Evaluating the multi-purpose encryption (MPE) algorithm: efficiency, security, and adaptability for multilingual text encryption in real-time applications

Saleem S. Sharqy; Bi-Lynn Ong; Naimah Yaakob

Author(s)

Saleem S. Sharqy Faculty of Electronic Engineering and Technology, Universiti Malaysia Perlis, Pauh Putra, Arau Perlis, Malaysia; Department of Religious education and Islamic studies, Baghdad, Iraq

Bi-Lynn Ong Centre of Excellence for Advanced Computing, Faculty of Electronic Engineering and Technology (FKTEN),Universiti Malaysia Perlis (UniMAP), Pauh Putra Campus, Arau, Perlis,Malaysia

Naimah Yaakob Faculty of Electronic Engineering and Technology,Universiti Malaysia Perlis, Pauh Putra, Arau Perlis,Malaysia

Abstract

This paper evaluates the Multi-Purpose Encryption (MPE) Algorithm for its efficiency, security, and adaptability in encrypting and decrypting diverse text-based data, particularly in real-time applications. The algorithm is tested across multiple character sets, including uppercase and lowercase English letters, Arabic text, and special characters. It demonstrates its capability to transform plaintext into ciphertext while maintaining minimal computational overhead securely. Performance analysis reveals that encryption is executed within microseconds for short texts, whereas decryption requires slightly longer processing time due to the complexity of reversing the transformation. The algorithm exhibits scalability, efficiently handling large inputs, making it suitable for multilingual text security applications such as cloudbased systems and Software-Defined Networking (SDN). Additionally, the MPE Algorithm strengthens security by integrating non-standard character transformations, enhancing resistance against cryptographic attacks. Results indicate that encryption and decryption times scale proportionally with input size, confirming the algorithm's computational efficiency and real-time applicability. This research highlights the MPE Algorithm as a promising solution for secure communication and data protection, particularly in modern digital security frameworks. Future work should focus on optimizing the algorithm through hardware acceleration, refining transformation techniques, and benchmarking against standardized cryptographic methods to further enhance its performance and applicability in dynamic networking environments.

Publication Details

Page(s) 674-687

DOI DOI not available

Published Journal: ARPN Journal of Engineering and Applied Sciences, Volume: 20, Issue: 11, Year: 2025

Request the full text from PASTIC

Keywords

Encryption, MPE algorithm, Small and capital letters in English, Text data characters

References

Alkanhel R.,Ali A.,Jamil F.,Nawaz M.,Mehmood F.,Muthanna A. .2022 .Intelligent Transmission Control for Efficient Operations in SDN. , 71(2) : .

Bhuyan M.,Kashihara S.,Fall D.,Taenaka Y.,Kadobayashi Y. .2022 .A survey on blockchain, SDN, and NFV for smart-home security. Internet of Things, 20 : 100588.

Burhan M.,Alam H.,Arsalan A.,Rehman R. A.,Anwar M.,Faheem M.,Ashraf M. W. .2023 .A comprehensive survey on the cooperation of fog computing paradigm-based IoT applications: layered architecture, real-time security issues, and solutions. IEEE Access, 11 : 73303-73329.

Elhaloui L.,Tabaa M.,Elfilali S.,Benlahmer E. .2023 .Dynamic security of IoT network traffic using SDN. Procedia Computer Science, 220 : 356-363.

Feltovic M. .2025 .Cryptographic Foundations for Blockchain Security in Decentralized Networks. MEST Journal, 13(1) : .

Ismail S. N.,Salih M. H. .2020 .1)). In AIP Conference Proceedings, 2213 : .

Ismail S. N.,Rashidi C. B. M.,Salih M. H.,Mahrom N. .2023 .1)). In AIP Conference Proceedings, 2579 : .

Ismail S. N.,Salih M. H.,Wahab Y. .2018 .Design and implementation of an embedded vision-based tracking system for multiple objects using FPGASOC. ARPN Journal of Engineering and Applied Sciences, 13(3) : 1085-1097.

Kadhim A. J.,Naser J. I. .2021 .Proactive load balancing mechanism for fog computing supported by parked vehicles in IoV-SDN. China Communications, 18(2) : 271-289.

Kales D.,Zaverucha G.,December. G. .2020 .An attack on some signature schemes constructed from five-pass identification schemes. In International Conference on Cryptology and Network Security, : 3-22.

Khadir A. A.,Seno S. A. H. .2021 .SDN-based offloading policy to reduce the delay in fog-vehicular networks. Peer Networking and Applications, 14(3) : 1261-1275.

Khan N. A.,Awang A.,Karim S. A. A. .2022 .Security in Internet of Things: A review. IEEE Access, 10 : 104649-104670.

Kim S.,Park K. J.,Lu C. .2022 .A survey on network security for cyber-physical systems: From threats to resilient design. IEEE Communications Surveys & Tutorials, 24(3) : 1534-1573.

Knapińska A.,Goścień R.,Lechowicz P.,Walkowiak K. .2023 .Link load prediction in an optical network with restoration mechanisms. Journal of Optical Communications and Networking, 15(5) : B42-B52.

Mohanta B. K.,Jena D.,Satapathy U.,Patnaik S. .2020 .Survey on IoT security: Challenges and solutions using machine learning, artificial intelligence, and blockchain technology. Internet of Things, 11 : 100227.

Morales A. N.,Bishwas A. K.,Varghese J. J. .2025 .Quantum-enabled framework for the Advanced Encryption Standard in the post-quantum era. arXiv preprint arXiv:2502, : 02445.

Nam Nguyen H.,Fowler S.,Souihi S. .2021 .A survey of Blockchain technologies applied to software-defined networking: Research challenges and solutions. IET Wireless Sensor Systems, 11(6) : 233-247.

Rahman M. A. .2025 .Detection of distributed denial of service attacks based on machine learning algorithms. arXiv preprint arXiv:2502, : 00975.

Rzym G.,Boryło P.,Chołda P. .2020 .A timeefficient shrinkage algorithm for the Fourier-based prediction enabling proactive optimisation in software‐defined networks. International Journal of Communication Systems, 33(12) : e4448.

Scott-Hayward S.,Natarajan S.,Sezer S. .2016 .A survey of security in software-defined networks. IEEE Communications Surveys and Tutorials, 18(1) : 623-654semanticscholar.

Shi L.,Wu L.,Guan Z. L. .2021 .Three-layer hybrid intrusion detection model for smart home malicious attacks. Computers & Electrical Engineering, 96 : 107536.

Walkowiak K.,Szostak D.,Włodarczyk A.,Kasprzak A. .2023 .Long-term traffic forecasting in optical networks using Machine Learning. International Journal of Electronics and Telecommunications, 751 : 762.

Wani A.,Revathi S. .2020 .DDoS detection and alleviation in IoT using SDN (SDIoT-DDoS-DA). Journal of the Institution of Engineers (India): Series B, 101(2) : 117-128.

Weger V.,Gassner N.,Rosenthal J. .2022 .A survey on code-based cryptography. arXiv preprint arXiv:2201, : 07119.

Yan B.,Liu Q.,Shen J.,Liang D.,Zhao B.,Ouyang L. .2021 .A survey of low-latency transmission strategies in software-defined networking. Computer Science Review, 40 : 100386.