Edge computing and deep learning enabled secure multitier network for internet of vehicles
Internet of Vehicles (IoVs) are fast becoming the norm in our society, but such a trend also
comes with its own set of challenges (eg, new security and privacy risks due to the …
comes with its own set of challenges (eg, new security and privacy risks due to the …
Ai-based intrusion detection systems for in-vehicle networks: A survey
The Controller Area Network (CAN) is the most widely used in-vehicle communication
protocol, which still lacks the implementation of suitable security mechanisms such as …
protocol, which still lacks the implementation of suitable security mechanisms such as …
[HTML][HTML] A federated learning framework for cyberattack detection in vehicular sensor networks
Abstract Vehicular Sensor Networks (VSN) introduced a new paradigm for modern
transportation systems by improving traffic management and comfort. However, the …
transportation systems by improving traffic management and comfort. However, the …
Transfer learning based intrusion detection scheme for Internet of vehicles
X Li, Z Hu, M Xu, Y Wang, J Ma - Information Sciences, 2021 - Elsevier
As a new type of network, the types of attack in the Internet of Vehicles (IoV) are constantly
emerging and changing. Consequently, the machine learning based intrusion detection …
emerging and changing. Consequently, the machine learning based intrusion detection …
Securing the internet of vehicles: A deep learning-based classification framework
Along with the various technological advancements, the next generation vehicular networks
such as the Internet of Vehicles (IoV) also bring in various cybersecurity challenges. To …
such as the Internet of Vehicles (IoV) also bring in various cybersecurity challenges. To …
Blockchain and federated learning for collaborative intrusion detection in vehicular edge computing
H Liu, S Zhang, P Zhang, X Zhou… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The vehicular networks constructed by interconnected vehicles and transportation
infrastructure are vulnerable to cyber-intrusions due to the expanded use of software and the …
infrastructure are vulnerable to cyber-intrusions due to the expanded use of software and the …
[HTML][HTML] 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 …
A machine-learning-based data-centric misbehavior detection model for internet of vehicles
P Sharma, H Liu - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) boosts road safety, efficiency, and infotainment by connecting
vehicles to form the Internet of Vehicles (IoV). Specifically to safety, IoV complements …
vehicles to form the Internet of Vehicles (IoV). Specifically to safety, IoV complements …
Intrusion, anomaly, and attack detection in smart vehicles
ST Banafshehvaragh, AM Rahmani - Microprocessors and Microsystems, 2023 - Elsevier
With the advancement of technology and Internet penetration in all aspects of life in today's
modern world, smart vehicles, particularly connected vehicles, are rising. As a result, as …
modern world, smart vehicles, particularly connected vehicles, are rising. As a result, as …
Deep learning approaches for anomaly-based intrusion detection systems: A survey, taxonomy, and open issues
A Aldweesh, A Derhab, AZ Emam - Knowledge-Based Systems, 2020 - Elsevier
The massive growth of data that are transmitted through a variety of devices and
communication protocols have raised serious security concerns, which have increased the …
communication protocols have raised serious security concerns, which have increased the …