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

A Hierarchical Detection and Response System to Enhance Security Against Lethal Cyber-Attacks in UAV Networks by 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 by 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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DoS attack mitigation using rule based and anomaly based techniques in software defined networking by Ombase, Prajakta M., Kulkarni, Nayana P., Bagade, Sudhir T., Mhaisgawali, Amrapali V.

“… For detection and mitigation of DoS attack we used two techniques-1) Rule based approach using Snort tool 2…”
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A Combination Techniques of Intrusion Prevention and Detection for Cloud Computing by 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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ANOMALY DETECTION IN ZIGBEE-BASED IOT USING SECURE AND EFFICIENT DATA COLLECTION by 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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Intrusion detection system based on new association rule mining model by Tian-rui Li, Wu-ming Pan

“… other. This research focuses on anomaly detection techniques for intrusion detection. Presently, several approaches based on classical association rule mining have been proposed for intrusion detection…”
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Intrusion detection and attack classifier based on three techniques : a comparative study by Brifcani, Adnan Muhsin Abd al-Aziz, Isa, Adil Sabri

“… The purpose of this work is to development, implement and evaluate an anomaly off-line based intrusion detection system using three techniques…”
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Fuzzy Data Mining and Genetic Algorithms Applied to Intrusion Detection by Salome, Jacinth, Ravishankar, Ramya

“… This system combines both anomaly based intrusion detection using fuzzy data mining techniques and misuse detection using traditional rule-based expert system techniques…”
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Network Intrusion Detection System Using Neural Networks Approach in Networked Biometrics System by Mgabile, Tinny

“… The research community has proposed various methods to build a reliable network intrusion detection system to detect unauthorised activities in networked systems…”
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Contrast Mining in Large Class Imbalance Data by Li, Jinjiu

“… in applications such as fraud/intrusion detection, medical diagnosis/monitoring, and risk management…”
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A Study on Distributed Learning for Attack Detection in Wireless Sensor Networks by Savage, Eric Noah, Popillo, Cameron, Zhou, Ruolin

“…Wireless Sensor Networks (WSNs) have become a cornerstone in the implementation of Structural Health Monitoring (SHM) systems due to their versatility, energy…”
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Advanced AI-Powered Intrusion Detection Systems in Cybersecurity Protocols for Network Protection by 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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Advancements in Machine Learning for Intrusion Detection in Cloud Environments by Sharma, Shashank

“… Intrusion detection systems (IDS) are essential in identifying and mitigating potential threats in cloud environments…”
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ENHANCING NETWORK INTRUSION DETECTION THROUGH AN EFFECTIVE COMBINATION OF TREE ALGORITHMS by Kumar, Avinash

“… By combining the NB Tree and random trees techniques with the total rule program, 89.24% precision for detection was obtained…”
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NIDS-Network Intrusion Detection System Based on Deep and Machine Learning Frameworks with CICIDS2018 using Cloud Computing by Bharati, Manisha Prakash, Tamane, Sharvari

“… ML techniques enable us to develop IDS-Intrusion Detection Systems focused upon finding of anomalies rather than detection of misuse…”
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Adaptive weighted kernel support vector machine-based circle search approach for intrusion detection in IoT environments by Geetha, C., Johnson, Shiny Duela, Oliver, A. Sheryl, Lekha, D.

“… IoT systems are vulnerable to attacks due to the lack of basic security protocols. An intrusion detection system (IDS…”
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Attacks against Rplin Iot: A Survey by Stephen, A, Arockiam, L

“…] analyzed the existing techniques to detect sinkhole attack in wireless sensor network such as rule based, anomaly based detection, statistical method, hybrid based…”
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Network security: mapping intrusion & anomaly detection to very-high-degree polynomials by Garcia, R.C.

“…Intrusion and anomaly detection involves various techniques for rule-based as well as soft-computing systems…”
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Intrusion detection for wireless networks by Liu, Yu

“… With resource constraints and dynamic network topologies in mind, a novel hybrid anomaly intrusion detection approach is proposed, based on two data mining techniques…”
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NSL-KDD Dataset Analysis: A Machine Learning Implementation to Detect Intrusions in the Computer Network by Mishra, Nilamadhab, Mishra, Sarojananda

“… This research advocates for using machine learning techniques to enhance intrusion detection, moving beyond traditional rule-based systems…”
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