Search Results - (( attack detection path algorithm ) OR ( pattern extraction method algorithm ))

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  1. 1

    Wormhole attack detection mechanism in mobile ad hoc network using neighborhood information and path tracing algorithm by Enshaei, Mehdi

    Published 2015
    “…Path Tracing (PT) Algorithm was proposed to detect and prevent exposed wormhole attacks in MANET. …”
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    Thesis
  2. 2

    Attack graph construction for enhancing intrusion prediction based on vulnerabilities metrics by Al-Araji, Zaid Jasim Mohammed

    Published 2023
    “…These metrics use network resources to determine the number of vulnerabilities and the network's weakest path. This work aims to generate a faster and less complexity attack graph and enhance the attack graph analysis to improve the detection and prediction of the attack, the attack's next step, and discover the weakest path that an attacker might use. …”
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    Thesis
  3. 3

    Attack prediction to enhance attack path discovery using improved attack graph by Al-Araji, Zaid Jasim, Abdullah, Raihana Syahirah, Syed Ahmad, Sharifah Sakinah

    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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    Article
  4. 4

    Implement edge pruning to enhance attack graph generation using the naïve approach algorithm by Al-Araji, Zaid J., Mutlag, Ammar Awad, Syed Ahmad, Sharifah Sakinah

    Published 2024
    “…The attack graph depicts the many paths an attacker may attempt to get around a security policy by leveraging interdependencies between disclosed vulnerabilities. …”
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    Article
  5. 5

    Precise ICMP Traceback Based On Normal Flow Filtration in Denial of Services Attack by Izaddoost, Alireza

    Published 2008
    “…Intention-driven model, a sampling traceback technique, provides information about the attack flow and able to reconstruct the attack path to the source of attack by the aid of Intrusion Detection system (IDS). …”
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    Thesis
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    Detection of black hole nodes in mobile ad hoc network using hybrid trustworthiness and energy consumption techniques by Mustafa, Ahmed Sudad

    Published 2017
    “…In this thesis, a hybrid detection algorithm mechanism has been proposed which combines two detection algorithms based on nodes’ trustworthiness and energy consumption in a parallel manner in order to detect the black hole nodes. …”
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    Thesis
  10. 10

    Finger Vein Recognition Using Pattern Map As Feature Extraction by Teoh, Saw Beng

    Published 2012
    “…This shows that pattern map is a reliable feature extraction method and is able to represent finger vein pattern effectively.…”
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    Thesis
  11. 11

    Realization Of The 1D Local Binary Pattern (LBP) Algorithm In Raspberry Pi For Iris Classification Using K-NN Classifier by Siow, Shien Loong

    Published 2018
    “…Classic local binary pattern (LBP) is one of the most useful feature extraction methods. …”
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    Monograph
  12. 12

    Security testing of web applications for detecting and removing second-order SQL injection vulnerabilities by Draib, Najla'a Ateeq Mohammed

    Published 2022
    “…This technique also applies the removing algorithm, which uses escaping method to remove the detected vulnerabilities. …”
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    Thesis
  13. 13

    HEP-2 CELL IMAGES CLASSIFICATION BASED ON STATISTICAL TEXTURE ANALYSIS AND FUZZY LOGIC by Jamil, Nur Farahim

    Published 2014
    “…This project proposes a pattern recognition algorithm consisting of statistical methods to extract seven textural features from the HEp-2 cell images followed by classification of staining patterns by using fuzzy logic. …”
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    Final Year Project
  14. 14

    Social media mining: a genetic based multiobjective clustering approach to topic modelling by Alfred, Rayner, Loo, Yew Jie, Obit, Joe Henry, Lim, Yuto, Haviluddin, Haviluddin, Azman, Azreen

    Published 2021
    “…As the components of big data continue to expand, the task of extracting useful information becomes critical. Topic extraction refers to the process of extracting main topics from the pool of news feed and a typical method to perform topic extraction is through clustering. …”
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    Article
  15. 15

    Abnormal Pattern Detection In Ppg Signals Using Time Series Analysis by Siti Nur Hidayah, Mazelan

    Published 2022
    “…This project’s objectives are to implement rule-based algorithm method for abnormal pattern detection in PPG signals, and to investigate the accuracy and performance of rule-based algorithm in detecting the abnormal pattern. …”
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    Undergraduates Project Papers
  16. 16

    Fingerprint verification using clonal selection algorithm / Farah Syadiyah Shamsudin by Shamsudin, Farah Syadiyah

    Published 2017
    “…Further studies can be made by using the same algorithm, but focusing more on the image enhancement and the feature extraction methods to improve the quality of the extraction of fingerprints.…”
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    Thesis
  17. 17

    Integration Of Unsupervised Clustering Algorithm And Supervised Classifier For Pattern Recognition by Leong, Shi Xiang

    Published 2017
    “…However, further study is needed in the feature extraction and clustering algorithms part as the performance of the pattern classification is still depending on the data input.…”
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    Thesis
  18. 18

    Temporal - spatial recognizer for multi-label data by Mousa, Aseel

    Published 2018
    “…Experiments on five datasets were conducted to compare the proposed method (imHTM) against statistical, template and structural pattern recognition methods. …”
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    Thesis
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    Social media mining: a genetic based multiobjective clustering approach to topic modelling by Rayner Alfred, Loo Yew Jie, Joe Henry Obit, Yuto Lim, Haviluddin Haviluddin, Azreen Azman

    Published 2021
    “…As the components of big data continue to expand, the task of extracting useful information becomes critical. Topic extraction refers to the process of extracting main topics from the pool of news feed and a typical method to perform topic extraction is through clustering. …”
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    Article
  20. 20

    Data mining using genetic algorithm in finance data / A. Noor Latiffah and A. B. Nordin by Latiffah, A. Noor, Nordin, A. B.

    Published 2006
    “…The methods that wilt be applied are conventional statistical methods Markowitz Optimization as well as evolutionary programming (EP) utilizing genetic algorithms. …”
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    Conference or Workshop Item