Review
Computer Science, Information Systems
Hamideh Taslimasa, Sajjad Dadkhah, Euclides Carlos Pinto Neto, Pulei Xiong, Suprio Ray, Ali A. Ghorbani
Summary: Nowadays, connected vehicles play a major role in enhancing the driving experience by sharing information through the Internet of Vehicles (IoV) network. However, this connectivity also raises risks such as privacy concerns and network security vulnerabilities.
INTERNET OF THINGS
(2023)
Article
Computer Science, Information Systems
Insaf Ullah, Muhammad Asghar Khan, Fazlullah Khan, Mian Ahmad Jan, Ram Srinivasan, Spyridon Mastorakis, Saddam Hussain, Hizbullah Khattak
Summary: The Internet of Vehicles (IoV) is an enhancement of vehicular ad-hoc networks that connects mobile vehicles to the Internet of Things (IoT) using 5G networks. This article proposes a new signcryption scheme for the multicast channel in a certificateless setting, which solves the key escrow problem and offers smaller key sizes compared to other encryption methods.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Hardware & Architecture
Siddhant Thapliyal, Mohammad Wazid, D. P. Singh, Ashok Kumar Das, S. K. Hafizul Islam
Summary: Internet of Vehicles (IoV) is a wireless network that uses established Internet protocols and networks to share information between vehicles, people, and infrastructure. Its aim is to increase road user safety and lower accident rates, making it a crucial component of intelligent transportation systems (ITS).
JOURNAL OF SYSTEMS ARCHITECTURE
(2023)
Article
Computer Science, Hardware & Architecture
Mohd Shariq, Karan Singh, Pramod Kumar Maurya, Ali Ahmadian, David Taniar
Summary: The study focuses on a new area of the Internet of Things - the Internet of Vehicles, proposing an anonymous and secure ultralightweight RFID protocol AnonSURP. By employing cross and left rotate operations for data encryption to reduce the overhead of RFID tags, the protocol aims to ensure user location privacy and data privacy, while providing fast certification speed.
JOURNAL OF SUPERCOMPUTING
(2022)
Article
Computer Science, Information Systems
Parveen, Sushil Kumar, Rishi Pal Singh, Arvind Kumar, Ritesh Yaduwanshi, Durga Prasad Dora
Summary: The presence of traffic lights in urban environments has a significant impact on vehicular connectivity. This paper proposes a Traffic Sensitive Connectivity-Aware Geocast Routing (TS-CAGR) protocol to minimize the impact of traffic signals on link connectivity. The protocol includes an adaptive path selection mechanism, next hop vehicle selection, and store-carry-retransmit approach to cope with frequent link disconnections.
Article
Computer Science, Information Systems
Abida Sharif, Muhammad Imran Sharif, Muhammad Attique Khan, Nisar Ali, Abdullah Alqahtani, Majed Alhaisoni, Ye Jin Kim, Byoungchol Chang
Summary: In this paper, a novel strategy mediator framework is proposed for efficient management of network resources to address the issues of latency and network congestion in IoV. The deployment of SDN controller and the use of recognizable bloom filters for caching and storage enhance routing flexibility and device interoperability.
CMC-COMPUTERS MATERIALS & CONTINUA
(2023)
Article
Computer Science, Information Systems
Jing Wang, Libing Wu, Huaqun Wang, Kim-Kwang Raymond Choo, Lianhai Wang, Debiao He
Summary: Internet of Vehicles (IoV) is an emerging technology for transportation systems, but security and privacy remain key concerns. Existing solutions have vulnerabilities, so designing secure and efficient solutions is still challenging. This article analyzes the weaknesses of a proposed authentication protocol and presents an improved protocol called SeMAV, which uses passwords and smart cards for enhanced security and provides security proofs against common attacks.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Hardware & Architecture
Palak Bagga, Anil Kumar Sutrala, Ashok Kumar Das, Pandi Vijayakumar
Summary: This research aims to design a novel blockchain-enabled batch authentication scheme to address security threats in IoV-based smart city deployment. By incorporating AI/ML algorithms into blockchain, the authenticity and genuineness of data stored in the blocks are ensured, enabling correct predictions to be made.
JOURNAL OF SYSTEMS ARCHITECTURE
(2021)
Article
Computer Science, Information Systems
Ruyan Wang, Zunwei Kan, Yaping Cui, Dapeng Wu, Yan Zhen
Summary: This article proposes a cooperative caching strategy with content request prediction (CCCRP) in IoV to reduce content acquisition delay by precaching contents requested by vehicles with greater probability in other vehicles or the roadside unit (RSU).
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Jiangtao Li, Yufeng Li, Chenhong Cao, Kwok-Yan Lam
Summary: This article proposes a privacy-preserving authentication scheme with abuse-resistant tracing to protect the identity privacy of vehicles in the Internet of Vehicles (IoV) system.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Insaf Ullah, Muhammad Asghar Khan, Neeraj Kumar, Ako Muhammad Abdullah, Abeer Abdulaziz AlSanad, Fazal Noor
Summary: The Internet of Vehicles (IoVs) is a wireless network that consists of intelligent and autonomous vehicles and Roadside Units (RSUs), with the aim of improving transportation services. It offers benefits such as traffic optimization and reduction of congestion and accidents, but also raises concerns regarding security and privacy. Therefore, ensuring the security and privacy of these vital systems is crucial, as flaws can have serious implications. Additionally, in areas with high traffic density, vehicles that need to verify messages face a significant computational overhead.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Computer Science, Information Systems
Xiaojie Wang, Laisen Nie, Zhaolong Ning, Lei Guo, Guoyin Wang, Xinbo Gao, Neeraj Kumar
Summary: This article studies the problem of end-to-end network traffic prediction in the backbone networks of Internet of Vehicles (IoV), and proposes a deep learning-based method which considers the spatio-temporal feature and long-range dependence of network traffic. Furthermore, a threshold-based update mechanism is introduced to improve the real-time performance of the method.
ACM TRANSACTIONS ON INTERNET TECHNOLOGY
(2022)
Article
Computer Science, Hardware & Architecture
Yongfeng Qian, Yin Zhang, Giancarlo Fortino, Yiming Miao, Long Hu, Kai Hwang
Summary: This article discusses the content caching problem in 5G-based cognitive Internet of Vehicles, designs a secure and delay-sensitive content caching scheme, and demonstrates through experiments that it outperforms traditional methods.
Article
Computer Science, Information Systems
Junhui Zhao, Huanhuan Hu, Fanwei Huang, Yingxuan Guo, Longxia Liao
Summary: This paper mainly summarizes three aspects of information security: IoT authentication technology, IoV trust management, and IoV privacy protection. It proposes an innovative user and device authentication model for industrial IoT, introduces a trust management model for mobile IoT applications, and proposes a cross-domain anonymous authentication system model based on blockchain for IoV privacy protection. The paper also discusses future research directions and potential improvements for each aspect.
Article
Telecommunications
Manik Gupta, Ram Bahadur Patel, Shaily Jain, Hitendra Garg, Bhisham Sharma
Summary: The vision of IoV has gained widespread acceptance due to the development of wireless technology. However, the use of blockchain in IoV poses challenges, and existing authentication and communication mechanisms lack lightweight characteristics. This article proposes a lightweight blockchain-based framework for IoV, with strong authentication and secure communication features.
TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES
(2022)
Article
Computer Science, Artificial Intelligence
Amit Kumar Jaiswal, Prayag Tiwari, M. Shamim Hossain
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Heena Rathore, Amr Mohamed, Mohsen Guizani, Shailendra Rathore
Summary: This paper introduces a machine learning approach called NueroFATH for the physical assessment of athletes. It uses neural networks and fuzzy c-means techniques to predict the potential of athletes winning medals. The study also identifies important physical characteristics related to the assessment results.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Computer Science, Theory & Methods
Honnesh Rohmetra, Navaneeth Raghunath, Pratik Narang, Vinay Chamola, Mohsen Guizani, Naga Rajiv Lakkaniga
Summary: The COVID-19 pandemic has overwhelmed healthcare systems and posed risks to healthcare professionals. Remote monitoring of patient symptoms using machine learning and deep learning techniques offers a promising solution, utilizing common devices like smartphones.
Article
Computer Science, Artificial Intelligence
Yuwen Chen, Bin Song, Yuan Zeng, Xiaojiang Du, Mohsen Guizani
Summary: This study proposes a fault diagnosis method for the current-carrying ring based on an improved CenterNet model in the Industrial Internet of Things. By using attention modules and weighted loss, the accuracy of fault diagnosis for the current-carrying rings is improved.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Mangena Venu Madhavan, Aditya Khamparia, Deepak Gupta, Sagar Pande, Prayag Tiwari, M. Shamim Hossain
Summary: Major countries are facing difficulties due to the COVID-19 pandemic. Existing medical practices, such as PCR and RT-PCR, may result in false positives and false negatives when identifying COVID-19 symptoms. CT imaging or X-rays of the lungs can provide more accurate identification of patients with COVID-19 symptoms. Automating the identification of COVID-19 using feasible technology can improve facilities. The Res-CovNet framework is a hybrid methodology that integrates different platforms into a single platform to identify and classify pneumonia and COVID-19 cases.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Engineering, Civil
Ghulam Muhammad, M. Shamim Hossain
Summary: This paper proposes light convolutional neural network (CNN) models for cognitive networking in an intelligent transportation system (ITS). The models include a 1D CNN for processing 1D temporal data and a deep tree CNN for processing image data from car camera sensors. By processing data independently on edge devices, the load and time of model execution are reduced. The proposed method achieves an accuracy of approximately 94-96% and an information density of 4.4 when tested on a publicly available facial emotion database.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Editorial Material
Computer Science, Theory & Methods
M. Shamim Hossain, Josu Bilbao, Diana P. P. Tobon, Abdulmotaleb El Saddik
Article
Engineering, Civil
Xiaoding Wang, Wenxin Liu, Hui Lin, Jia Hu, Kuljeet Kaur, M. Shamim Hossain
Summary: A hierarchical trajectory anomaly detection scheme is proposed for Intelligent Transportation Systems using machine learning and blockchain technologies, which can timely and effectively analyze and process trajectory big data, find hidden anomalies, and serve applications in urban planning, traffic management, safety control, etc.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Chemistry, Analytical
Esraa Hassan, Samir Elmougy, Mai R. Ibraheem, M. Shamim Hossain, Khalid AlMutib, Ahmed Ghoneim, Salman A. AlQahtani, Fatma M. Talaat
Summary: Retinal optical coherence tomography (OCT) imaging is a valuable tool for assessing the condition of the back part of the eye. In this paper, an enhanced OCT model based on modified ResNet (50) and random forest algorithms is proposed to classify retinal OCT. The experimentation results demonstrate high performance in sensitivity, specificity, and precision.
Article
Chemistry, Analytical
Tallat Jabeen, Ishrat Jabeen, Humaira Ashraf, N. Z. Jhanjhi, Abdulsalam Yassine, M. Shamim Hossain
Summary: The Internet of Things (IoT) employs wireless networks to deploy numerous wireless sensors for tracking system, physical, and environmental factors. This study proposes an intelligent healthcare system using nano sensors to collect real-time health status and transfer it to the doctor's server. A genetic-based encryption method is advocated for protecting data transmission over wireless channels, and an authentication procedure is proposed for user access to the data channel.
Article
Computer Science, Hardware & Architecture
Himanshi Babbar, Shalli Rani, Sahil Garg, Georges Kaddoum, Md. Jalil Piran, M. Shamim Hossain
Summary: This article proposes a secure multilayer SDN architecture that separates the paradigm into terrestrial, aerial, and ground domains and facilitates security solutions. The specifics of the architecture's development and implementation are explored, revealing some problems and unanswered questions. Descriptive results demonstrate that the proposed architecture will significantly improve the multilayer efficiency gains of configuration upgrading and decision-making.
IEEE CONSUMER ELECTRONICS MAGAZINE
(2023)
Article
Computer Science, Theory & Methods
Liguo Dong, Zhenmou Liu, Kejia Zhang, Abdulsalam Yassine, M. Shamim Hossain
Summary: Federated Learning (FL) is a promising privacy computing framework for complex network systems. To incentivize data owners, it is important to fairly evaluate and compensate their contributions to the FL training process. The collaboration of FL and Shapley value, namely Federated Shapley Value (FedSV), provides an effective solution but faces challenges in computational overhead, privacy, and fairness in the FL setting.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2023)
Article
Engineering, Civil
Yazhou Zhang, Prayag Tiwari, Qian Zheng, Abdulmotaleb El Saddik, M. Shamim Hossain
Summary: Traffic events are a major cause of traffic accidents, and detecting these events poses a challenge in traffic management and intelligent transportation systems (ITSs). This paper proposes a multimodal coupled graph attention network (MCGAT) that extracts valuable information from various traffic data sources and represents it in a graphical structure. The proposed model outperforms state-of-the-art baselines in terms of F1 and accuracy, with significant improvements.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Civil
Abdulsalam Yassine, M. Shamim Hossain
Summary: The future Intelligent Transportation System (ITS) will heavily rely on the Internet of Things (IoT) and vehicle-to-vehicle (V2V) energy charging/discharging, enabled by low-power wide-area networks (LPWAN) or 5G wireless connection. A double-sided auction mechanism is proposed in this paper to maximize the benefits for EV owners by matching bids and asks for optimal social welfare.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Computer Science, Hardware & Architecture
Mhd Saria Allahham, Amr Mohamed, Aiman Erbad, Mohsen Guizani
Summary: Mobile edge learning (MEL) is a learning paradigm that enables distributed training of machine learning models over heterogeneous edge devices. This study proposes an incentive mechanism to motivate the participation of edge devices in the training process and evaluates its performance through numerical experiments.
IEEE CANADIAN JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING
(2023)
