Suchergebnisse - Anomaly detection and rules-based intrusion detection techniques

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

“… 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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A ZigBee Intrusion Detection System for IoT using Secure and Efficient Data Collection von Sadikin, Fal, Deursen, Ton van, Kumar, Sandeep

“… 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 von Alturfi, Sabah M., Muhsen, Dena Kadhim, Mohammed, Mohammed A., Aziz, Israa T., Aljshamee, Mustafa

“… 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) von Abdulganiyu, Oluwadamilare Harazeem, Ait Tchakoucht, Taha, Saheed, Yakub Kayode

“… 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 von Hassan, Sardar KH, Daneshwar, Muhammadamin A.

“… 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 von Tsang, Chi-Ho, Kwong, Sam, Wang, Hanli

“… 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 von Sadikin, Fal, Wiranda, Nuruddin

“… 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 von Rai, Hari Mohan, Pal, Aditya, Ergash o’g’li, Rashidov Akbar, Kholmirzokhon Ugli, Bobokhonov Akhmadkhon, Shokirovich, Yarmatov Sherzojon

“… 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 von Uszko, Krzysztof, Kasprzyk, Maciej, Natkaniec, Marek, Chołda, Piotr

“… 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 von Mitchell, Robert, Ing-Ray Chen

“… 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 von Jose, Jisha, Judith, J. E.

“… 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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Rule‐Based Anomaly Detection Technique Using Roaming Honeypots for Wireless Sensor Networks von Gowri, Muthukrishnan, Paramasivan, Balasubramanian

“… To overcome these issues, in this paper, we propose a rule‐based anomaly detection technique using roaming honeypots …”
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A multinomial logistic regression modeling approach for anomaly intrusion detection von Wang, Yun

“… 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 von Bai, V. Sujatha, Punithavalli, M.

“… 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 von S, Migara H. M., B, Sandakelum M. D., N, Maduranga D. B. W., C, Kumara D. D. K., Fernando, Harinda, Abeywardena, Kavinga

“… 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 von Namrita Gummadi, Anna, Abdelrahim, Elsaid Md, Gad, Ibrahim, Abdallah, Mustafa

“… ) methods, systematic studies evaluating rule-based XAI approaches for IoT anomaly detection remain limited …”
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Field Size-based Packet Header Anomaly Detection with Rule-Based Normal Profile Updating for Intrusion Detection von S, Vishnu Prasad, B, Malarkodi, KG, Michael Kutty

“… Packet Header Anomaly Detection, or PHAD, is a technique for detecting network intrusion …”
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Anomaly-Based Network Intrusion Detection Using Hybrid CNN, Bi-LSTM Deep Learning Techniques von Akkepalli, Srinivas, Sagar, K

“… 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 von Alzaylaee, Mohammed K.

“… ) 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 von Saad, Redhwan M. A., Anbar, Mohammed, Manickam, Selvakumar

“… Such vulnerabilities include the lack of exchange message authentication of NDP. Attacks targeting ICMPv6 protocol display ICMPv6 anomalies …”
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