Article Per Year (5 Year)
p-Index From 2021 - 2026
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This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Evaluation and Research in Education (IJERE) Bulletin of Electrical Engineering and Informatics
Ammar Odeh
Princess Sumaya University for Technology
Computer Science & IT Education Electrical & Electronics Engineering Engineering

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Impact of COVID-19 pandemic on education: Moving towards e-learning paradigm Ammar Odeh; Ismail Keshta
International Journal of Evaluation and Research in Education (IJERE) Vol 11, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v11i2.21945

Abstract

Besides the economic impact and loss of jobs and revenues, COVID-19 have a great impact on the education sector, with several learning institutions across the world remaining shut down for months. This study evaluated the impact of COVID-19 pandemic on education. The study employed a cross-sectional study design in which data was collected using qualitative methods from various education stakeholders as well as secondary literature. The result showed that learning has severely been affected by the strict protocols adopted by various governments in response to COVID-19 pandemic. The major responses to COVID-19 like closing up schools have left most learners hopeless as they cannot afford the recommended online learning. The major responses to COVID-19 at the few operating schools include: wearing masks, hand sanitization, regular hand washing, constant temperature check for both staff and learners, and lastly change on the sitting arrangements as students are required to maintain a social distance of at least 1.5 meters. Moreover, closure of schools has also had a severe impact on the co-curricular activities that are always undertaken within the academic institutions like athletics, drama and ball games. Measures should be put in place by various governments to ensure that all learners have access to equitable, quality and inclusive forms of education during the present COVID-19 pandemic.
Techniques of medical image encryption taxonomy Mustafa A. Al-Fayoumi; Ammar Odeh; Ismail Keshta; Ashraf Ahmad
Bulletin of Electrical Engineering and Informatics Vol 11, No 4: August 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i4.3850

Abstract

Medical images are one of the most significant and sensitive data types in computer systems. Sending medical images over the internet necessitates using a robust encryption scheme that is resistant to cryptographic attacks. Confidentiality is the most critical part of the three security objectives for information systems security, namely confidentiality, integrity, and availability. Confidentiality is the most critical aspect for the secure storage and transfer of medical images. In this study, we attempt to classify various encryption methods in order to assist researchers in selecting the optimal strategy for protecting sensitive patient information while transferring medical images without alteration and outline the measures that should be adopted to address challenges and concerns relevant to techniques of medical image encryption.
Medical image encryption techniques: a technical survey and potential challenges Ammar Odeh; Qasem Abu Al-Haija
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 3: June 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i3.pp3170-3177

Abstract

Among the most sensitive and important data in telemedicine systems are medical images. It is necessary to use a robust encryption method that is resistant to cryptographic assaults while transferring medical images over the internet. Confidentiality is the most crucial of the three security goals for protecting information systems, along with availability, integrity, and compliance. Encryption and watermarking of medical images address problems with confidentiality and integrity in telemedicine applications. The need to prioritize security issues in telemedicine applications makes the choice of a trustworthy and efficient strategy or framework all the more crucial. The paper examines various security issues and cutting-edge methods to secure medical images for use with telemedicine systems.
Ultra-lightweight hybrid authentication for MQTT/MQTT-SN internet of thing security Nabeel Alassaf; Selvakumar Manickam; Ammar Odeh; Mohammed Anbar
Bulletin of Electrical Engineering and Informatics Vol 15, No 3: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i3.11907

Abstract

The rapid growth of internet of thing (IoT) has increased the need for secure communication among resource-constrained devices using lightweight protocols such as message queuing telemetry transport (MQTT) and message queuing telemetry transport for sensor network (MQTT-SN). Traditional certificate-based solutions introduce significant computational and memory overhead for low-power devices. This paper proposes the hybrid lightweight protocol (HLP), a certificate-free approach combining elliptic-curve key exchange, hash-based message authentication code (HMAC)-based authentication, and ChaCha20-Poly1305 encryption. HLP uses pre-shared keys to reduce handshake complexity while maintaining confidentiality, integrity, and mutual authentication across MQTT and MQTT-SN environments. A Python-based implementation using paho-mqtt was evaluated in a constrained-device testbed. Experimental results show that HLP achieves lower handshake latency (-20–24 ms) and reduced bandwidth overhead (-130 bytes) compared with elliptic curve Diffie-Hellman ephemeral-pre-shared key (ECDHE-PSK) and elliptic curve Diffie-Hellman ephemeral-elliptic curve digital signature algorithm (ECDHE-ECDSA), while still supporting forward secrecy. These findings demonstrate that HLP is an efficient and practical solution for securing IoT communications on constrained devices.
A comprehensive survey of cyberbullying on social media: challenges, detection, and AI-based prevention Ammar Odeh; Osama Alhaj Hassan; Anas Abu Taleb; Abobakr Aboshgifa; Nabil Belhaj
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 1: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i1.pp86-96

Abstract

Cyberbullying is a pervasive issue in the digital landscape, particularly on social media platforms, where individuals engage in online harassment, intimidation, and abuse. Unlike traditional bullying, cyberbullying has a broader reach, anonymity, and persistence, making it a growing concern for mental health, social well-being, and online safety. This paper provides a comprehensive survey of cyberbullying trends, its psychological and social impacts, and the role of social media in amplifying the problem. It explores existing detection and prevention strategies, including artificial intelligence (AI)-driven approaches, policy frameworks, and platform-based moderation techniques. Furthermore, it discusses challenges in enforcement, the limitations of automated detection systems, and the need for improved legal measures. This paper uniquely contributes an integrated perspective on cyberbullying detection and prevention by synthesizing current research across psychological, sociocultural, and technical dimensions. It emphasizes underexplored gaps such as multilingual detection, real-time moderation, and cross-platform enforcement, and proposes a layered framework to guide future research and policy.
Co-Authors Abobakr Aboshgifa Anas Abu Taleb Ashraf Ahmad Ismail Keshta Mohammed Anbar Mustafa A. Al-Fayoumi Nabeel Alassaf Nabil Belhaj Osama Alhaj Hassan Qasem Abu Al-Haija Selvakumar Manickam