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  1. 1
    A malware analysis and detection system for mobile devices / Ali Feizollah

    A malware analysis and detection system for mobile devices / Ali Feizollah by 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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  2. 2
    Early detection and mitigation of DDoS attacks in software defined networks

    Early detection and mitigation of DDoS attacks in software defined networks by Al-Saadi, Mustafa Yahya Zakariya

    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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  3. 3
    Phishing attack detection using machine learning method

    Phishing attack detection using machine learning method by Jupin, John Arthur

    Published 2019
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  4. 4
    Mitigating Slow Hypertext Transfer Protocol Distributed Denial of Service Attacks in Software Defined Networks

    Mitigating Slow Hypertext Transfer Protocol Distributed Denial of Service Attacks in Software Defined Networks by Akanji, Oluwatobi Shadrach, Abisoye, Opeyemi Aderiike, Iliyasu, Mohammed Awwal

    Published 2021
    “…This paper provides the scholarly community with an approach to boosting service availability in web servers under slow Hypertext Transfer Protocol (HTTP) DDoS attacks through attack detection using Genetic Algorithm and Support Vector Machine which facilitates attack mitigation in a Software-Defined Networking (SDN) environment simulated in GNS3. …”
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  5. 5
    Generalized Entropy-Based Approach With A Dynamic Threshold To Detect Ddos Attacks On Software Defined Networking Controller

    Generalized Entropy-Based Approach With A Dynamic Threshold To Detect Ddos Attacks On Software Defined Networking Controller by Aladaileh, Mohammad Adnan Ahmad

    Published 2021
    “…Thus, this thesis proposes an efficient DDoS attack detection approach called Generalized Entropy-Based Approach with a Dynamic Threshold to Detect DDoS Attacks on Software-Defined Networking Controller (GEADDDC). …”
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  6. 6
    Secure address resolution protocol proxy in software defined network

    Secure address resolution protocol proxy in software defined network by Munther, Munther Numan

    Published 2018
    “…In addition, ARP based attack detection technique combines ARP storm and ARP spoofing detection algorithms. …”
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  7. 7
    SYN Flood detection via machine learning / Muhammad Muhaimin Aiman Mazlan

    SYN Flood detection via machine learning / Muhammad Muhaimin Aiman Mazlan by Mazlan, Muhammad Muhaimin Aiman

    Published 2018
    “…The software will be trained by using NSL KDD Cup dataset in order to make it learns about the Neptune attack and as a result, it will be able to detect and prevent such attack. …”
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  8. 8
    An Intelligence Technique For Denial Of Service (Dos) Attack Detection

    An Intelligence Technique For Denial Of Service (Dos) Attack Detection by Wan Nurul Safawati, Wan Manan, Tuan Muhammad, Safiuddin

    Published 2017
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  9. 9
    A comparative analysis of metaheuristic algorithms in fuzzy modelling for phishing attack detection

    A comparative analysis of metaheuristic algorithms in fuzzy modelling for phishing attack detection by Noor Syahirah, Nordin, Mohd Arfian, Ismail, Tole, Sutikno, Shahreen, Kasim, Rohayanti, Hassan, Zalmiyah, Zakaria, Mohd Saberi, Mohamad

    Published 2021
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  10. 10
    An approach for cross-site scripting detection and removal based on genetic algorithms.

    An approach for cross-site scripting detection and removal based on genetic algorithms. by Hydara, Isatou, Md Sultan, Abu Bakar, Zulzalil, Hazura, Admodisastro, Novia

    Published 2014
    “…Software security vulnerabilities have led to many successful attacks on applications, on a daily basis. …”
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  11. 11
    Hybrid Classification Algorithm For Denial Of Service Attack Detection Using Rough Set Theory And Artificial Immune

    Hybrid Classification Algorithm For Denial Of Service Attack Detection Using Rough Set Theory And Artificial Immune by Fatin Norsyafawati, Mohd Sabri

    Published 2024
    thesis::master thesis
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  12. 12
    TPAAD: Two-phase authentication system for denial of service attack detection and mitigation using machine learning in software-defined network

    TPAAD: Two-phase authentication system for denial of service attack detection and mitigation using machine learning in software-defined network by Najmun, Nisa, Adnan Shahid, Khan, Zeeshan, Ahmed, Najmun, Nisa

    Published 2024
    “…These results confirm that our Two-Phase Authentication for Attack Detection architecture identifies and mitigates SDN DoS attacks with low overhead.…”
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  13. 13
    An intelligence technique for denial of service (DoS) attack detection

    An intelligence technique for denial of service (DoS) attack detection by Wan Nurulsafawati, Wan Manan, Tuan Muhammad, Safiuddin, Zarina, Dzolkhifli, Mohd Hafiz, Mohd Hassin

    Published 2018
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  14. 14
    Detection of black hole attacks in mobile ad hoc networks via HSA-CBDS method

    Detection of black hole attacks in mobile ad hoc networks via HSA-CBDS method by Fahad, Ahmed Mohammed, Ahmed, Abdulghani Ali, Alghushami, Abdullah H., Alani, Sammer

    Published 2019
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  15. 15
    RSA Encryption & Decryption using JAVA

    RSA Encryption & Decryption using JAVA by Ramli, Marliyana

    Published 2006
    “…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
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    Final Year Project
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  16. 16
    SVM driven approach for detecting DoS attacks in SDN environment

    SVM driven approach for detecting DoS attacks in SDN environment by Najmun, Nisa, Adnan Shahid, Khan, Azman, Bujang Masli, Nusrat, Shaheen

    Published 2025
    “…To address this challenge, we propose a novel approach that efficiently detects DoS attacks by implementing a packet inspection process using a queuing mechanism, followed by machine learning classification using SVM and KNN algorithms. …”
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  17. 17
    Machine Learning Based Two Phase Detection and Mitigation Authentication Scheme for Denial-of-Service Attacks in Software Defined Networks

    Machine Learning Based Two Phase Detection and Mitigation Authentication Scheme for Denial-of-Service Attacks in Software Defined Networks by Najmun, Najmun

    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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  18. 18
    Presentation attack detection for face recognition on smartphones: a comprehensive review

    Presentation attack detection for face recognition on smartphones: a comprehensive review by Abdul Ghaffar, Idris, Haji Mohd, Mohd Norzali

    Published 2017
    “…Face Presentation Attack Detection through the sensor level technique involved in using additional hardware or sensor to protect recognition system from spoofing while feature level techniques are purely software-based algorithms and analysis. …”
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  19. 19
    Unprecedented smart algorithm for uninterrupted SDN services during DDoS attack

    Unprecedented smart algorithm for uninterrupted SDN services during DDoS attack by Muhammad Reazul Haque, Saw, Chin Tan, Zulfadzli Yusoff, Kashif Nisar, Rizaludin Kaspin, Iram Haider, Sana Nisar, Rodrigues, J. P. C., Bhawani Shankar Chowdhry, Muhammad Aslam Uqaili, Satya Prasad Majumder, Danda B. Rawat, Etengu, Richard, Rajkumar Buyya

    Published 2021
    “…Nevertheless, it creates a significant loophole for the manifestation of a distributed denial of service (DDoS) attack straightforwardly. Furthermore, recently a Distributed Reflected Denial of Service (DRDoS) attack, an unusual DDoS attack, has been detected. …”
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  20. 20
    Keylogger detection analysis using machine learning algorithm / Muhammad Faiz Hazim Abdul Rahman

    Keylogger detection analysis using machine learning algorithm / Muhammad Faiz Hazim Abdul Rahman by Abdul Rahman, Muhammad Faiz Hazim

    Published 2022
    “…Besides, to test the accuracy of detection models on keylogger dataset comparing two machine learning algorithms. …”
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