Search Results - (( model validation method algorithm ) OR ( attack detection method algorithm ))
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Integrated combined layer algorithm of jamming detection and classification in manet / Ahmad Yusri Dak
Published 2019“…Thus, this study proposes the development of algorithms to detect and classify jamming attacks using a set of parameters on the physical layer and MAC in MANET. …”
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Detection of DDoS attacks in IoT networks using machine learning algorithms
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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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Enhanced AI-based anomaly detection method in the intrusion detection system (IDS) / Kayvan Atefi
Published 2019“…Moreover, shortage of reliable methods on a new dataset for the intrusion detection system and anomaly detection in terms of classification is an issue. …”
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An efficient anomaly intrusion detection method with feature selection and evolutionary neural network
Published 2020“…A proposed model has been practically used to the problem of intrusion detection as well as been validated using the NSL-KDD dataset. …”
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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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ChoCD : Usable and secure graphical password authentication scheme
Published 2024thesis::master thesis -
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Text spam messages classification using Artificial Immune System (AIS) algorithms
Published 2024thesis::master thesis -
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IoT-based botnet attacks systematic mapping study of literature
Published 2024journal::journal article -
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Intelligent deep machine learning cyber phishing URL detection based on BERT features extraction
Published 2022“…The results showed that the proposed method was efficient and valid in detecting phishing websites’ URLs.…”
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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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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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An evaluation on KNN-SVM algorithm for detection and prediction of DDoS attack
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Book Section -
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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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18
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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An Enhanced Mechanism To Detect Drdos Attacks On Dns Using Adaptive Thresholding Technique
Published 2023“…Thus, this thesis presents a mechanism for detecting DRDoS attacks on DNS that is strengthened by the use of modified metaheuristic algorithms and adaptive thresholding techniques based on machine learning algorithms (EMDDMAT).…”
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Improved hybrid teaching learning based optimization-jaya and support vector machine for intrusion detection systems
Published 2022“…While the effectiveness of some machine learning algorithms in detecting certain types of network intrusion has been ascertained, the situation remains that no single method currently exists that can achieve consistent results when employed for the detection of multiple attack types. …”
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