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  1. 1
    A new mobile botnet classification based on permission and API calls

    A new mobile botnet classification based on permission and API calls by Yusof M., Madihah Mohd Saudi, Farida Hazwani Mohd Ridzuan

    Published 2024
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  2. 2
    Systematic analysis on mobile botnet detection techniques using genetic algorithm

    Systematic analysis on mobile botnet detection techniques using genetic algorithm by Rahman M.Z.A., Madihah Mohd Saudi

    Published 2024
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  3. 3
    Botnet Detection Using a Feed-Forward Backpropagation Artificial Neural Network

    Botnet Detection Using a Feed-Forward Backpropagation Artificial Neural Network by Ahmed, Abdulghani Ali

    Published 2019
    “…The proposed technique aims to detect Botnet zero-day attack in real time. This technique applies a backpropagation algorithm to the CTU-13 dataset to train and evaluate the Botnet detection classifier. …”
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  4. 4
    Botnet detection using automated script / Norfathin Rosli

    Botnet detection using automated script / Norfathin Rosli by Rosli, Norfathin

    Published 2020
    “…This paper is about a Botnet Detection using Automated Script, the programming language is and the operating system is Windows 7. …”
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  5. 5
    A smart framework for mobile botnet detection using static analysis

    A smart framework for mobile botnet detection using static analysis by Anwar, Shahid, Mohamad Fadli, Zolkipli, Mezhuyev, Vitaliy, Inayat, Zakira

    Published 2020
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  6. 6
    A behavior based algorithm to detect spam bots

    A behavior based algorithm to detect spam bots by Zamil, Mohammed Fadhil

    Published 2009
    “…Spamming causes illegal consuming of network resources in general and mail system in particular. The objective of this research is to detect the source of spam on the network by detecting the abnormal behaviors that reflect spamming activities. …”
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  7. 7
    An enhanced android botnet detection approach using feature refinement

    An enhanced android botnet detection approach using feature refinement by Anwar, Shahid

    Published 2019
    “…In order to detect botnet attacks which causes immense chaos and problems to smartphones, first the Android botnet need to be analysed. …”
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  8. 8
    A Static Approach towards Mobile Botnet Detection

    A Static Approach towards Mobile Botnet Detection by Shahid, Anwar, Jasni, Mohamad Zain, Inayat, Zakira, Ul Haq, Riaz, Ahmad, Karim, Jaber, Aws Naser

    Published 2016
    “…In this study we propose a static approach towards mobile botnet detection. This technique combines MD5, permissions, broadcast receivers as well as background services and uses machine learning algorithm to detect those applications that have capabilities for mobile botnets. …”
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  9. 9
    Mobile botnet classification by using hybrid analysis

    Mobile botnet classification by using hybrid analysis by Yusof M., Madihah Mohd Saudi, Farida Hazwani Mohd Ridzuan

    Published 2024
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  10. 10
    IoT-based botnet attacks systematic mapping study of literature

    IoT-based botnet attacks systematic mapping study of literature by Habiba Hamid, Rafidah Md Noor, Syaril Nizam Omar, Ismail Ahmedy, Shaik Shabana Anjum, Syed Adeel Ali Shah, Sheena Kaur, Fazidah Othman, Emran Mohd Tamil

    Published 2024
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  11. 11
    Designing a new model for Trojan horse detection using sequential minimal optimization

    Designing a new model for Trojan horse detection using sequential minimal optimization by Madihah Mohd Saudi, Abuzaid A.M., Taib B.M., Abdullah Z.H.

    Published 2024
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  12. 12
    Automated System for Detecting Cyber Bot Attacks in 5G Networks using Machine Learning

    Automated System for Detecting Cyber Bot Attacks in 5G Networks using Machine Learning by Thrupthi, C.P., Chitra, K., Harilakshmi, V.M.

    Published 2024
    “…Botnets are compromised computer networks controlled by attackers that are visible for this reason. …”
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  13. 13
    Semi-automatic oil palm tree counting from pleiades satellite imagery and airborne LiDAR / Nurul Syafiqah Khalid

    Semi-automatic oil palm tree counting from pleiades satellite imagery and airborne LiDAR / Nurul Syafiqah Khalid by Khalid, Nurul Syafiqah

    Published 2020
    “…Therefore, the final output of tree crown shows the watershed transformation algorithm is the best method for use represented oil palm tree counting in the map which is the accuracy assessment is 38.9%.…”
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  14. 14
    Modification of fractal algorithm for oil spill detection from RADARSAT-1 SAR data

    Modification of fractal algorithm for oil spill detection from RADARSAT-1 SAR data by Marghany, Maged, Cracknell, Arthur P., Hashim, Mazlan

    Published 2008
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  15. 15
    APPLICATION OF ANN AND GA FOR TRANSFORMER WINDING/ INSULATION FAULTS

    APPLICATION OF ANN AND GA FOR TRANSFORMER WINDING/ INSULATION FAULTS by NASHRULADIN, KHAIRUN NISA'

    Published 2007
    “…While, heuristic method of Genetic Algorithm is used to locate the optimal values to enhance the accuracy of fault detection. …”
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  16. 16
    Artificial neural networks and genetic algorithm for transformer winding/insulation faults

    Artificial neural networks and genetic algorithm for transformer winding/insulation faults by K.S.R., Rao, K.N., Nashruladin

    Published 2008
    “…The dissolved gas in oil analysis method is known to be an early fault detection method and enables to carry out diagnosis during online operation of the transformer. …”
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  17. 17
    Oil spill detection and characterization from satellite image using artificial neural network algorithm

    Oil spill detection and characterization from satellite image using artificial neural network algorithm by Ridha, S., Wardaya, P.D.

    Published 2014
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  18. 18
    Young and mature oil palm tree detection and counting using convolutional neural network deep learning method

    Young and mature oil palm tree detection and counting using convolutional neural network deep learning method by Abd Mubin, Nurulain, Nadarajoo, Eiswary, Mohd Shafri, Helmi Zulhaidi, Hamedianfar, Alireza

    Published 2019
    “…Detection and counting of oil palm are important in oil palm plantation management. …”
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  19. 19
    Automatic detection of oil palm tree from UAV images based on the deep learning method

    Automatic detection of oil palm tree from UAV images based on the deep learning method by Xinni, Liu, Kamarul Hawari, Ghazali, Fengrong, Han, Izzeldin, I. Mohd

    Published 2021
    “…The results show that the proposed method is more effective, accurate detection, and correctly counts the number of oil palm trees from the UAV images.…”
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  20. 20
    Fractal dimension algorithm for detecting oil spills using RADARSAT-1 SAR

    Fractal dimension algorithm for detecting oil spills using RADARSAT-1 SAR by Marghany, Maged, Hashim, Mazlan, Cracknell, Arthur P.

    Published 2007
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