Search Results - Anomaly detection and rules-based intrusion detection techniques

Anomaly-based Network Intrusion Detection System using Deep Intelligent Technique

Authors: Sardar KH. Hassan Muhammadamin A. Daneshwar

Source: Polytechnic, Vol 12, Iss 2, Pp 100-113 (2023)

Subject Terms: intrusion detection system, anomaly detection, intelligent technique, cyber-attack, deep learning, machine learning, Science

File Description: electronic resource

Relation: https://polytechnic-journal.epu.edu.iq/home/vol12/iss2/11; https://doaj.org/toc/2707-7799

Access URL: https://doaj.org/article/55e10131962147549ff7465d86f598ff

A Survey Paper based: Network Anomaly Detection for IoT Systems in Smart City using Machine Learning Approach.

Authors: Dagli, Mikin K. Padheriya, Harsha Devani, Mayank et al.

Source: African Journal of Biomedical Research; 2025 Supplement, Vol. 28, p1641-1651, 11p

Subject Terms: INTERNET of things, SMART cities, INTRUSION detection systems (Computer security), MACHINE learning, ANOMALY detection (Computer security), COMPUTER network security

Advanced AI-Powered Intrusion Detection Systems in Cybersecurity Protocols for Network Protection.

Authors: Rai, Hari Mohan Pal, Aditya Ergash o'g'li, Rashidov Akbar et al.

Source: Procedia Computer Science. 2025, Vol. 259, p140-149. 10p.

Subject Terms: Artificial intelligence, Digital technology, Recurrent neural networks, Convolutional neural networks, Machine learning, Intrusion detection systems (Computer security)

Enhancing anomaly detection techniques for emerging threats

Authors: Mills, Ryan

Access URL: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.863178

A Hierarchical Detection and Response System to Enhance Security Against Lethal Cyber-Attacks in UAV Networks

Authors: Sedjelmaci, Hichem Senouci, Sidi Mohammed Ansari, Nirwan et al.

Contributors: Sedjelmaci, Hichem Senouci, Sidi Mohammed Ansari, Nirwan et al.

Source: IEEE Transactions on Systems, Man, and Cybernetics: Systems. 48:1594-1606

Subject Terms: Ad hoc networks, Monitoring, [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], UAV, 02 engineering and technology, IDS, Anomaly detection and rules-based intrusion detection techniques, Mobile communication, Unmanned aerial vehicles, 0202 electrical engineering, electronic engineering, information engineering, intrusion detection system, Intrusion detection, cyber-attacks, [INFO.INFO-CR] Computer Science [cs]/Cryptography and Security [cs.CR]

File Description: application/pdf

Access URL: https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01557953/file/HSSM.pdf
https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01557953
https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01557953/document
http://ieeexplore.ieee.org/document/7890467/
https://ieeexplore.ieee.org/document/7890467/
https://researchwith.njit.edu/en/publications/a-hierarchical-detection-and-response-system-to-enhance-security-
https://dblp.uni-trier.de/db/journals/tsmc/tsmc48.html#SedjelmaciSA18
https://ube.hal.science/hal-01557953v1/document
https://doi.org/10.1109/TSMC.2017.2681698
https://ube.hal.science/hal-01557953v1

Intrusion detection in cloud computing based on time series anomalies utilizing machine learning.

Authors: Al-Ghuwairi, Abdel-Rahman Sharrab, Yousef Al-Fraihat, Dimah et al.

Source: Journal of Cloud Computing (2192-113X); 8/29/2023, Vol. 12 Issue 1, p1-17, 17p

Subject Terms: INTRUSION detection systems (Computer security), CLOUD computing, TIME series analysis, MACHINE learning, CLOUD computing security measures, STANDARD deviations, FEATURE selection

Unveiling the IoT's dark corners: anomaly detection enhanced by ensemble modelling.

Authors: Jose, Jisha Judith, J. E.

Source: Automatika: Journal for Control, Measurement, Electronics, Computing & Communications. Apr2024, Vol. 65 Issue 2, p584-596. 13p.

Subject Terms: Particle swarm optimization, Ensemble learning, Intrusion detection systems (Computer security), Machine learning, Optimization algorithms, Internet of things, Feature extraction

Anomaly Detection with Windows Event Logs: A comparative study between traditional and ML based approaches

Authors: Husselman, Layla

Source: Husselman, Layla. Anomaly Detection with Windows Event Logs: A comparative study between traditional and ML based approaches. 2024, University of Zurich, Faculty of Economics.

Index Terms: Department of Informatics, 000 Computer science, knowledge & systems, Master's Thesis, NonPeerReviewed, info:eu-repo/semantics/masterThesis, info:eu-repo/semantics/publishedVersion

URL: https://www.zora.uzh.ch/id/eprint/264648/
https://www.zora.uzh.ch/id/eprint/264648

AI-DRIVEN SECURITY FRAMEWORK FOR ENHANCED THREAT DETECTION IN MOBILE SATELLITE NETWORKS.

Authors: Mythili, S. Nidhya, R. Kumar, R. Arun

Source: ICTACT Journal on Communication Technology. Mar2025, Vol. 16 Issue 1, p3443-3448. 6p.

Subject Terms: Satellite telemetry, Reinforcement learning, Artificial intelligence, Deep learning, Cyberterrorism, Intrusion detection systems (Computer security)

Anomaly‐based intrusion detection systems: The requirements, methods, measurements, and datasets.

Authors: Hajj, Suzan El Sibai, Rayane Bou Abdo, Jacques et al.

Source: Transactions on Emerging Telecommunications Technologies; Apr2021, Vol. 32 Issue 4, p1-36, 36p

Subject Terms: INTRUSION detection systems (Computer security), COMPUTER networks, CYBERTERRORISM, COMPUTER network security, NETWORK PC (Computer), ANOMALY detection (Computer security)

Lightweight Photoplethysmography Quality Assessment for Real-time IoT-based Health Monitoring using Unsupervised Anomaly Detection.

Authors: Mahmoudzadeh, Aysan Azimi, Iman Rahmani, Amir M. et al.

Source: Procedia Computer Science. 2021, Vol. 184, p140-147. 8p.

Subject Terms: Anomaly detection (Computer security), Photoplethysmography, Oxygen in the blood, Heart beat, Intrusion detection systems (Computer security), Early diagnosis

Machine Learning-Based Adaptive Synthetic Sampling Technique for Intrusion Detection.

Authors: Zakariah, Mohammed AlQahtani, Salman A. Al-Rakhami, Mabrook S.

Source: Applied Sciences (2076-3417); Jun2023, Vol. 13 Issue 11, p6504, 31p

Subject Terms: INTRUSION detection systems (Computer security), SHORT-term memory, LONG-term memory, COMPUTER network security, SAMPLING (Process), DATA encryption

Iot Threat Mitigation: Leveraging Deep Learning For Intrusion Detection.

Authors: Suresh Babu, Ch. Satya Sai Hruday, Boppa Sri Venkata Sai Krishna, Jonnala Veera et al.

Source: Journal of Advanced Zoology. 2024, Vol. 45 Issue 3, p801-810. 10p.

Unveiling the IoT's dark corners: anomaly detection enhanced by ensemble modelling

Authors: Jisha Jose J. E. Judith

Source: Automatika, Vol 65, Iss 2, Pp 584-596 (2024)

Subject Terms: Harris-Hawks optimizer, particle swarm optimizer, logistic regression, Whale-Pearson optimization algorithm, Naïve Bayes classifier, Control engineering systems. Automatic machinery (General), TJ212-225, Automation, T59.5

File Description: electronic resource

Relation: https://doaj.org/toc/0005-1144; https://doaj.org/toc/1848-3380

Access URL: https://doaj.org/article/302ba1110acc4ac2a4c1513ee8d20f2c

Enhancing Network Security through Viper Optimization Algorithm with Deep Learning Assisted Network Security System in Biomedical records.

Authors: Shuriya, B. Santhamani, V. Shanmugam, V. Balaji et al.

Source: Frontiers in Health Informatics; 2024, Vol. 13 Issue 8, p1747-1761, 15p

Subject Terms: LONG short-term memory, OPTIMIZATION algorithms, MACHINE learning, DEEP learning, FEATURE selection, INTRUSION detection systems (Computer security)

Current Status and Challenges and Future Trends of Deep Learning-Based Intrusion Detection Models.

Authors: Wu, Yuqiang Zou, Bailin Cao, Yifei

Source: Journal of Imaging; Oct2024, Vol. 10 Issue 10, p254, 25p

Information-Theoretic Framework for Network Anomaly Detection: Enabling online application of statistical learning models to high-speed traffic

Additional Titles: ITF-NAD : Ett informationsteoretiskt ramverk för realtidsdetektering av nätverksanomalier

Authors: Damour, Gabriel

Index Terms: Network Security, Distributed Denial of Service, DDoS, DoS, Anomaly Detection, Intrusion Detection, Attack Source Identification, Information Theory, Statistical Learnin, Nätverkssäkerhet, Distribuerad Överbelastningsattack, Anomalidetektering, Intrångsdetektering, Identifiering av Attackkällor, Informationsteori, Maskininlärning, Probability Theory and Statistics, Sannolikhetsteori och statistik, Student thesis, info:eu-repo/semantics/bachelorThesis, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252560
TRITA-SCI-GRU ; 2019:88

End-To-End Anomaly Detection for Identifying Malicious Cyber Behavior through NLP-Based Log Embeddings

Authors: Golczynski, Andrew Emanuello, John A.

Index Terms: Computer Science - Artificial Intelligence, Computer Science - Cryptography and Security, text

URL: http://arxiv.org/abs/2108.12276

Enhancing Intrusion Detection in Mobile Ad-Hoc Networks: Comparative Study of Behavioral IDSs

Authors: Taher M. Jelleli Adel M. Alimi

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Authors: Yahav Biran George Collins Borky John M et al.

Source: Advances in Science, Technology and Engineering Systems Journal. 2:553-561

Subject Terms: 0103 physical sciences, 01 natural sciences