Deep residual learning for image recognition: A survey

M Shafiq, Z Gu - Applied Sciences, 2022 - mdpi.com
Deep Residual Networks have recently been shown to significantly improve the
performance of neural networks trained on ImageNet, with results beating all previous …

Blockchain intelligence for internet of vehicles: Challenges and solutions

X Wang, H Zhu, Z Ning, L Guo… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
With the development of communication and networking technologies, the Internet of
Vehicles (IoV) has become the foundation of smart transportation. The development of …

Future smart cities: Requirements, emerging technologies, applications, challenges, and future aspects

AR Javed, F Shahzad, S ur Rehman, YB Zikria… - Cities, 2022 - Elsevier
Future smart cities are the key to fulfilling the ever-growing demands of citizens. Information
and communication advancements will empower better administration of accessible …

Cyber security in iot-based cloud computing: A comprehensive survey

W Ahmad, A Rasool, AR Javed, T Baker, Z Jalil - Electronics, 2021 - mdpi.com
Cloud computing provides the flexible architecture where data and resources are dispersed
at various locations and are accessible from various industrial environments. Cloud …

Integration of blockchain technology and federated learning in vehicular (iot) networks: A comprehensive survey

AR Javed, MA Hassan, F Shahzad, W Ahmed, S Singh… - Sensors, 2022 - mdpi.com
The Internet of Things (IoT) revitalizes the world with tremendous capabilities and potential
to be utilized in vehicular networks. The Smart Transport Infrastructure (STI) era depends …

A comprehensive survey of AI-enabled phishing attacks detection techniques

A Basit, M Zafar, X Liu, AR Javed, Z Jalil… - Telecommunication …, 2021 - Springer
In recent times, a phishing attack has become one of the most prominent attacks faced by
internet users, governments, and service-providing organizations. In a phishing attack, the …

Analysis of cyber security attacks and its solutions for the smart grid using machine learning and blockchain methods

T Mazhar, HM Irfan, S Khan, I Haq, I Ullah, M Iqbal… - Future Internet, 2023 - mdpi.com
Smart grids are rapidly replacing conventional networks on a worldwide scale. A smart grid
has drawbacks, just like any other novel technology. A smart grid cyberattack is one of the …

A comprehensive survey on computer forensics: State-of-the-art, tools, techniques, challenges, and future directions

AR Javed, W Ahmed, M Alazab, Z Jalil, K Kifayat… - IEEE …, 2022 - ieeexplore.ieee.org
With the alarmingly increasing rate of cybercrimes worldwide, there is a dire need to combat
cybercrimes timely and effectively. Cyberattacks on computing machines leave certain …

Hand gesture classification using a novel CNN-crow search algorithm

TR Gadekallu, M Alazab, R Kaluri… - Complex & Intelligent …, 2021 - Springer
Human–computer interaction (HCI) and related technologies focus on the implementation of
interactive computational systems. The studies in HCI emphasize on system use, creation of …

The Rise of “Internet of Things”: Review and Open Research Issues Related to Detection and Prevention of IoT‐Based Security Attacks

M Shafiq, Z Gu, O Cheikhrouhou… - Wireless …, 2022 - Wiley Online Library
This paper provides an extensive and complete survey on the process of detecting and
preventing various types of IoT‐based security attacks. It is designed for software …