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  1. 1
    Performance evaluation of real-time multiprocessor scheduling algorithms

    Performance evaluation of real-time multiprocessor scheduling algorithms by Alhussian, H., Zakaria, N., Abdulkadir, S.J., Fageeri, S.O.

    Published 2016
    “…The aim of this evolution is to reflect the unseen time overhead incurred by optimal real-time algorithm, represented by LRE-TL, which might hinder the claimed optimality of such algorithms when they are practically implemented. …”
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  2. 2
    RENTAKA: A novel machine learning framework for crypto-ransomware pre-encryption detection

    RENTAKA: A novel machine learning framework for crypto-ransomware pre-encryption detection by S. M. M Yassin, S. M. Warusia Mohamed, Abdollah, Mohd Faizal, Mohd, Othman, Ariffin, Aswami

    Published 2022
    “…This study proposed a pre-encryption detection framework for crypto-ransomware using a machine learning approach. …”
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  3. 3
    Design Of FPGA-Based Encryption Chipusing Blowfish Algorithm

    Design Of FPGA-Based Encryption Chipusing Blowfish Algorithm by Khor, Lay Hoong

    Published 2006
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    Monograph
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  4. 4
    Audio Streaming System Using Real-Time Transport Protocol Based on Java Media Framework

    Audio Streaming System Using Real-Time Transport Protocol Based on Java Media Framework by Asaad Aref, Ibrahim

    Published 2004
    “…A design proposal was outlined to provide an adaptive client/server approach to stream audio contents using Real-Time Transport Protocol (RTP) involving architecture based on the Java Media Framework (JMF) Application Programmable Interfaces (API).RTP protocol is the Internet-standard protocol for the transport of real-time data, including audio and video and can be implemented by using Java Media Framework (JMF). …”
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  5. 5
    Secure Hybrid Scheme For Securing Mqtt Protocol Based On Enhanced Symmetric Algorithm

    Secure Hybrid Scheme For Securing Mqtt Protocol Based On Enhanced Symmetric Algorithm by Hintaw, Ahmed Jameel

    Published 2023
    “…The proposed cryptosystem utilized two algorithms: a dynamic variant of the Advanced Encryption Standard (D-AES) and Key policy attribute base encryption (KP-ABE). …”
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  6. 6
    A chaotic neural network based encryption algorithm for MPEG-2 encoded video signal

    A chaotic neural network based encryption algorithm for MPEG-2 encoded video signal by A. Tariq, A. Fadil, Shahrul Nizam, Yaakob, R. Badlishah, Ahmad, Prof. Madya Dr., Abid, Yahya, Dr.

    Published 2012
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  7. 7
    ECG encryption enhancement with multi-layers of AES and DNA computing

    ECG encryption enhancement with multi-layers of AES and DNA computing by Kh-Madhloom, Jamal

    Published 2023
    “…The pairing-based encryption known as "DNA sequence Enhanced Advanced Encryption Standard (EAES)" can be used to protect medical ECG signals that are stored in the cloud for healthcare purposes using the nebula network architecture. …”
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  8. 8
    Packet header support using hybrid security approach for securing trivial file transfer protocol in machine to machine applications / Nur Nabila Mohamed

    Packet header support using hybrid security approach for securing trivial file transfer protocol in machine to machine applications / Nur Nabila Mohamed by Mohamed, Nur Nabila

    Published 2019
    “…Here in this thesis study, a feasible hybrid security extension has been incorporated into the protocol combining the Hash-based Message Authentication Code and Diffie Hellman Key Exchange (HMAC-DHKE) to enable key agreement and Advanced Encryption Standard (AES) algorithm to perform data encryption/decryption. …”
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  9. 9
    Final exam question paper data encryption and decryption using advance encryption standard / Khairul Nashran Nazari

    Final exam question paper data encryption and decryption using advance encryption standard / Khairul Nashran Nazari by Nazari, Khairul Nashran

    Published 2017
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  10. 10
    A Machine Learning Classification Approach To Detect Tls-Based Malware Using Entropy-Based Flow Set Features

    A Machine Learning Classification Approach To Detect Tls-Based Malware Using Entropy-Based Flow Set Features by Keshkeh, Kinan

    Published 2022
    “…The difficulty and impracticality of decrypting TLS network traffic before it reaches the Intrusion Detection System (IDS) has driven numerous research studies to focus on anomaly-based malware detection without decryption employing various features and Machine Learning (ML) algorithms. …”
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  11. 11
    Unique class encryption (UCE) substitution boxes (S-Boxes) using mysterious Quranic for block ciphers in ICT security

    Unique class encryption (UCE) substitution boxes (S-Boxes) using mysterious Quranic for block ciphers in ICT security by Shamsudin, Ahmad Faizul, Suhaimi, Mohd Adam, Makarin, Rusydi Hasan, Jaafar, Abi Dzar

    Published 2010
    “…The current parametric encryption algorithms suffer the unconventional and paranormal attacks. …”
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  12. 12
    A Toolkit for Simulation of Desktop Grid Environment

    A Toolkit for Simulation of Desktop Grid Environment by FOROUSHAN, PAYAM CHINI

    Published 2014
    “…A simulator for desktop grid environment has been developed using Java as the implementation language due to its wide popularity. …”
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    Final Year Project
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  13. 13
    Network game (Literati) / Chung Mei Kuen

    Network game (Literati) / Chung Mei Kuen by Chung, Mei Kuen

    Published 2003
    “…With the powerful networking features of Java applet, it is expected that this project would produce a real game engine. …”
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  14. 14
    Application of genetic algorithm and JFugue in an evolutionary music generator

    Application of genetic algorithm and JFugue in an evolutionary music generator by Tang, Jia Rou

    Published 2025
    “…This project explores the application of Genetic Algorithms (GA) with JFugue, which is a Java-based music programming library to develop an Evolutionary Music Generator. …”
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  15. 15
    Route Optimization System

    Route Optimization System by Zulkifli, Abdul Hayy

    Published 2005
    “…Using that process, we have settled on Java as our development platform as we found it able to both implement DA and the GIS component (map display and manipulation). …”
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  16. 16
    Improve cloud computing security using RSA encryption with Fermat's little theorem

    Improve cloud computing security using RSA encryption with Fermat's little theorem by Mohamed Shereek, Balkees, Muda, Zaiton, Yasin, Sharifah

    Published 2014
    “…By using Fermat's theorem can be speed up the RSA Encryption.…”
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  17. 17
    Enhancing speed performance of the cryptographic algorithm based on the lucas sequence

    Enhancing speed performance of the cryptographic algorithm based on the lucas sequence by M. Abulkhirat, Esam

    Published 2003
    “…More specifically, these include encryption, decryption, authentication, digital signature algorithms and message-digest functions. …”
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  18. 18
    Prevention And Detection Mechanism For Security In Passive Rfid System

    Prevention And Detection Mechanism For Security In Passive Rfid System by Khor, Jing Huey

    Published 2013
    “…The proposed protocol implemented in real RFID system outperforms other related protocols because of 13.46 % shorter read time and write time consumed. …”
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  19. 19
    Efficient kerberos authentication scheme for cross-domain systems in industrial internet of things using ECC

    Efficient kerberos authentication scheme for cross-domain systems in industrial internet of things using ECC by Ismail, Haqi Khalid

    Published 2021
    “…The design combined symmetric key encryption (AES) for the message encryption with the asymmetric key encryption (ECC). …”
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  20. 20
    A Machine Learning Classification Approach to Detect TLS-based Malware using Entropy-based Flow Set Features

    A Machine Learning Classification Approach to Detect TLS-based Malware using Entropy-based Flow Set Features by Keshkeh, Kinan, Jantan, Aman, Alieyan, Kamal

    Published 2022
    “…Due to the complexity of TLS traffic decryption, several anomaly-based detection studies have been conducted to detect TLS-based malware using different features and machine learning (ML) algorithms. …”
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