Applications of ML/DL in the management of smart cities and societies based on new trends in information technologies: A systematic literature review

A Heidari, NJ Navimipour, M Unal - Sustainable Cities and Society, 2022 - Elsevier
The goal of managing smart cities and societies is to maximize the efficient use of finite
resources while enhancing the quality of life. To establish a sustainable urban existence …

A decade review on smart cities: paradigms, challenges and opportunities

T Singh, A Solanki, SK Sharma, A Nayyar… - IEEE Access, 2022 - ieeexplore.ieee.org
Smart City has been an emerging research domain for Government, Businesses, and
researchers in the last few years. The Indian government is also interested and investing lots …

Optimization of RBF-SVM kernel using grid search algorithm for DDoS attack detection in SDN-based VANET

GO Anyanwu, CI Nwakanma, JM Lee… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The dynamic nature of the vehicular space exposes it to distributed malicious attacks
irrespective of the integration of enabling technologies. The software-defined network (SDN) …

DeepAK-IoT: An effective deep learning model for cyberattack detection in IoT networks

W Ding, M Abdel-Basset, R Mohamed - Information Sciences, 2023 - Elsevier
Our daily lives have been profoundly changed over the past few years owing to the growing
presence of the Internet of Things (IoT). Importantly, IoT makes our lives more convenient …

AI techniques for IoT-based DDoS attack detection: Taxonomies, comprehensive review and research challenges

B Bala, S Behal - Computer science review, 2024 - Elsevier
Abstract Distributed Denial of Service (DDoS) attacks in IoT networks are one of the most
devastating and challenging cyber-attacks. The number of IoT users is growing …

Distributed denial of service attack detection for the Internet of Things using hybrid deep learning model

A Ahmim, F Maazouzi, M Ahmim, S Namane… - IEEE …, 2023 - ieeexplore.ieee.org
As a result of the widespread adoption of the Internet of Things, there are now hundreds of
millions of connected devices, increasing the likelihood that they may be vulnerable to …

Blockchain for future wireless networks: A decade survey

T Rathod, NK Jadav, MD Alshehri, S Tanwar… - Sensors, 2022 - mdpi.com
The emerging need for high data rate, low latency, and high network capacity encourages
wireless networks (WNs) to build intelligent and dynamic services, such as intelligent …

DDoS attack detection in IoT environment using optimized Elman recurrent neural networks based on chaotic bacterial colony optimization

MIT Hussan, GV Reddy, PT Anitha, A Kanagaraj… - Cluster …, 2023 - Springer
Abstract The Internet of Things (IoT) is made up of billions of interconnected devices that can
transmit and receive data over the Internet. IoT devices have many vulnerabilities that …

Federated Deep Reinforcement Learning for Efficient Jamming Attack Mitigation in O-RAN

Z Abou El Houda, H Moudoud… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Open RAN (ORAN or O-RAN) revolutionizes Radio Access Networks (RAN) by offering
flexibility and cost-efficiency through inter-vendor equipment interoperability. More …

[PDF][PDF] Multi-Zone-Wise Blockchain Based Intrusion Detection and Prevention System for IoT Environment.

S Kably, T Benbarrad, N Alaoui… - Computers, Materials & …, 2023 - cdn.techscience.cn
Blockchain merges technology with the Internet of Things (IoT) for addressing security and
privacy-related issues. However, conventional blockchain suffers from scalability issues due …