Falsification detection system for IoV using randomized search optimization ensemble algorithm

GO Anyanwu, CI Nwakanma, JM Lee… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Falsification detection is a critical advance in ensuring that real-time information about
vehicles and their movement states is certified on the Internet of Vehicles (IoV). Thus …

[HTML][HTML] Novel hyper-tuned ensemble random forest algorithm for the detection of false basic safety messages in internet of vehicles

GO Anyanwu, CI Nwakanma, JM Lee, DS Kim - ICT Express, 2023 - Elsevier
Detection of nodes disseminating false data is a prerequisite for effective deployment of
Internet of Vehicles (IoV) services. This work proposed a novel hyper-tuned ensemble …

Real-time position falsification attack detection system for internet of vehicles

GO Anyanwu, CI Nwakanma, JM Lee… - 2021 26th IEEE …, 2021 - ieeexplore.ieee.org
Ensuring secured and reliable dissemination of information for a mission-critical system
such as the Internet of Vehicle (IoV) in real-time is of utmost importance. In this work, a False …

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 …

Deep learning to improve false data injection attack detection in cooperative intelligent transportation systems

SA Almalki, FT Sheldon - 2021 IEEE 12th Annual Information …, 2021 - ieeexplore.ieee.org
This work proposes a local-global fuzzy-clustering feature extraction scheme for detecting
False Data Injection Attacks (FDIA). In this scheme, the data undergo several pre-processing …

[HTML][HTML] Edge computing and blockchain for quick fake news detection in IoV

Y Xiao, Y Liu, T Li - Sensors, 2020 - mdpi.com
The dissemination of false messages in Internet of Vehicles (IoV) has a negative impact on
road safety and traffic efficiency. Therefore, it is critical to quickly detect fake news …

Machine learning based misbehaviour detection in VANET using consecutive BSM approach

A Sharma, A Jaekel - IEEE Open Journal of Vehicular …, 2021 - ieeexplore.ieee.org
Vehicular ad-hoc network (VANET) is an emerging technology for vehicle-to-vehicle
communication vital for reducing road accidents and traffic congestion in an Intelligent …

ODPV: An efficient protocol to mitigate data integrity attacks in intelligent transport systems

MA Javed, MZ Khan, U Zafar, MF Siddiqui… - IEEE …, 2020 - ieeexplore.ieee.org
Intelligent Transport Systems (ITS) require accurate information to be shared among
vehicles and infrastructure nodes for applications including accident information or pre …

Reinforcement learning based misbehavior detection in vehicular networks

R Sedar, C Kalalas, F Vázquez-Gallego… - ICC 2022-IEEE …, 2022 - ieeexplore.ieee.org
Vehicle-to-everything (V2X) communication is contributing towards the realization of
futuristic vehicular networks such as Internet-of-Vehicles (IoV). The IoV is expected to usher …

[PDF][PDF] A review on data falsification-based attacks in cooperative intelligent transportation systems

SA Almalki, J Song - Int. J. Comput. Sci. Secur.(IJCSS), 2020 - researchgate.net
Abstract Cooperative Intelligent Transportation System (cITS) is one of IoT applications
whose purpose is to enhance drive safety and efficiency. Several components constitute …