Výsledky vyhľadávania - Anomaly detection and rules-based intrusion detection techniques

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    A Hierarchical Detection and Response System to Enhance Security Against Lethal Cyber-Attacks in UAV Networks Autor Sedjelmaci, Hichem, Senouci, Sidi Mohammed, Ansari, Nirwan

    ISSN: 2168-2216, 2168-2232
    Vydavateľské údaje: New York IEEE 01.09.2018
    “… In this paper, we design and implement a novel intrusion detection and response scheme, which operates at the UAV and ground station levels, to detect malicious anomalies that threaten the network…”
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    Journal Article
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    A ZigBee Intrusion Detection System for IoT using Secure and Efficient Data Collection Autor Sadikin, Fal, Deursen, Ton van, Kumar, Sandeep

    ISSN: 2542-6605, 2542-6605
    Vydavateľské údaje: Elsevier B.V 01.12.2020
    “… We introduce a novel hybrid Intrusion Detection System (IDS) by merging rule-based intrusion detection and machine learning-based anomaly detection…”
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    A Combination Techniques of Intrusion Prevention and Detection for Cloud Computing Autor Alturfi, Sabah M., Muhsen, Dena Kadhim, Mohammed, Mohammed A., Aziz, Israa T., Aljshamee, Mustafa

    ISSN: 1742-6588, 1742-6596
    Vydavateľské údaje: Bristol IOP Publishing 01.02.2021
    Vydané v Journal of physics. Conference series (01.02.2021)
    “… To this end, we propose the Integrated Intrusion Prevention and Detection System (IIPDS) to prevent and detect different types of attacks to the infrastructure…”
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    A systematic literature review for network intrusion detection system (IDS) Autor Abdulganiyu, Oluwadamilare Harazeem, Ait Tchakoucht, Taha, Saheed, Yakub Kayode

    ISSN: 1615-5262, 1615-5270
    Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2023
    “… of the systems, and also affect the confidentiality of the data. To counter these possible attacks, intrusion detection systems (IDSs…”
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    Anomaly-based Network Intrusion Detection System using Deep Intelligent Technique Autor Hassan, Sardar KH, Daneshwar, Muhammadamin A.

    ISSN: 2313-5727, 2707-7799
    Vydavateľské údaje: Erbil Polytechnic University 01.09.2023
    Vydané v Polytechnic Journal (01.09.2023)
    “… Traditional signature-based intrusion detection systems and security solutions by matching rule-based mechanism and prior knowledge are insufficient of fully protecting computer networks against novel attacks…”
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    Genetic-fuzzy rule mining approach and evaluation of feature selection techniques for anomaly intrusion detection Autor Tsang, Chi-Ho, Kwong, Sam, Wang, Hanli

    ISSN: 0031-3203, 1873-5142
    Vydavateľské údaje: Oxford Elsevier Ltd 01.09.2007
    Vydané v Pattern recognition (01.09.2007)
    “… In this paper, we present a novel intrusion detection approach to extract both accurate and interpretable fuzzy…”
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    ANOMALY DETECTION IN ZIGBEE-BASED IOT USING SECURE AND EFFICIENT DATA COLLECTION Autor Sadikin, Fal, Wiranda, Nuruddin

    ISSN: 2527-5399, 2528-2514
    Vydavateľské údaje: 30.04.2023
    “… The researchers introduced a hybrid Intrusion Detection System (IDS), combining rule-based intrusion detection and machine learning-based anomaly detection…”
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    Advanced AI-Powered Intrusion Detection Systems in Cybersecurity Protocols for Network Protection Autor Rai, Hari Mohan, Pal, Aditya, Ergash o’g’li, Rashidov Akbar, Kholmirzokhon Ugli, Bobokhonov Akhmadkhon, Shokirovich, Yarmatov Sherzojon

    ISSN: 1877-0509, 1877-0509
    Vydavateľské údaje: Elsevier B.V 2025
    Vydané v Procedia computer science (2025)
    “…Conventional rule-based network intrusion detection systems (NIDS) find it difficult to remain with the increasing complexity of cyber-attacks…”
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    Rule-Based System with Machine Learning Support for Detecting Anomalies in 5G WLANs Autor Uszko, Krzysztof, Kasprzyk, Maciej, Natkaniec, Marek, Chołda, Piotr

    ISSN: 2079-9292, 2079-9292
    Vydavateľské údaje: Basel MDPI AG 23.05.2023
    Vydané v Electronics (Basel) (23.05.2023)
    “… The use of rule-based detection establishes a strong basis for the identification of recognized threats, whereas the additional implementation of machine learning models enables the detection of new…”
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    Behavior-Rule Based Intrusion Detection Systems for Safety Critical Smart Grid Applications Autor Mitchell, Robert, Ing-Ray Chen

    ISSN: 1949-3053, 1949-3061
    Vydavateľské údaje: IEEE 01.09.2013
    Vydané v IEEE transactions on smart grid (01.09.2013)
    “… Using HEs, DAPs and SEMs as examples, it is demonstrated that a behavior-rule based intrusion detection technique can effectively trade false positives for a high detection probability to cope…”
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    Unveiling the IoT's dark corners: anomaly detection enhanced by ensemble modelling Autor Jose, Jisha, Judith, J. E.

    ISSN: 0005-1144, 1848-3380
    Vydavateľské údaje: Ljubljana Taylor & Francis Ltd 02.04.2024
    Vydané v Automatika (02.04.2024)
    “…The growing Internet of Things (IoT) landscape requires robust security; traditional rule-based systems are insufficient, driving the integration of machine learning (ML…”
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    Journal Article Paper
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    RuleBased Anomaly Detection Technique Using Roaming Honeypots for Wireless Sensor Networks Autor Gowri, Muthukrishnan, Paramasivan, Balasubramanian

    ISSN: 1225-6463, 2233-7326
    Vydavateľské údaje: Electronics and Telecommunications Research Institute (ETRI) 01.12.2016
    Vydané v ETRI journal (01.12.2016)
    “… To overcome these issues, in this paper, we propose a rulebased anomaly detection technique using roaming honeypots…”
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    A multinomial logistic regression modeling approach for anomaly intrusion detection Autor Wang, Yun

    ISSN: 0167-4048, 1872-6208
    Vydavateľské údaje: Elsevier Ltd 01.11.2005
    Vydané v Computers & security (01.11.2005)
    “…Although researchers have long studied using statistical modeling techniques to detect anomaly intrusion and profile user behavior, the feasibility of applying multinomial logistic regression modeling…”
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    Leveraging feature subset selection with deer hunting optimizer based deep learning for anomaly detection in secure cloud environment Autor Bai, V. Sujatha, Punithavalli, M.

    ISSN: 1573-7721, 1380-7501, 1573-7721
    Vydavateľské údaje: New York Springer US 01.07.2024
    Vydané v Multimedia tools and applications (01.07.2024)
    “… Firewalls and typical rule-based security protection approaches could not be adequate for protecting user information in cloud environments…”
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    A Deep Learning-Based Dual-Model Framework for Real-Time Malware and Network Anomaly Detection with MITRE ATT&CK Integration Autor S, Migara H. M., B, Sandakelum M. D., N, Maduranga D. B. W., C, Kumara D. D. K., Fernando, Harinda, Abeywardena, Kavinga

    ISSN: 2158-107X, 2156-5570
    Vydavateľské údaje: West Yorkshire Science and Information (SAI) Organization Limited 2025
    “… not be detected using traditional detection tools. Static cybersecurity tools, which are traditional, often fail to deal with dynamic and hitherto unseen attacks, including signature-based antivirus systems and rule-based intrusion detection…”
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    E-RXAI-IoT: A Systematic Evaluation Framework of Rule-Based XAI Methods for Anomaly Detection in IoT Systems Autor Namrita Gummadi, Anna, Abdelrahim, Elsaid Md, Gad, Ibrahim, Abdallah, Mustafa

    ISSN: 2169-3536, 2169-3536
    Vydavateľské údaje: Piscataway IEEE 01.01.2025
    Vydané v IEEE access (01.01.2025)
    “…) methods, systematic studies evaluating rule-based XAI approaches for IoT anomaly detection remain limited…”
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    Anomaly-Based Network Intrusion Detection Using Hybrid CNN, Bi-LSTM Deep Learning Techniques Autor Akkepalli, Srinivas, Sagar, K

    Vydavateľské údaje: IEEE 16.05.2024
    “… While machine learning (ML) algorithms and conventional known rules-based or signaturebased methods for detecting anomalies have been employed, these approaches are only effective in detecting point anomalies, cannot recognize…”
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    Enhancing Cybersecurity Through Artificial Intelligence: A Novel Approach to Intrusion Detection Autor Alzaylaee, Mohammed K.

    ISSN: 2158-107X, 2156-5570
    Vydavateľské údaje: West Yorkshire Science and Information (SAI) Organization Limited 2025
    “…) to protect critical network infrastructure. Traditional signature-based and rule-based IDS face challenges in identifying new and evolving attacks, leading organizations to adopt AI-driven detection solutions…”
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    Rule-based detection technique for ICMPv6 anomalous behaviour Autor Saad, Redhwan M. A., Anbar, Mohammed, Manickam, Selvakumar

    ISSN: 0941-0643, 1433-3058
    Vydavateľské údaje: London Springer London 01.12.2018
    Vydané v Neural computing & applications (01.12.2018)
    “… Such vulnerabilities include the lack of exchange message authentication of NDP. Attacks targeting ICMPv6 protocol display ICMPv6 anomalies…”
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