Clinton, Urikhimbam Boby Hoque, Nazrul a další

Zdroj: IEEE Access. 13:191037-191064

Témata: Cybersecurity, Federated Learning, Internet of Things, Intrusion Detection System, IoT Dataset

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-246546
https://doi.org/10.1109/ACCESS.2025.3628066

Ruling the Unruly: Designing Effective, Low-Noise Network Intrusion Detection Rules for Security Operations Centers: Designing Effective, Low-Noise Network Intrusion Detection Rules for Security Operations Centers

Autoři: Koen T. W. Teuwen Tom Mulders Emmanuele Zambon a další

Zdroj: Proceedings of the 20th ACM Asia Conference on Computer and Communications Security. :1428-1441

Témata: Computer Science - Networking and Internet Architecture, Networking and Internet Architecture (cs.NI), FOS: Computer and information sciences, rechtvaardigheid en sterke instellingen, SDG 16 - Peace, Computer Science - Cryptography and Security, SDG 16 – Vrede, Security Operations Center (SOC), Network Intrusion Detection Rules, Network Intrusion Detection System (NIDS), Cryptography and Security (cs.CR), Justice and Strong Institutions

Přístupová URL adresa: http://arxiv.org/abs/2501.09808

The good, the bad, and the algorithm: The impact of generative AI on cybersecurity

Autoři: Coppolino, Luigi D'Antonio, Salvatore Mazzeo, Giovanni a další

Zdroj: Neurocomputing. 623

Témata: AI, Artificial intelligence, Generative adversarial network, Web security, Network security, Attack obfuscation, Intrusion detection system

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-211282
https://liu.diva-portal.org/smash/get/diva2:1934150/FULLTEXT01.pdf

Deep-IDS: A Real-Time Intrusion Detector for IoT Nodes Using Deep Learning

Autoři: Racherla, Sandeepkumar Sripathi, Prathyusha Faruqui, Nuruzzaman a další

Zdroj: IEEE Access. 12:63584-63597

Témata: Internet of Things, Long short term memory, Mathematical models, Intrusion detection, Logic gates, Recurrent neural networks, Real-time systems, Network security, Deep learning, intrusion-detection system (IDS), Internet of Things (IoT), LSTM, response mechanism, intrusion detection rate

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-66651
https://doi.org/10.1109/ACCESS.2024.3396461

Optimized Attention Induced Multi Head Convolutional Neural Network for Intrusion Detection Systems in Vehicular Ad Hoc Networks

Autoři: Nishu Gupta Ravishankar Malladi Satuluri Naganjaneyulu a další

Zdroj: IEEE Transactions on Intelligent Transportation Systems. 26:11957-11966

Témata: machine learning, sensor networks, intrusion detection system, Convolutional neural network, capuchin search optimization algorithm, vehicular ad hoc networks

On the Effect of Ruleset Tuning and Data Imbalance on Explainable Network Security Alert Classifications: A Case-Study on DeepCASE: a Case-Study on DeepCASE

Autoři: Teuwen, Koen T.W. Baggen, Sam Zambon, Emmanuele a další

Zdroj: 2025 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW). :16-29

Témata: Network Security Alerts, Networking and Internet Architecture (cs.NI), FOS: Computer and information sciences, rechtvaardigheid en sterke instellingen, SDG 16 - Peace, Intrusion Detection Ruleset Tuning, SDG 16 – Vrede, Cryptography and Security, Justice and Strong Institutions, Machine Learning (cs.LG), Machine Learning, Alert Reduction, Networking and Internet Architecture, Security Operations Center (SOC), Network Intrusion Detection Rules, Network Intrusion Detection System (NIDS), Cryptography and Security (cs.CR)

Přístupová URL adresa: http://arxiv.org/abs/2507.01571
https://research.tue.nl/en/publications/4b10b9ad-ce7b-4f4b-807c-f72cedc37637
https://doi.org/10.1109/EuroSPW67616.2025.00009

POSTER: SuriCap - A Measurement Platform to Study and Evaluate Intrusion Detection Rule Engineering

Autoři: Koen T. W. Teuwen Emmanuele Zambon Luca Allodi

Zdroj: Proceedings of the 20th ACM Asia Conference on Computer and Communications Security. :1818-1820

Témata: Security Operations Center (SOC), Network Intrusion Detection Rules, Network Intrusion Detection System (NIDS)

Dew-Cloud-Based Hierarchical Federated Learning for Intrusion Detection in IoMT

Autoři: Singh, Parminder Singh, Gurjot Kaur, Avinash a další

Zdroj: IEEE journal of biomedical and health informatics. 27(2):722-731

Témata: Medical services, Computational modeling, Intrusion detection, Training, Cloud computing, Medical diagnostic imaging, Servers, Dew computing, federated learning, internet of medical things (IoMT), intrusion detection system (IDS), machine learning

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-192523
https://liu.diva-portal.org/smash/get/diva2:1745254/FULLTEXT01.pdf

Interpretable and Adaptive Security Mechanism for Next-Gen Industrial Networks

Autoři: V. Lalitha A. Dhanasekhar Reddy R. R. Shantha Spandana a další

Zdroj: International Journal of Applied Engineering and Management Letters. :108-119

Témata: explainable artificial intelligence, Deep learning (DL), intrusion detection system (IDS), Industry 5.0, cyber-attacks, Voting Classifier

Signature and anomaly based intrusion detection system for secure IoTs and V2G communication

Autoři: Othman Alnasser Jalal Al Muhtadi Kashif Saleem a další

Zdroj: Alexandria Engineering Journal, Vol 125, Iss, Pp 424-440 (2025)

Témata: Internet of things, Behavioral detection, Intrusion detection system, Machine learning, SB detection, Smart grid, TA1-2040, Engineering (General). Civil engineering (General)

Přístupová URL adresa: https://doaj.org/article/700c891d20d041e0b862559cad9f880b

Supervised Learning Approach for Intrusion Detection in Unbalanced Network Traffic

Autoři: Zeeshan Ali null Adnan Akram null Naeem Aslam a další

Zdroj: VFAST Transactions on Software Engineering. 13:01-12

Témata: Intrusion Detection System, Machine Learning, Cyber Security, Artificial Intelligence, Support Vector Machine, Unbalanced Dataset, Synthetic Minority Oversampling Technique

Popis souboru: application/pdf

Přístupová URL adresa: https://hdl.handle.net/11697/268759
https://doi.org/10.21015/vtse.v13i2.2116

Advanced network security with an integrated trust-based intrusion detection system for routing protocol

Autoři: Ajay Kumar Ishan Budhiraja Deepak Garg a další

Zdroj: Alexandria Engineering Journal, Vol 120, Iss, Pp 378-390 (2025)

Témata: IoT, Energy efficiency, Routing protocol (RPL), Malicious node detection, Low-power lossy networks (LLN), Trust-based intrusion detection system (TIDSRPL), TA1-2040, Engineering (General). Civil engineering (General)

Přístupová URL adresa: https://doaj.org/article/c3a9467b661e40e69df19d40d662ddf8

Enhancing cybersecurity in communication networks using machine learning and AI: A Case Study of 5G Infrastructure Security

Autoři: Okolo, Joy Nnenna Agboola, Samuel Olaoye Adeniji, Samuel A a další

Zdroj: World Journal of Advanced Research and Reviews. 26:1210-1219

Témata: Cybersecurity, Machine Learning/AI, Data Privacy, 5g Networks, Threat Detection, Intrusion Detection System

Robust hierarchical anomaly detection using feature impact in IoT networks

Autoři: Joohong Rheey Hyunggon Park

Zdroj: ICT Express, Vol 11, Iss 2, Pp 358-363 (2025)

Témata: Intrusion detection system, Adversarial attack, Anomaly detection, Variational autoencoder, Information technology, Feature impact, T58.5-58.64

Přístupová URL adresa: https://doaj.org/article/a95d02b4bbfa4b02aca72b4d2cbc1a1e

Development of Various Stacking Ensemble-Based HIDS Using ADFA Datasets

Autoři: Hami Satilmiş Sedat Akleylek Zaliha Yüce Tok

Zdroj: IEEE Open Journal of the Communications Society, Vol 6, Pp 1170-1189 (2025)

Témata: Machine Learning, host-based intrusion detection system, machine learning, information security, Information Security, Intrusion detection system, Telecommunication, TK5101-6720, Host-based Intrusion Detection System, Transportation and communications, Intrusion Detection System, HE1-9990

Přístupová URL adresa: https://doaj.org/article/7246b738263a4a46ac43ffce81cf226a
https://hdl.handle.net/20.500.12713/6676

Generative AI in Intrusion Detection Systems for Internet of Things: A Systematic Literature Review: A Systematic Literature Review

Autoři: Zhe Deng Ants Torim Sadok Ben Yahia a další

Zdroj: IEEE Open Journal of the Communications Society, Vol 6, Pp 4689-4717 (2025)

Témata: Generative AI (GenAI), Generative Adversarial Network (GAN), Systematic Literature Review (SLR), systematic literature review (SLR), intrusion detection system (IDS), Telecommunication, TK5101-6720, Intrusion Detection System (IDS), generative adversarial network (GAN), Transportation and communications, Internet of Things (IoT), HE1-9990

Přístupová URL adresa: https://doaj.org/article/7d837666c7444f2cb8a575f7ce9468b1
https://portal.findresearcher.sdu.dk/da/publications/c87e9f3d-0810-4eb0-8e5b-095ad4ce8a3f
https://doi.org/10.1109/OJCOMS.2025.3573194

Quantum Chameleon Swarm Optimizer-Based Feature Selection with Deep Learning for Intrusion Detection in Blockchain-Enabled IoT Environments

Autoři: Subramaniam, Usha Thiruvenkatasamy, Sudhakar Alabdulkreem, Eatedal a další

Zdroj: Tehnicki vjesnik - Technical Gazette. 32

Témata: Blockchain, Deep learning, Intrusion Detection System (IDS), Quantum Chameleon Swarm Optimizer (QCSO), Internet of Things (IoT)

Popis souboru: application/pdf

Přístupová URL adresa: https://hrcak.srce.hr/335063
https://doi.org/10.17559/tv-20241130002158

Hybrid Ensemble Learning Sistem Keamanan Jaringan Untuk Meningkatkan Performa Deteksi Anomali

Autoři: Irawan, Rony Heri Irawan, Rony Heri Irawan Nico Adi Saputra a další

Zdroj: Nusantara of Engineering (NOE); Vol. 8 No. 02 (2025): Volume 8 Nomor 2-2025; 361 – 369
Nusantara of Engineering (NOE); Vol 8 No 02 (2025): Volume 8 Nomor 2-2025; 361 – 369

Témata: Deteksi Anomali, Hybrid Ensemble, Keamanan Siber, Serangan Siber, Network Intrusion Detection Sistem, Anomaly Detection, Cyber Attack, Cyber Security, Hybrid Ensemble, Network Intrusion Detection System

Popis souboru: application/pdf

Přístupová URL adresa: https://ojs.unpkediri.ac.id/index.php/noe/article/view/25617

Stacking Ensemble Learning Model for Intrusion Detection in Electrical Substation

Autoři: Alam, Mohammad Mahruf Pribadi, Feddy Setio Rizky Ajie Aprilianto a další

Zdroj: Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi); Vol 9 No 5 (2025): October 2025 (issue in progress); 1030-1037

Témata: machine learning, electrical substations, intrusion detection system, stacking ensemble learning

Popis souboru: application/pdf

Přístupová URL adresa: http://jurnal.iaii.or.id/index.php/RESTI/article/view/6502

METHODOLOGY FOR USING AN ENSEMBLE CLASSIFIER TO OPTIMIZE THE CRITICAL INFRASTRUCTURE INTRUSION DETECTION SYSTEM

Zdroj: Science-based technologies; Vol. 67 No. 3 (2025); 295-308
Наукоемкие технологии; Том 67 № 3 (2025); 295-308
Наукоємні технології; Том 67 № 3 (2025); 295-308

Témata: кібератака, J48, критична інфраструктура, Наївний Баєс, cyber resilience, PART, JRip, MLP, IBK, система виявлення вторгнень, Naive Bayes, critical infrastructure, cyberattack, bayesian network, intrusion detection system, баєсівська мережа, критична інфраструктура, класифікатор, класифікатор, classifier

Popis souboru: application/pdf

Přístupová URL adresa: https://jrnl.nau.edu.ua/index.php/SBT/article/view/20347