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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
    Conference Paper
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  2. 2
    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, Saudi, MM, Ridzuan, F

    Published 2024
    “…As a result, 16 permissions and 31 API calls that are most related with mobile botnet have been extracted using feature selection and later classified and tested using machine learning algorithms. The experimental result shows that the Random Forest Algorithm has achieved the highest detection accuracy of 99.4% with the lowest false positive rate of 16.1% as compared to other machine learning algorithms. …”
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  3. 3
    Home intruder detection system using machine learning and IoT

    Home intruder detection system using machine learning and IoT by Sahlan, Fadhluddin, Feizal, Faeez Zimam, Mansor, Hafizah

    Published 2022
    “…The main objectives of HIDES are to create a reliable home security system with the implementation of IoT, to implement the object detection algorithm to determine the presence of humans, and to develop a smart mobile application for users to monitor their houses from anywhere in the world and be alerted if any threats are detected. …”
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  4. 4
    'Chapter 7: Smartphone penetration test: Securing Industry 5.0 mobile applications' in "1st Edition, The Future of Human-Computer Integration Industry 5.0 Technology, Tools, and Algorithms".

    'Chapter 7: Smartphone penetration test: Securing Industry 5.0 mobile applications' in "1st Edition, The Future of Human-Computer Integration Industry 5.0 Technology, Tools, and Algorithms". by Eka Wahyu, Aditya, Nur Haryani, Zakaria, Fazli, Azzali, Mohamad Nazim, Jambli

    Published 2024
    “…The Future of Human-Computer Integration: Industry 5.0 Technology, Tools, and Algorithms provides a valuable insight into how Industry 5.0 technologies, tools, and algorithms can revolutionise industries and drive innovation. …”
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  5. 5
    Cornsense: leaf disease detection application / Iffah Fatinah Mohamad Nasir

    Cornsense: leaf disease detection application / Iffah Fatinah Mohamad Nasir by Mohamad Nasir, Iffah Fatinah

    Published 2025
    “…The purpose of this project is to develop a mobile application for corn leaf disease detection leveraging the YOLOv8 (You Only Look Once version 8) object detection algorithm. …”
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    Thesis
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  6. 6
    Efficient Malware Detection And Response Model Using Enhanced Parallel Deep Learning (EPDL-MDR)

    Efficient Malware Detection And Response Model Using Enhanced Parallel Deep Learning (EPDL-MDR) by Chowdhury Sajadul Islam

    Published 2026
    thesis::doctoral thesis
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  7. 7
    Securing IoT networks using machine learning-resistant physical unclonable functions (PUFs) on edge devices

    Securing IoT networks using machine learning-resistant physical unclonable functions (PUFs) on edge devices by Sheikh, Abdul Manan, Islam, Md. Rafiqul, Habaebi, Mohamed Hadi, Zabidi, Suriza Ahmad, Najeeb, Athaur Rahman, Baloch, Mazhar

    Published 2026
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  8. 8
    A study of mobile IP and its security aspects in a LAN environment / Suhaila Che Ismail

    A study of mobile IP and its security aspects in a LAN environment / Suhaila Che Ismail by Che Ismail, Suhaila

    Published 1998
    “…Therefore, a thorough research is to be accomplished in order to produce the mobile IP to the extent of the security features and the algorithm.…”
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    Thesis
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  9. 9
    New Lightweight Identity Based Encryption Algorithm for Mobile Device: Preliminary Study

    New Lightweight Identity Based Encryption Algorithm for Mobile Device: Preliminary Study by Norhidayah, Muhammad, Jasni, Mohamad Zain, Md Yazid, Mohd Saman

    Published 2012
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  10. 10
    Secure mobile AES encryptor (SMAE)

    Secure mobile AES encryptor (SMAE) by Satia, Anbalagan

    Published 2016
    “…Besides that, the application is developed as a web based application to ensure the application can be accessed using both mobile application as well as web browser. …”
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  11. 11
    Encrypted mobile messaging application using AES block cipher cryptography algorithm / Nur Rasyiqah Zulkifli

    Encrypted mobile messaging application using AES block cipher cryptography algorithm / Nur Rasyiqah Zulkifli by Zulkifli, Nur Rasyiqah

    Published 2019
    “…This project focuses on securing the messages from the intruders. Nowadays, people mostly use mobile application to communicate with each other. …”
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    Student Project
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  12. 12
    Security mechanism for wireless Mobile Ad Hoc Networks (MANET)

    Security mechanism for wireless Mobile Ad Hoc Networks (MANET) by Abdul Rahman Sidek, Diana

    Published 2006
    “…Today, the military tactical operations are still the main application of ad hoc networks. This report provides an overview of wireless ad hoc networks, wireless threats, cryptography background and the security algorithms for this encryption method. …”
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  13. 13
    Encrypted mobile messaging application using 3D-AES block cipher cryptography algorithm / Aida Najihah Mohd Khlubi

    Encrypted mobile messaging application using 3D-AES block cipher cryptography algorithm / Aida Najihah Mohd Khlubi by Mohd Khlubi, Aida Najihah

    Published 2019
    “…This paper analyzes how information sent through mobile messaging application is being secured. Nowadays, people are more likely to communicate with each other through mobile application. …”
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  14. 14
    SANAsms: Secure short messaging system for secure GSM mobile communication

    SANAsms: Secure short messaging system for secure GSM mobile communication by Anuar, N.B., Azlan, I.M., Wahid, A.W.A., Zakaria, O.

    Published 2008
    “…Currently, normal SMS using GSM communication is not secured and safe enough. One of the solutions is to have a security application implemented in mobile phone device. …”
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  15. 15
    Route optimization security in mobile IPv6 wireless networks: a test-bed experience

    Route optimization security in mobile IPv6 wireless networks: a test-bed experience by Mehdizadeh, Abbas, Khatun, Sabira, Mohd Ali, Borhanuddin, Raja Abdullah, Raja Syamsul Azmir, Kurup, Gopakumar

    Published 2008
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  16. 16
    Analysis of confidentiality algorithms in different mobile generations

    Analysis of confidentiality algorithms in different mobile generations by Jassim, Khalid Fadhil, Alshaikhli, Imad Fakhri Taha

    Published 2017
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    Proceeding Paper
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  17. 17
    Security enhancement of route optimization in mobile IPv6 networks

    Security enhancement of route optimization in mobile IPv6 networks by Mehdizadeh, Abbas, Khatun, Sabira, Mohd Ali, Borhanuddin, Raja Abdullah, Raja Syamsul Azmir, Kurup, Gopakumar

    Published 2008
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  18. 18
    Analysing and improving the performance and security of the cryptographically Generated Address (CGA) algorithm for mobile IPv6 networks

    Analysing and improving the performance and security of the cryptographically Generated Address (CGA) algorithm for mobile IPv6 networks by Qadir, Sana, Siddiqi, Mohammad Umar, Al-Khateeb, Khalid A. Saeed

    Published 2015
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  19. 19
    Factors influencing graphical user algorithm for mobile banking user authentication: a systematic literature review

    Factors influencing graphical user algorithm for mobile banking user authentication: a systematic literature review by Ugochukwu, Ejike Ekeke Kingsley, Jusoh, Yusmadi Yah

    Published 2014
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  20. 20
    Dynamic android malware category classification using semi-supervised deep learning

    Dynamic android malware category classification using semi-supervised deep learning by Mahdavifar, Samaneh, Kadir, Andi Fitriah Abdul, Fatemi, Rasool, Alhadidi, Dima, Ghorbani, Ali A

    Published 2020
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