Network intrusion detection system: A systematic study of machine learning and deep learning approaches

Z Ahmad, A Shahid Khan, C Wai Shiang… - Transactions on …, 2021 - Wiley Online Library
The rapid advances in the internet and communication fields have resulted in a huge
increase in the network size and the corresponding data. As a result, many novel attacks are …

[HTML][HTML] Managing natural disasters: An analysis of technological advancements, opportunities, and challenges

M Krichen, MS Abdalzaher, M Elwekeil… - Internet of Things and …, 2023 - Elsevier
Natural disasters (NDs) have always been a major threat to human lives and infrastructure,
causing immense damage and loss. In recent years, the increasing frequency and severity …

Early detection of earthquakes using iot and cloud infrastructure: A survey

MS Abdalzaher, M Krichen, D Yiltas-Kaplan… - Sustainability, 2023 - mdpi.com
Earthquake early warning systems (EEWS) are crucial for saving lives in earthquake-prone
areas. In this study, we explore the potential of IoT and cloud infrastructure in realizing a …

Employing machine learning and iot for earthquake early warning system in smart cities

MS Abdalzaher, HA Elsayed, MM Fouda, MM Salim - Energies, 2023 - mdpi.com
An earthquake early warning system (EEWS) should be included in smart cities to preserve
human lives by providing a reliable and efficient disaster management system. This system …

Data privacy preservation and security in smart metering systems

MS Abdalzaher, MM Fouda, MI Ibrahem - Energies, 2022 - mdpi.com
Smart meters (SMs) can play a key role in monitoring vital aspects of different applications
such as smart grids (SG), alternative currents (AC) optimal power flows, adversarial training …

Comparative analysis of intrusion detection systems and machine learning based model analysis through decision tree

Z Azam, MM Islam, MN Huda - IEEE Access, 2023 - ieeexplore.ieee.org
Cyber-attacks pose increasing challenges in precisely detecting intrusions, risking data
confidentiality, integrity, and availability. This review paper presents recent IDS taxonomy, a …

Dynamic bargain game theory in the internet of things for data trustworthiness

AC Sumathi, M Akila, R Pérez de Prado, M Wozniak… - Sensors, 2021 - mdpi.com
Smart home and smart building systems based on the Internet of Things (IoT) in smart cities
currently suffer from security issues. In particular, data trustworthiness and efficiency are two …

A deep autoencoder trust model for mitigating jamming attack in IoT assisted by cognitive radio

MS Abdalzaher, M Elwekeil, T Wang… - IEEE Systems …, 2021 - ieeexplore.ieee.org
This article proposes deep learning (DL) framework constructed using deep autoencoder
(DAE) to detect the malicious nodes in an Internet of Things (IoT) network assisted by the …

Employing remote sensing, data communication networks, ai, and optimization methodologies in seismology

MS Abdalzaher, HA Elsayed… - IEEE Journal of Selected …, 2022 - ieeexplore.ieee.org
Seismology is among the intrinsic sciences that strictly affect human lives. Many research
efforts are presented in the literature aiming at achieving risk mitigation and disaster …

A survey on key management and authentication approaches in smart metering systems

MS Abdalzaher, MM Fouda, A Emran, ZM Fadlullah… - Energies, 2023 - mdpi.com
The implementation of the smart grid (SG) and cyber-physical systems (CPS) greatly
enhances the safety, reliability, and efficiency of energy production and distribution. Smart …