Search Results - (( java simulation optimization algorithm ) OR ( attack selection proposed algorithm ))

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  1. 1

    Randomized pixel selection for enhancing LSB algorithm security against brute-force attack by Mohamad Afendee, Mohamed, Ammar, Y. Tuama, Mohamad, A. Mohamed, Abdullah, Muhammed, Zurina, M. Hanapi

    Published 2017
    “…The results show that the proposed algorithm achieves a significant security improvement in comparison to standard LSB when it comes to defending against bruteforce attacks with a subordinate effect of image quality.…”
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    Article
  2. 2

    Improved hybrid teaching learning based optimization-jaya and support vector machine for intrusion detection systems by Mohammad Khamees Khaleel, Alsajri

    Published 2022
    “…The aim of this work is to develop an improved optimization method for IDS that can be efficient and effective in subset feature selection and parameters optimization. To achieve this goal, an improved Teaching Learning-Based Optimization (ITLBO) algorithm was proposed in dealing with subset feature selection. …”
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    Thesis
  3. 3
  4. 4

    Dynamic determinant matrix-based block cipher algorithm by Juremi, Julia

    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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    Thesis
  5. 5

    Features selection for IDS in encrypted traffic using genetic algorithm by Barati, Mehdi, Abdullah, Azizol, Mahmod, Ramlan, Mustapha, Norwati, Udzir, Nur Izura

    Published 2013
    “…This paper presents a hybrid feature selection using Genetic Algorithm and Bayesian Network to improve Brute Force attack detection in Secure Shell (SSH) traffic.Brute Force attack traffic collected in a client-server model is implemented in proposed method.Our results prove that the most efficient features were selected by proposed method.…”
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    Conference or Workshop Item
  6. 6

    Adaptive feature selection for denial of services (DoS) attack by Yusof, Ahmad Riza'ain, Udzir, Nur Izura, Selamat, Ali, Hamdan, Hazlina, Abdullah @ Selimun, Mohd Taufik

    Published 2017
    “…Adaptive detection is the learning ability to detect any changes in patterns in intrusion detection systems. In this paper, we propose combining two techniques in feature selection algorithm, namely consistency subset evaluation (CSE) and DDoS characteristic features (DCF) to identify and select the most important and relevant features related DDoS attacks. …”
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    Conference or Workshop Item
  7. 7

    Distributed Denial of Service detection using hybrid machine learning technique by Barati, Mehdi, Abdullah, Azizol, Udzir, Nur Izura, Mahmod, Ramlan, Mustapha, Norwati

    Published 2014
    “…Genetic Algorithm (GA) and Artificial Neural Network (ANN) are deployed for feature selection and attack detection respectively in our hybrid method. …”
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    Conference or Workshop Item
  8. 8

    Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing by Husna, Jamal Abdul Nasir

    Published 2011
    “…Global pheromone update is performed after the completion of processing the jobs in order to reduce the pheromone value of resources. A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
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    Thesis
  9. 9

    Features selection for ids in encrypted traffic using genetic algorithm by Barati, Mehdi, Abdullah, Azizol, Mahmod, Ramlan, Mustapha, Norwati, Udzir, Nur Izura

    Published 2013
    “…This paper presents a hybrid feature selection using Genetic Algorithm and Bayesian Network to improve Brute Force attack detection in Secure Shell (SSH) traffic. …”
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    Conference or Workshop Item
  10. 10

    Ant colony optimization algorithm for load balancing in grid computing by Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

    Published 2012
    “…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
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    Monograph
  11. 11

    Intrusion Detection in Mobile Ad Hoc Networks Using Transductive Machine Learning Techniques by Farhan, Farhan Abdel-Fattah Ahmad

    Published 2011
    “…The proposed algorithm employs a combined model that uses two different measures (nonconformity metric measures and Local Distance-based Outlier Factor (LDOF)) to improve its detection ability. …”
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    Thesis
  12. 12

    A multi-filter feature selection in detecting distributed denial-of-service attack by Yon, Yi Jun, Leau, Yu-Beng, Suraya Alias, Park, Yong Jin

    Published 2019
    “…It consists of 3-stage procedures: feature ranking, feature selection and classification. Subsequently, an experimental evaluation of the proposed Multi-Filter Feature Selection (M2FS) method is performed by using the benchmark dataset, NSL-KDD and employed the J48 classification algorithm. …”
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    Conference or Workshop Item
  13. 13

    ETERS: A comprehensive energy aware trust-based efficient routing scheme for adversarial WSNs by Khan, T., Singh, K., Hasan, M.H., Ahmad, K., Reddy, G.T., Mohan, S., Ahmadian, A.

    Published 2021
    “…However, a trust-based attack detection algorithm (TADA) assesses the reliability of SNs to detect internal attacks. …”
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    Article
  14. 14

    Attacks detection in 6G wireless networks using machine learning by Saeed, Mamoon M., Saeed, Rashid A., Gaid, Abdulguddoos S. A., Mokhtar, Rania A., Khalifa, Othman Omran, Ahmed, Zeinab E.

    Published 2023
    “…The second stage involves the feature selection approach. Correlation Feature Selection algorithm (CFS) is used to implement the suggested hybrid strategy. …”
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    Proceeding Paper
  15. 15

    An enhancement of classification technique based on rough set theory for intrusion detection system application by Noor Suhana, Sulaiman

    Published 2019
    “…Discretization algorithms have been recently proposed; however, those algorithms of discretizer are only capable to handle categorical attributes and cannot deal with numerical attributes. …”
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    Thesis
  16. 16

    An Improved Wavelet Digital Watermarking Software Implementation by Khalifa, Othman Omran, Yusof, Yusnita, Hassan Abdalla Hashim, Aisha, Olanrewaju, Rashidah Funke

    Published 2012
    “…However, it is clearly observed that each of them is individually distinctive in terms of its scopes and applications. In this paper, a proposed system was thoroughly explained. It includes general work flow, proposed algorithms for both original method and improved method, which were named as subband matching and selective subband matching, respectively and various attacks performed for evaluation. …”
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    Proceeding Paper
  17. 17

    An efficient detection model of selective forwarding attacks in wireless mesh networks by Khanam, Shapla, Saleem, Habibullah Yusuf, Pathan, Al-Sakib Khan

    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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    Article
  18. 18

    Steganography based on utilizing more surrounding pixels by Afrakhteh, Masoud

    Published 2010
    “…Conventional LSB method’s concept is used as the benchmark for the proposed algorithms. A model structure selection based on not choosing selected pixels as immediate neighbors of the target pixel is proposed in this study to reduce image’s distortion made by embedding random bits or in other words to get a higher imperceptibility. …”
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    Thesis
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    An improved wavelet digital watermarking software implementation by Khalifa, Othman Omran, Yusof, Yusnita

    Published 2011
    “…This includes general work flow, proposed algorithms for both original method and improved method, which were named as subband matching and selective subband matching, respectively and various attacks performed for evaluation. …”
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    Book Chapter