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 …
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 …
disciplines as it is multidisciplinary research. Sustainability for the IoV requires solutions …
Big data challenges and opportunities in Internet of Vehicles: a systematic review
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 …
emerged as a transformative paradigm to change intelligent transportation systems. With the …
Machine learning-based intrusion detection system: an experimental comparison
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 …
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
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 …
the cyclical surge in security incidents. Since more Internet of Things (IoT) devices are being …
RSU-based online intrusion detection and mitigation for VANET
Secure vehicular communication is a critical factor for secure traffic management. Effective
security in intelligent transportation systems (ITS) requires effective and timely intrusion …
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 …
significant enhancements in road safety and efficiency. However, the susceptibility of …
Adaptative perturbation patterns: Realistic adversarial learning for robust intrusion detection
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 …
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 …
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
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 …
suffer from severe injuries. Moreover, these accidents cause economic losses worldwide …