Search Results - (( structures attack detection algorithm ) OR ( java application testing algorithm ))
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Detection of Denial of Service Attacks against Domain Name System Using Neural Networks
Published 2009“…The results indicated that the three layered back propagation neural network with a 3-7-3 structure provides a detection rate of 99.55% for direct DoS attacks and 97.82% for amplification DoS attacks. …”
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Thesis -
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RSA Encryption & Decryption using JAVA
Published 2006“…The implementation of this project will be based on Rapid Application Design Methodology (RAD) and will be more focusing on research and finding, ideas and the implementation of the algorithm, and finally running and testing the algorithm. …”
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Final Year Project -
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An efficient detection model of selective forwarding attacks in wireless mesh networks
Published 2012“…In our approach, we also propose a multi-hop acknowledgement based algorithm to analyze and detect the malicious behavior to defend against selective forwarding attacks in WMNs. …”
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Machine Learning Based Two Phase Detection and Mitigation Authentication Scheme for Denial-of-Service Attacks in Software Defined Networks
Published 2024“…In this research, Two-Phase Authentication of Attack Detection (TPAAD) scheme is proposed and investigated for detection and mitigation of DoS attacks in SDN to increase the performance of the above-mentioned issues. …”
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Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things
Published 2022“…Detecting cyber-security attacks is still a challenging task. …”
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Security testing of web applications for detecting and removing second-order SQL injection vulnerabilities
Published 2022“…This technique also applies the removing algorithm, which uses escaping method to remove the detected vulnerabilities. …”
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Comparison of Search Algorithms in Javanese-Indonesian Dictionary Application
Published 2020“…Performance Testing is used to test the performance of algorithm implementations in applications. …”
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RFID-enabled supply chain detection using clustering algorithms
Published 2015“…We propose to use clustering algorithms in order to detect counterfeit in supply chain management. …”
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Conference or Workshop Item -
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A stylometry approach for blind linguistic steganalysis model against translation-based steganography
Published 2023“…While targeted steganalysis is designed to attack a specific embedding algorithm, blind steganalysis use features extracted or selection from the medium to detect any anomalies that indicate a possibility that a secret data has been embedded within the medium. …”
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Thesis -
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Energy-efficient intrusion detection in wireless sensor network
Published 2012“…There are several algorithms for building Intrusion Detection Systems (IDS) based on different WSN routing protocol classifications with respect to energy-efficient manner. …”
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Implementation of (AES) Advanced Encryption Standard algorithm in communication application
Published 2014“…The concept of ABS algorithm was firstly studied, including the definition, historical background, and a brief comparison was made between the ABS algorithm with other types of algorithm. …”
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Undergraduates Project Papers -
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A detailed description on unsupervised heterogeneous anomaly based intrusion detection framework
Published 2019“…Ultimately, the framework is able to detect a broad range of intrusions exist in the logs without using either the attack knowledge or the traffic behavioural models. …”
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Classification System for Heart Disease Using Bayesian Classifier
Published 2007“…This system was developing base on to three main part which is data processing, testing and implementation of the algorithm. In this system a Bayesian algorithm was used in order to implement the system. …”
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An enhance embedding method using edge and textures detection for image steganography
Published 2024“…The findings reveal that the proposed method significantly enhances the robustness and security of image steganography, achieving an average Peak Signal-to-Noise Ratio of 18.839 dB and a Structural Similarity Index of 0.647. By embedding in noisy zones using edge and texture detection which complicates feature extraction, making hidden information more secure and statistically less detectable than basic LSB matching techniques. …”
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Malware detection using Gini, Simpson diversity, and Shannon-Wiener indexes
Published 2025“…The increasing number of malware attacks poses a significant challenge to cyber security. …”
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Characterizing Current Features of Malicious Threats on Websites
Published 2019“…They compromised computer system, targeting especially to government sector, ecommerce and banking networks rigorously and made it difficult to detect the perpetrators. Attackers used a powerful technique, by embedding a malicious code in a normal webpage that resulted harder detection. …”
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Conference or Workshop Item