Search Results - Intelligence binary bat algorithm detection

Refine Results
  1. 1

    Automatic phishing website detection and prevention model using transformer deep belief network by Majgave, Amol Babaso, Gavankar, Nitin L.

    ISSN: 0167-4048
    Published: Elsevier Ltd 01.12.2024
    Published in Computers & security (01.12.2024)
    “… This study's goal is to establish an automated system for the early detection and prevention of phishing websites, thereby enhancing online security and protecting users from cyber threats…”
    Get full text
    Journal Article
  2. 2

    SI-BBA – A novel phishing website detection based on Swarm intelligence with deep learning by Pavan Kumar, Parvathapuram, Jaya, T., Rajendran, V.

    ISSN: 2214-7853, 2214-7853
    Published: Elsevier Ltd 2023
    Published in Materials today : proceedings (2023)
    “… In this proposed work, an improved version of Binary Bat namely Swarm Intelligence Binary Bat Algorithm is used for designing the neural network which categorize the network URL websites similar…”
    Get full text
    Journal Article
  3. 3

    Binary bat algorithm based feature selection with deep reinforcement learning technique for intrusion detection system by Priya, S., Kumar, K. Pradeep Mohan

    ISSN: 1432-7643, 1433-7479
    Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2023
    Published in Soft computing (Berlin, Germany) (01.08.2023)
    “…The new generation of Intrusion Detection Systems (IDS) progressively requires automatic and intellectual network ID strategies for managing security risks made by a rising amount of advanced attackers from the cyber environment…”
    Get full text
    Journal Article
  4. 4

    Binary Bat Algorithm for text feature selection in news events detection model using Markov clustering by Al-Dyani, Wafa Zubair, Ahmad, Farzana Kabir, Kamaruddin, Siti Sakira

    ISSN: 2331-1916, 2331-1916
    Published: Abingdon Cogent 31.12.2022
    Published in Cogent engineering (31.12.2022)
    “… Hence, this study proposes a novel Binary Bat Algorithm (BBA) and Markov Clustering Algorithm (MCL…”
    Get full text
    Journal Article
  5. 5

    Faulty processor identification for a multiprocessor system under the Malek model using an improved binary bat algorithm by Gui, Weixia, Pan, Fulai, Zhu, Dandan, Li, Feng

    ISSN: 0920-8542, 1573-0484
    Published: New York Springer US 01.03.2023
    Published in The Journal of supercomputing (01.03.2023)
    “… This paper proposes an improved binary bat algorithm to identify faulty processors in a multiprocessor system…”
    Get full text
    Journal Article
  6. 6

    Lie detection using extreme learning machine: A concealed information test based on short‐time Fourier transform and binary bat optimization using a novel fitness function by Dodia, Shubham, Edla, Damodar R., Bablani, Annushree, Cheruku, Ramalingaswamy

    ISSN: 0824-7935, 1467-8640
    Published: Hoboken, USA John Wiley & Sons, Inc 01.05.2020
    Published in Computational intelligence (01.05.2020)
    “…Lie detection is one of the major challenges that is being faced by the forensic sciences…”
    Get full text
    Journal Article
  7. 7

    Feature Selection for Image Steganalysis Using Binary Bat Algorithm by Liu, Feng, Yan, Xuehu, Lu, Yuliang

    ISSN: 2169-3536, 2169-3536
    Published: Piscataway IEEE 2020
    Published in IEEE access (2020)
    “… stego images from cover images using a nature-inspired feature selection method based on the binary bat algorithm(BBA…”
    Get full text
    Journal Article
  8. 8

    Social bat optimisation dependent deep stacked auto-encoder for skin cancer detection by Majji, Ramachandro, Om Prakash, Ponnusamy Gnanaprakasam, Cristin, Rajan, Parthasarathy, Govindaswamy

    ISSN: 1751-9659, 1751-9667
    Published: The Institution of Engineering and Technology 19.12.2020
    Published in IET image processing (19.12.2020)
    “… Hence, this study introduces a new algorithm called social bat optimisation algorithm for skin cancer detection…”
    Get full text
    Journal Article
  9. 9

    Improved discrete salp swarm algorithm using exploration and exploitation techniques for feature selection in intrusion detection systems by Barhoush, Malek, Abed-alguni, Bilal H., Al-qudah, Nour Elhuda A.

    ISSN: 0920-8542, 1573-0484
    Published: New York Springer US 01.12.2023
    Published in The Journal of supercomputing (01.12.2023)
    “… This paper presents the enhanced opposition-based learning salp swarm algorithm (EOSSA), which is an improved SSA algorithm for solving the FS problem in intrusion detection systems (IDS…”
    Get full text
    Journal Article
  10. 10

    AI-Based Two-Stage Intrusion Detection for Software Defined IoT Networks by Li, Jiaqi, Zhao, Zhifeng, Li, Rongpeng, Zhang, Honggang

    ISSN: 2327-4662, 2327-4662
    Published: Piscataway IEEE 01.04.2019
    Published in IEEE internet of things journal (01.04.2019)
    “… intelligently, which makes it hard to satisfy the requirements of SD-IoT networks. In this paper, we propose an artificial intelligence-based two-stage intrusion detection empowered by software defined technology…”
    Get full text
    Journal Article
  11. 11

    Phishing website detection using support vector machines and nature-inspired optimization algorithms by Anupam, Sagnik, Kar, Arpan Kumar

    ISSN: 1018-4864, 1572-9451
    Published: New York Springer US 01.01.2021
    Published in Telecommunication systems (01.01.2021)
    “… A Support Vector Machine binary classifier trained on an existing dataset has been used to predict if a website was a legitimate website or not, by finding an optimum hyperplane to separate the two categories…”
    Get full text
    Journal Article
  12. 12

    Weighted inertia-based dynamic virtual bat algorithm to detect NLOS nodes for reliable data dissemination in VANETs by Amuthan, A., Kaviarasan, R.

    ISSN: 1868-5137, 1868-5145
    Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2019
    “… In this paper, a weighted inertia-based dynamic virtual bat algorithm (WIDVBA) is proposed for enhancing the characteristics of the traditional Virtual bat scheme that integrates the merits of simulated…”
    Get full text
    Journal Article
  13. 13

    Intelligent feature selection method rooted in Binary Bat Algorithm for intrusion detection by Enache, Adriana-Cristina, Sgarciu, Valentin, Petrescu-Nita, Alina

    Published: IEEE 01.05.2015
    “… In this paper we propose a wrapper feature selection approach that combines two machine learning algorithms with an improved version of the Binary Bat Algorithm…”
    Get full text
    Conference Proceeding
  14. 14

    Collaboration of features optimization techniques for the effective diagnosis of glaucoma in retinal fundus images by Singh, Law Kumar, Khanna, Munish, Thawkar, Shankar, Singh, Rekha

    ISSN: 0965-9978
    Published: Elsevier Ltd 01.11.2022
    Published in Advances in engineering software (1992) (01.11.2022)
    “… As a result, the results from this series of experiments are entirely novel.•The performance test of Bat Algorithm and Binary Cuckoo Search on two typical publicly accessible datasets demonstrates that they are highly efficient in glaucoma prediction…”
    Get full text
    Journal Article
  15. 15

    Swarm Intelligence Algorithms: Modifications and Applications by Slowik, Adam

    ISBN: 0429749473, 9780429749476, 9781138391017, 9780367528881, 1138391018, 0367528886, 9780367496197, 0367496194
    Published: United States CRC Press 2020
    “…This chapter presents a nature-inspired ant colony optimization (ACO) technique, along with its modified variants. The improved versions of this optimization…”
    Get full text
    eBook
  16. 16

    Adaptive Swarm Balancing Algorithms for rare-event prediction in imbalanced healthcare data by Li, Jinyan, Liu, Lian-sheng, Fong, Simon, Wong, Raymond K., Mohammed, Sabah, Fiaidhi, Jinan, Sung, Yunsick, Wong, Kelvin K. L.

    ISSN: 1932-6203, 1932-6203
    Published: United States Public Library of Science 28.07.2017
    Published in PloS one (28.07.2017)
    “… minority. We investigate two different meta-heuristic algorithms, particle swarm optimization and bat algorithm, and apply them to empower the effects of synthetic minority over-sampling technique (SMOTE…”
    Get full text
    Journal Article
  17. 17

    Enhanced intrusion detection system based on bat algorithm-support vector machine by Enache, Adriana-Cristina, Sgarciu, Valentin

    Published: SCITEPRESS 01.08.2014
    “… Our approach improves the Support Vector Machine classifier by exploiting the advantages of a new swarm intelligence algorithm inspired by the environment of microbats (Bat Algorithm…”
    Get full text
    Conference Proceeding
  18. 18

    Optimal Fuzzy Logic Enabled Intrusion Detection for Secure IoT-Cloud Environment by Alrayes, Fatma, Alshuqayran, Nuha, Nour, Mohamed, Duhayyim, Mesfer, Abdullah, Mohamed, Atta, Amgad, Gouse Mohammed, Yaseen, Ishfaq

    ISSN: 1546-2218, 1546-2226
    Published: Henderson Tech Science Press 01.01.2023
    Published in Computers, materials & continua (01.01.2023)
    “… But the emergence of artificial intelligence (AI) techniques can be exploited for attack detection and classification in the IoT environment…”
    Get full text
    Journal Article
  19. 19

    Effective key-frame extraction approach using TSTBTC–BBA by Singh, Yadwinder, Kaur, Lakhwinder

    ISSN: 1751-9659, 1751-9667
    Published: The Institution of Engineering and Technology 27.03.2020
    Published in IET image processing (27.03.2020)
    “… In this study, the advantages of Thepade's sorted ternary block truncation coding (TSTBTC) along with binary bat algorithm (BBA…”
    Get full text
    Journal Article
  20. 20

    An immune intelligent approach for security assurance by Enache, Adriana-Cristina, Ionita, Mihai, Sgarciu, Valentin

    Published: Centre for Multidisciplinary Research, Innovation and Collaboration (C-MRiC.ORG) 01.06.2015
    “… The main contribution of this work is an anomaly based IDS model with active response that combines artificial immune systems and swarm intelligence with the SVM classifier. Test results for the NSL-KDD dataset prove the proposed approach can outperform the standard classifier in terms of attack detection rate and false alarm rate, while reducing the number of features in the dataset…”
    Get full text
    Conference Proceeding