Advancements and Challenges in Networking Technologies: A Comprehensive Survey

MA Shihab, SA Aswad, RN Othman… - 2023 7th International …, 2023 - ieeexplore.ieee.org
This survey paper provides a comprehensive overview of emerging technologies in
networking, focusing on caching in Information-Centric Networking (ICN), context-aware …

Building a Smart System for Preservation of Government Records in Digital Form

AI Shaban, MA Farhan… - … International Congress on …, 2022 - ieeexplore.ieee.org
In this research paper, we concentrated on the development of a smart system for the
preservation of Government of Iraq records in digital format. In literature, many existing …

Analyzing The Employee Turnover by Using Decision Tree Algorithm

SR Ahmed, AK Ahmed… - 2023 5th International …, 2023 - ieeexplore.ieee.org
In knowledge-based organizations, employee turnover is a significant challenge. Frequently,
a company's competitive advantage can be traced back to the tacit knowledge of its …

Survey On Recognition Hand Gesture By Using Data Mining Algorithms

LI Khalaf, SA Aswad, SR Ahmed… - … Congress on Human …, 2022 - ieeexplore.ieee.org
We investigated the usage of hand motion recognition using data mining approaches. In
gesture detection applications, I've discovered that employing data mining to recognize …

Towards Resilient Machine Learning Models: Addressing Adversarial Attacks in Wireless Sensor Network

MA Shihab, HA Marhoon, SR Ahmed… - Journal of Robotics …, 2024 - journal.umy.ac.id
Adversarial attacks represent a substantial threat to the security and reliability of machine
learning models employed in wireless sensor networks (WSNs). This study tries to solve this …

Optimizing network security with machine learning and multi-factor authentication for enhanced intrusion detection

RK Mahmood, AI Mahameed, NQ Lateef… - Journal of Robotics …, 2024 - journal.umy.ac.id
This study examines the utilization of machine learning methodologies and multi-factor
authentication (MFA) to bolster network security, specifically targeting network intrusion …

Enhanced Network Traffic Classification with Machine Learning Algorithms

IA Najm, AH Saeed, BA Ahmad, SR Ahmed… - Proceedings of the …, 2024 - dl.acm.org
Network traffic classification plays a critical role in maintaining the security and efficiency of
modern computer networks. Existing techniques often have problems effectively identifying …

Blockchain: the next direction of digital payment in drug purchase

I Al Barazanchi, HR Abdulshaheed… - … Congress on Human …, 2022 - ieeexplore.ieee.org
Several years ago, an unknown person/group proposed the coined term Bitcoin, described
how the innovation of the blockchain, a peer-to-peer correlated structure, could be used to …

A Novel Approach to Malware Detection using Machine Learning and Image Processing

SR Ahmed, SJ Mohamed, MS Aljanabi… - Proceedings of the …, 2024 - dl.acm.org
Studies have emphasized the limitations of existing methods in effectively detecting
advanced strains of malware. To address this gap, this research presents a novel approach …

Adaptive Intrusion Detection System Using Deep Learning for Network Security

A Fenjan, MTM Almashhadany, SR Ahmed… - Proceedings of the …, 2024 - dl.acm.org
Cybersecurity threats are significant risks to the networks of today; hence, information
security solutions like intrusion detection systems (IDS) are urgent to guard against …