A hybrid intrusion detection model using ega-pso and improved random forest method

AK Balyan, S Ahuja, UK Lilhore, SK Sharma… - Sensors, 2022 - mdpi.com
Due to the rapid growth in IT technology, digital data have increased availability, creating
novel security threats that need immediate attention. An intrusion detection system (IDS) is …

The Internet of Vehicles and Sustainability—Reflections on Environmental, Social, and Corporate Governance

M Kostrzewski, M Marczewska, L Uden - Energies, 2023 - mdpi.com
The Internet of Vehicles (IoV) has generated great interest among researchers from different
disciplines as it is multidisciplinary research. Sustainability for the IoV requires solutions …

Big data challenges and opportunities in Internet of Vehicles: a systematic review

A Hemmati, M Zarei, AM Rahmani - International Journal of Pervasive …, 2024 - emerald.com
Purpose Big data challenges and opportunities on the Internet of Vehicles (IoV) have
emerged as a transformative paradigm to change intelligent transportation systems. With the …

Machine learning-based intrusion detection system: an experimental comparison

I Hidayat, MZ Ali, A Arshad - Journal of Computational and …, 2023 - ojs.bonviewpress.com
Recently, networks are moving toward automation and getting more and more intelligent.
With the advent of big data and cloud computing technologies, lots and lots of data are being …

Energy analysis-based cyber attack detection by IoT with artificial intelligence in a sustainable smart city

D Prabakar, M Sundarrajan, R Manikandan, NZ Jhanjhi… - Sustainability, 2023 - mdpi.com
Cybersecurity continues to be a major issue for all industries engaged in digital activity given
the cyclical surge in security incidents. Since more Internet of Things (IoT) devices are being …

RSU-based online intrusion detection and mitigation for VANET

A Haydari, Y Yilmaz - Sensors, 2022 - mdpi.com
Secure vehicular communication is a critical factor for secure traffic management. Effective
security in intelligent transportation systems (ITS) requires effective and timely intrusion …

DeepSecDrive: An explainable deep learning framework for real-time detection of cyberattack in in-vehicle networks

W Ding, I Alrashdi, H Hawash, M Abdel-Basset - Information Sciences, 2024 - Elsevier
Autonomous driving (AD) technologies are becoming increasingly popular, promising
significant enhancements in road safety and efficiency. However, the susceptibility of …

Adaptative perturbation patterns: Realistic adversarial learning for robust intrusion detection

J Vitorino, N Oliveira, I Praça - Future Internet, 2022 - mdpi.com
Adversarial attacks pose a major threat to machine learning and to the systems that rely on
it. In the cybersecurity domain, adversarial cyber-attack examples capable of evading …

[PDF][PDF] A hybrid deep learning-based intrusion detection system for IoT networks

NW Khan, MS Alshehri, MA Khan, S Almakdi… - Math. Biosci …, 2023 - aimspress.com
The Internet of Things (IoT) is a rapidly evolving technology with a wide range of potential
applications, but the security of IoT networks remains a major concern. The existing system …

A novel framework for detection and prevention of denial of service attacks on autonomous vehicles using fuzzy logic

M Sadaf, Z Iqbal, Z Anwar, U Noor, M Imran… - Vehicular …, 2024 - Elsevier
Every year, millions of people lose their lives due to road accidents, and countless others
suffer from severe injuries. Moreover, these accidents cause economic losses worldwide …