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 …

[HTML][HTML] Evolving techniques in cyber threat hunting: A systematic review

A Mahboubi, K Luong, H Aboutorab, HT Bui… - Journal of Network and …, 2024 - Elsevier
In the rapidly changing cybersecurity landscape, threat hunting has become a critical
proactive defense against sophisticated cyber threats. While traditional security measures …

A distributed intrusion detection system to detect DDoS attacks in blockchain-enabled IoT network

R Kumar, P Kumar, R Tripathi, GP Gupta, S Garg… - Journal of Parallel and …, 2022 - Elsevier
Abstract The Internet of Things (IoT) is emerging as a new technology for the development of
various critical applications. However, these applications are still working on centralized …

A survey on cyber security threats in IoT-enabled maritime industry

I Ashraf, Y Park, S Hur, SW Kim… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Impressive technological advancements over the past decades commenced significant
advantages in the maritime industry sector and elevated commercial, operational, and …

[HTML][HTML] A stacking ensemble of deep learning models for IoT intrusion detection

R Lazzarini, H Tianfield, V Charissis - Knowledge-Based Systems, 2023 - Elsevier
The number of Internet of Things (IoT) devices has increased considerably in the past few
years, which resulted in an exponential growth of cyber attacks on IoT infrastructure. As a …

P2tif: A blockchain and deep learning framework for privacy-preserved threat intelligence in industrial iot

P Kumar, R Kumar, GP Gupta, R Tripathi… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
The industrial Internet of Things (IIoT) is a fast-growing network of Internet-connected
sensing and actuating devices aimed to enhance manufacturing and industrial operations …

Cyber threats detection in smart environments using SDN-enabled DNN-LSTM hybrid framework

M Al Razib, D Javeed, MT Khan, R Alkanhel… - IEEE …, 2022 - ieeexplore.ieee.org
Internet of Things (IoT) is an instantly exacerbated communication technology that is
manifesting miraculous effectuation to revolutionize conventional means of network …

[HTML][HTML] A metaheuristic-based ensemble feature selection framework for cyber threat detection in IoT-enabled networks

AK Dey, GP Gupta, SP Sahu - Decision Analytics Journal, 2023 - Elsevier
Abstract Internet of Things (IoT) enabled networks are highly vulnerable to cyber threats due
to insecure wireless communication, resource constraint architecture, different types of IoT …

[HTML][HTML] Knowledge based topic retrieval for recommendations and tourism promotions

RK Mishra, JAA Jothi, S Urolagin, K Irani - International Journal of …, 2023 - Elsevier
The Users regularly share their views on services through internet reviews. Digital tourism
allows travelers to plan and manage their trips ahead of time using the internet. The …

Intelligent intrusion detection system for VANET using machine learning and deep learning approaches

B Karthiga, D Durairaj, N Nawaz… - Wireless …, 2022 - Wiley Online Library
Detecting the attacks in Vehicular Ad hoc Network (VANET) system is very important to
provide more secure and reliable communication between all vehicles in the system. In this …