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A malware analysis and detection system for mobile devices / Ali Feizollah
Published 2017“…We extracted 30 different features from network traffic. We then used feature selection algorithms and deep learning algorithms to build a detection model. …”
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Performance evaluation of real-time multiprocessor scheduling algorithms
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Phishing attack detection using machine learning method
Published 2019“…The Naïve Bayes algorithm, Decision Tree algorithm and Support Vector Machine algorithm has been used to prevent the spam attack, as well as the phishing attack. …”
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Undergraduates Project Papers -
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Predicting attackers of online shaming using ant colony optimization / Noor Shafiqa Fazlien Mohamad Fauzi
Published 2020“…In order to predict the attackers of online shaming, Ant Colony Optimization Algorithm will be used and it will be compared with J48 algorithm. …”
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A novel algorithm to prevent man in the middle attack in LAN environment
Published 2010“…The use of HTTPS gives a sense of protection against attacks such as man in the middle (MITM) attack. …”
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Proceeding Paper -
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Wormhole attack detection mechanism in mobile ad hoc network using neighborhood information and path tracing algorithm
Published 2015“…NIPT algorithm has better improvement on delay which presents the elimination of attacker. …”
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7
Cryptanalysis in cryptographic algorithm design
Published 2006“…In this paper, we review the types of attacks and focus on short-cut attacks. Short-cut attacks make use of an algorithm’s weaknesses to discover the key faster than brute-force. …”
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8
Malware Classification and Detection using Variations of Machine Learning Algorithm Models
Published 2025“…The purpose of the study is to detect, classify malware attacks using a variety of ML Algorithm models such as SVM, KNN and Neural Network and testing detection performance. …”
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Implement edge pruning to enhance attack graph generation using the naïve approach algorithm
Published 2024“…The attack graph is categorized into three sections: generation, analysis, and use of attack graph. …”
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Attack graph construction for enhancing intrusion prediction based on vulnerabilities metrics
Published 2023“…This study employs use Random Forest algorithm to identify and forecast attacks to dynamically locate the attack location in the network for attack graph analysis. …”
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An evaluation on KNN-SVM algorithm for detection and prediction of DDoS attack
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Predicting the success of suicide terrorist attacks using different machine learning algorithms
Published 2022“…For this purpose, various machine learning algorithms, namely Random Forest, K Nearest Neighbor, Decision Tree, LightGBM Boosting, and a feedforward Artificial Neural Network called Multilayer Perceptron (MLP), are used to determine the success of suicide terrorist attacks. …”
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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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14
Cryptanalytic attacks on Rivest, Shamir, and Adleman (RSA) cryptosystem: issues and challenges
Published 2014“…This paper presents the issues and challenges on some key aspects of cryptanalytic attacks on RSA algorithm. The paper also explores the perceived vulnerabilities of implementing RSA algorithm which can render a cryptanalyst easier means of attack.…”
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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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17
Dynamic determinant matrix-based block cipher algorithm
Published 2018“…Analyses on linear, differential and short attack will be performed against the DDBC algorithm to estimate the possible success of all three attacks. …”
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Attack prediction to enhance attack path discovery using improved attack graph
Published 2022“…For the attack graph analysis, the random forest algorithm was used to detect, predict, and dynamically ascertain the attack location in the network. …”
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Detecting resource consumption attack over MANET using an artificial immune algorithm
Published 2011“…This paper’s objective is to utilize the biological model used in the dendritic cell algorithm (DCA) to introduce a Dendritic Cell Inspired Intrusion Detection Algorithm (DCIIDA). …”
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