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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. …”
    Proceedings Paper
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  3. 3
    Android Mobile Malware Classification Based on System Call and Permission Using Tokenization

    Android Mobile Malware Classification Based on System Call and Permission Using Tokenization by Intan Nurfarahin Binti Ahmad

    Published 2024
    thesis::master thesis
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  4. 4
    A mobile application system for parking validation based on deep learning image processing / Alias Deraman and Muhammad Izz Kamaruddin

    A mobile application system for parking validation based on deep learning image processing / Alias Deraman and Muhammad Izz Kamaruddin by Deraman, Alias, Kamaruddin, Muhammad Izz

    Published 2023
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    Book Section
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  5. 5
    BFEDroid: A Feature Selection Technique to Detect Malware in Android Apps Using Machine Learning

    BFEDroid: A Feature Selection Technique to Detect Malware in Android Apps Using Machine Learning by Chimeleze C., Jamil N., Ismail R., Lam K.-Y., Teh J.S., Samual J., Akachukwu Okeke C.

    Published 2023
    Article
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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
    A real-time mobile notification system for inventory stock out detection using SIFT and RANSAC

    A real-time mobile notification system for inventory stock out detection using SIFT and RANSAC by Merrad, Yacine, Habaebi, Mohamed Hadi, Islam, Md Rafiqul, Gunawan, Teddy Surya

    Published 2020
    “…The proposed method is a machine learning based real-time notification system using the exciting Scale Invariant Feature Transform feature detector (SIFT) and Random Sample Consensus (RANSAC) algorithms. …”
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  8. 8
    Secure payment parking system (SPS) with Excel database software / Syed Luqman Putra Syed Putra Zainol Alam

    Secure payment parking system (SPS) with Excel database software / Syed Luqman Putra Syed Putra Zainol Alam by Syed Putra Zainol Alam, Syed Luqman Putra

    Published 2024
    “…This project addresses the need for an efficient and secure car parking solution, leveraging ESP32 and ESP32 CAM modules, infrared sensors, LEDs, and a custom mobile application developed with MIT App Inventor. …”
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    Student Project
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  9. 9
    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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    Article
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  10. 10
    Malware visualizer: A web apps malware family classification with machine learning

    Malware visualizer: A web apps malware family classification with machine learning by Mohd Zamri, Osman, Ahmad Firdaus, Zainal Abidin, Rahiwan Nazar, Romli

    Published 2021
    “…Within the past few years, malware has been a serious threat to the security and privacy of all mobile phone users. Due to the popularity of smartphones, primarily Android, this makes them a very viable target for spreading malware. …”
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  11. 11
    A deep Learning Approach to Malware detection in android platform

    A deep Learning Approach to Malware detection in android platform by Corrine, Francis

    Published 2018
    “…The chosen approach will learn and train itself by using the features that are needed for malware detection using a large data sets for evaluating the trained algorithm. …”
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    Final Year Project Report / IMRAD
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  12. 12
    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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  13. 13
    A static analysis approach for android permission-based malware detection systems

    A static analysis approach for android permission-based malware detection systems by Juliza, Mohamad Arif, Mohd Faizal, Ab Razak, Suryanti, Awang, Sharfah Ratibah, Tuan Mat, Nor Syahidatul Nadiah, Ismail, Ahmad Firdaus, Zainal Abidin

    Published 2021
    “…The results indicated that with a TPR value of 91.6%, the Random Forest algorithm achieved the highest level of accuracy in malware detection.…”
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  14. 14
    MENGKAJI TAHAP KESEDARAN METAKOGNISI PELAJAR TAHUN SATU SAINS KOGNITIF DI UNIMAS

    MENGKAJI TAHAP KESEDARAN METAKOGNISI PELAJAR TAHUN SATU SAINS KOGNITIF DI UNIMAS by SITI NORAINI, LABU

    Published 2018
    “…The chosen approach will learn and train itself by using the features that are needed for malware detection using a large data sets for evaluating the trained algorithm. …”
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    Final Year Project Report / IMRAD
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  15. 15
    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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  16. 16
    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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    Undergraduates Project Papers
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  17. 17
    Speaker identification through feature fusion based deep learning / Rashid Jahangir

    Speaker identification through feature fusion based deep learning / Rashid Jahangir by Rashid , Jahangir

    Published 2021
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    Thesis
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  18. 18
    Multi-sensor fusion and deep learning framework for automatic human activity detection and health monitoring using motion sensor data / Henry Friday Nweke

    Multi-sensor fusion and deep learning framework for automatic human activity detection and health monitoring using motion sensor data / Henry Friday Nweke by Henry Friday , Nweke

    Published 2019
    “…In addition, human activity detection methods have wide applications in security, surveillance and postural detection to prevent falls in elderly. …”
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    Thesis
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  19. 19
    A Review Of The Student Academic Planner System

    A Review Of The Student Academic Planner System by Fathi, A.M.Z., Nurdiana, A.

    Published 2024
    Article
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  20. 20
    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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