Search Results - (( using simulation method algorithm ) OR ( attack detection method algorithm ))
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An evaluation on KNN-SVM algorithm for detection and prediction of DDoS attack
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Book Section -
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Detection of black hole attacks in mobile ad hoc networks via HSA-CBDS method
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Book Chapter -
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Intrusion Detection in Mobile Ad Hoc Networks Using Transductive Machine Learning Techniques
Published 2011“…In the past decades, machine learning methods have been successfully used in several intrusion detection methods because of their ability to discover and detect novel attacks. …”
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Thesis -
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A new machine learning-based hybrid intrusion detection system and intelligent routing algorithm for MPLS network
Published 2023“…The dataset development for both algorithms is carried out via simulations in Graphical Network Simulator 3 (GNS3). …”
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Secure and Energy-Efficient Data Aggregation Method Based on an Access Control Model
Published 2019“…To ensure the reliability of our proposed method, we simulate two well-known attacks, called Sybil and sinkhole attacks. …”
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Article -
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Modelling of intelligent intrusion detection system: making a case for snort
Published 2018“…Hence, this study proposes a method for early detection of an intrusion by using Snort software. …”
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Proceeding Paper -
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Application of Simon encryption algorithm for data transmission between sensor nodes in IoT environment
Published 2024“…Although there are many methods of ensuring network security in IoT, such as using encryption, firewalls, and intrusion detection systems, the issue of security is still not been fully solved. …”
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Proceeding Paper -
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Snort-based smart and swift intrusion detection system
Published 2018“…Methods/Statistical Analysis: The features are extracted using back-propagation algorithm. …”
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A controller-agnostic random oracle based intrusion detection method in software defined networks / Adnan
Published 2016“…To validate our proposed approach, we also carried simulation using a publicly available benchmark data-set with K-fold cross validation to exhibit the performance of the proposed method. …”
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Industrial datasets with ICS testbed and attack detection using machine learning techniques
Published 2021“…The decision tree (DT) ML technique is optimized with pruning method which provides an attack detection accuracy of 96.5%. …”
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Enhancement of network security by use machine learning
Published 2019“…This method uses many layers to compute or process the data. …”
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An efficient attack detection for Intrusion Detection System (IDS) in internet of medical things smart environment with deep learning algorithm
Published 2023“…Therefore, an intrusion detection method for attacking and detecting anomalies in an IoT system must be enhanced. …”
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The summer heat of cryptojacking season : Detecting cryptojacking using heatmap and fuzzy
Published 2022“…We utilised The Fuzzy Lattice Reasoning (FLR) classifier for classification algorithms in machine learning. This experiment utilised actual cryptojacking samples and achieved a 100 percent detection accuracy rate in simulation.…”
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Conference or Workshop Item -
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A comparative study between deep learning algorithm and bayesian network on Advanced Persistent Threat (APT) attack detection
Published 2021“…This means that Multilayer Perceptron algorithm can detect APT attack more accurately. …”
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Phishing attack detection using machine learning method
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Undergraduates Project Papers -
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Wormhole attack detection mechanism in mobile ad hoc network using neighborhood information and path tracing algorithm
Published 2015“…Path Tracing (PT) Algorithm was proposed to detect and prevent exposed wormhole attacks in MANET. …”
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Thesis -
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Early detection and mitigation of DDoS attacks in software defined networks
Published 2018“…To detect and mitigate this attack at its early stages, an entropy-based DDoS attack detection and mitigation algorithm was proposed. …”
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A comparative study between deep learning algorithm and bayesian network on Advanced Persistent Threat (APT) attack detection
Published 2021“…This means that Multilayer Perceptron algorithm can detect APT attack more accurately. …”
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Incremental learning for large-scale stream data and its application to cybersecurity
Published 2015“…Using this method, the learning time is shorten, and thus, the DDoS backscatter can be detected fast. …”
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