Vehicular Communications最新文献_第10页

A data sharing scheme based on blockchain for privacy protection certification of Internet of Vehicles 基于区块链的车联网隐私保护认证数据共享方案

IF 5.8 2区计算机科学

Vehicular Communications Pub Date : 2025-02-01 DOI: 10.1016/j.vehcom.2024.100864

Fengjun Shang, Xinxin Deng

{"title":"A data sharing scheme based on blockchain for privacy protection certification of Internet of Vehicles","authors":"Fengjun Shang, Xinxin Deng","doi":"10.1016/j.vehcom.2024.100864","DOIUrl":"10.1016/j.vehcom.2024.100864","url":null,"abstract":"<div><div>With the vigorous development of Internet of Vehicles (IoV) technology, modern cars equipped with advanced on-board systems are continuously generating massive amounts of data. Utilizing this data can improve driving safety and achieve better service quality in smart transportation systems. Therefore, ensuring the efficiency and security of data sharing is an important issue. Integrating IoV and blockchain technology can provide solutions to the data sharing security problems. This paper researches on IoV data sharing based on blockchain technology. In view of the problem that Internet of Vehicles data is susceptible to denial of service attacks, central failures and privacy leaks, we propose a data sharing scheme based on blockchain for privacy protection certification of Internet of Vehicles. Firstly, a decentralized privacy protection authentication framework is proposed is based on blockchain. Authenticated communication is performed between vehicle nodes and roadside units (as trusted authorities) by using authentication and access authentication schemes. Secondly, the trusted cluster head selected through the weight indicator is responsible for forwarding the information to the Trust Authority (TA), which then forwards the data to cloud storage and records the certificate and hash value on the distributed blockchain, along with other related information. In addition, the solution also uses a practical Byzantine fault-tolerant consensus algorithm to ensure the security and reliability of the blockchain, as well as the efficiency and decentralization of cloud storage. Finally, the TA revokes the certificate of the malicious vehicle node and clears it from the blockchain. Security analysis experiments show that our solution can effectively resist various threats such as counterfeiting, replay attacks, forgery and data tampering, thereby ensuring the security of Internet of Vehicles data sharing. Compared to the proposed solution, our performance has improved by 50.12%, 41.62%, 6.01%, and 29.11%, respectively.</div></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":"51 ","pages":"Article 100864"},"PeriodicalIF":5.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142790088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Offloading in V2X with road side units: Deep reinforcement learning 在 V2X 中使用路侧装置进行卸载：深度强化学习

IF 5.8 2区计算机科学

Vehicular Communications Pub Date : 2025-02-01 DOI: 10.1016/j.vehcom.2024.100862

Widhi Yahya , Ying-Dar Lin , Faysal Marzuk , Piotr Chołda , Yuan-Cheng Lai

{"title":"Offloading in V2X with road side units: Deep reinforcement learning","authors":"Widhi Yahya , Ying-Dar Lin , Faysal Marzuk , Piotr Chołda , Yuan-Cheng Lai","doi":"10.1016/j.vehcom.2024.100862","DOIUrl":"10.1016/j.vehcom.2024.100862","url":null,"abstract":"<div><div>Traffic offloading is crucial for reducing computing latency in distributed edge systems such as vehicle-to-everything (V2X) networks, which use roadside units (RSUs) and access network mobile edge computing (AN-MEC) with ML agents. Traffic offloading is part of the control plane problem, which requires fast decision-making in complex V2X systems. This study presents a novel ratio-based offloading strategy using the twin delayed deep deterministic policy gradient (TD3) algorithm to optimize offloading ratios in a two-tier V2X system, enabling computation at both RSUs and the edge. The offloading optimization covers both vertical and horizontal offloading, introducing a continuous search space that needs fast decision-making to accommodate fluctuating traffic in complex V2X systems. We developed a V2X environment to evaluate the performance of the offloading agent, incorporating latency models, state and action definitions, and reward structures. A comparative analysis with metaheuristic simulated annealing (SA) is conducted, and the impact of single versus multiple offloading agents with deployment options at a centralized central office (CO) is examined. Evaluation results indicate that TD3's decision time is five orders of magnitude faster than SA. For 10 and 50 sites, SA takes 602 and 20,421 seconds, respectively, while single-agent TD3 requires 4 to 24 milliseconds and multi-agent TD3 takes 1 to 3 milliseconds. The average latency for SA ranges from 0.18 to 0.32 milliseconds, single-agent TD3 from 0.26 to 0.5 milliseconds, and multi-agent TD3 from 0.22 to 0.45 milliseconds, demonstrating that TD3 approximates SA performance with initial training.</div></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":"51 ","pages":"Article 100862"},"PeriodicalIF":5.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142825408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Redundant task offloading with dual-reliability in MEC-assisted vehicular networks mec辅助车辆网络双可靠性冗余任务卸载

IF 5.8 2区计算机科学

Vehicular Communications Pub Date : 2025-02-01 DOI: 10.1016/j.vehcom.2024.100867

Yaoxin Duan , Wendi Nie , Victor C.S. Lee , Kai Liu

{"title":"Redundant task offloading with dual-reliability in MEC-assisted vehicular networks","authors":"Yaoxin Duan , Wendi Nie , Victor C.S. Lee , Kai Liu","doi":"10.1016/j.vehcom.2024.100867","DOIUrl":"10.1016/j.vehcom.2024.100867","url":null,"abstract":"<div><div>With the rise and development of intelligent vehicles, the computation capability of vehicles has increased rapidly and considerably. Vehicle-to-Vehicle (V2V) offloading, in which computation-intensive tasks are offloaded to underutilized vehicles, has been proposed. However, V2V offloading faces the challenges of task transmission reliability and task computation reliability. In V2V offloading, tasks are transmitted via V2V communication, which is volatile and spotty because of rapidly changing network topology and channel conditions between vehicles, resulting in time-varying delays of task transmission and even loss of connectivity. Thus, it is challenging to complete V2V offloading within a given delay constraint. In addition, the realistic diverse vehicular environment always comes with malicious vehicles, which can cause irreparable harm to V2V offloading. Therefore, in this paper, we propose a V2V task offloading scheme called Redundant Task Offloading with Dual-Reliability (RTODR), aiming to minimize task offloading costs while ensuring both task transmission reliability and task computation reliability in a Mobile Edge Computing (MEC)-assisted vehicular network. Specifically, for a computation task, a V2V connection is considered reliable only if the task can be successfully transmitted via the V2V connection within the deadline of the task. To ensure task computation reliability, task computation results from a trusty service vehicle are considered to be reliable. Then we formally model a Minimizing Task Offloading Cost with Dual-reliability (MTOCD) problem, which is mathematically formulated as a multi-objective optimization problem. Afterward, we propose a heuristic redundant task offloading algorithm, named Dual-Reliability Offloading (DRO), to solve the problem. Finally, comprehensive experiments have been conducted to demonstrate that RTODR achieves lower costs compared with other approaches.</div></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":"51 ","pages":"Article 100867"},"PeriodicalIF":5.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142825409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A survey of intelligent reflecting surfaces: Performance analysis, extensions, potential challenges, and open research issues 智能反射面调查：性能分析、扩展、潜在挑战和开放研究问题

IF 5.8 2区计算机科学

Vehicular Communications Pub Date : 2025-02-01 DOI: 10.1016/j.vehcom.2024.100859

Adil Khan , Syed Agha Hassnain Mohsan , Abdelrahman Elfikky , Ayman I. Boghdady , Shabeer Ahmad , Nisreen Innab

{"title":"A survey of intelligent reflecting surfaces: Performance analysis, extensions, potential challenges, and open research issues","authors":"Adil Khan , Syed Agha Hassnain Mohsan , Abdelrahman Elfikky , Ayman I. Boghdady , Shabeer Ahmad , Nisreen Innab","doi":"10.1016/j.vehcom.2024.100859","DOIUrl":"10.1016/j.vehcom.2024.100859","url":null,"abstract":"<div><div>The rapid advancements in wireless communication have underscored the need for innovative solutions to enhance network performance, spectral efficiency, and energy savings. Intelligent Reflecting Surface (IRS) technology has emerged as a transformative approach that passively reconfigures wireless propagation environments, offering significant improvements without active power consumption. This survey provides a comprehensive analysis of IRS technology, covering its architecture, operational principles, and integration into next-generation wireless networks. We examine key performance metrics in various application scenarios, demonstrating IRS's potential to improve coverage, signal quality, and energy efficiency, with up to 40% higher spectral efficiency and substantial energy savings over traditional networks. The survey also explores the integration of IRS with advanced multiple access techniques such as Non-Orthogonal Multiple Access (NOMA) and Terahertz (THz) communication, positioning IRS as a critical enabler in future 6G networks. This survey contributes by offering an in-depth review of IRS design principles and operational mechanisms, presenting a performance analysis in various scenarios that highlights IRS's ability to improve network efficiency, and identifying practical challenges and open research areas, such as the need for robust channel estimation methods, effective interference management in dense networks, and IRS solutions scalable for urban and rural deployments. Additionally, we discuss the future trajectory of IRS standardization and the regulatory frameworks essential for large-scale deployment. By summarizing advancements and identifying key research directions, this survey aims to serve as a valuable reference for researchers and practitioners seeking to advance IRS technology in future wireless networks.</div></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":"51 ","pages":"Article 100859"},"PeriodicalIF":5.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142790087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A review of smart vehicles in smart cities: Dangers, impacts, and the threat landscape 回顾智能城市中的智能车辆：危险、影响和威胁状况

IF 5.8 2区计算机科学

Vehicular Communications Pub Date : 2025-02-01 DOI: 10.1016/j.vehcom.2024.100871

Brooke Kidmose

{"title":"A review of smart vehicles in smart cities: Dangers, impacts, and the threat landscape","authors":"Brooke Kidmose","doi":"10.1016/j.vehcom.2024.100871","DOIUrl":"10.1016/j.vehcom.2024.100871","url":null,"abstract":"<div><div>The humble, mechanical automobile has gradually evolved into our modern connected and autonomous vehicles (CAVs)—also known as “smart vehicles.” Similarly, our cities are gradually developing into “smart cities,” where municipal services from transportation networks to utilities to recycling to law enforcement are integrated. The idea, with both smart vehicles and smart cities, is that more data leads to better, more informed decisions. Smart vehicles and smart cities would acquire data from their own equipment (e.g., cameras, sensors) and from their connections—e.g., connections to fellow smart vehicles, to road-side infrastructure, to smart transportation systems (STSs), etc.</div><div>Unfortunately, the paradigm of smart vehicles in smart cities is rife with danger and ripe for misuse. One vulnerable system or service could become an attacker's entry point, facilitating access to every connected vehicle, device, etc. Worse, smart vehicles and smart cities are inherently cyber-physical; a cyberattack can have physical consequences, including destruction of infrastructure and loss of life. Lastly, to leverage all the benefits of smart vehicles in smart cities, we would need to accept exorbitant levels of data collection and surveillance, which, in the absence of ironclad privacy protections, could lead to total lack of privacy.</div><div>In this work, we define the automotive context—i.e., smart vehicles—within the larger context of smart cities as our threat landscape. Then, we enumerate and describe all of the (1) threats, (2) attack surfaces & targets, (3) areas of concern (indirect vulnerabilities & threats), and (4) impacts of smart vehicles in smart cities. Our objective is to demonstrate that the dangers are real and imminent—in the hope that they will be addressed before an attack on the “smart vehicles in smart cities” paradigm results in loss of life.</div></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":"51 ","pages":"Article 100871"},"PeriodicalIF":5.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142825355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A survey on physical layer security for 5G/6G communications over different fading channels: Approaches, challenges, and future directions 不同衰落信道下5G/6G通信物理层安全研究：方法、挑战和未来方向

IF 5.8 2区计算机科学

Vehicular Communications Pub Date : 2025-01-31 DOI: 10.1016/j.vehcom.2025.100891

Parmila Devi, Manoranjan Rai Bharti, Dikshant Gautam

{"title":"A survey on physical layer security for 5G/6G communications over different fading channels: Approaches, challenges, and future directions","authors":"Parmila Devi, Manoranjan Rai Bharti, Dikshant Gautam","doi":"10.1016/j.vehcom.2025.100891","DOIUrl":"10.1016/j.vehcom.2025.100891","url":null,"abstract":"<div><div>The surge in wireless network attacks has intensified the focus on physical layer security (PLS) within academia and industry. As PLS provides security solutions by leveraging the randomness of wireless channels without the need for encryption/decryption keys, fading channels play a major role in PLS solutions. This survey aims to understand the effect of fading on PLS for 5G/6G communications by utilizing various PLS techniques such as beamforming, artificial noise injection, cooperative and opportunistic relaying, physical authentication, and intelligent reflective surface-based PLS over various fading channels. Initially, the role of PLS in 5G/6G communications, its fundamentals, and various techniques available for 5G/6G communications are examined. Since PLS for 5G communications has been extensively studied in the literature, we categorize it into two cases, direct and indirect communications, and provide a comprehensive survey on PLS for 5G communications over various fading channels. Thereafter, we survey the PLS for 6G communications over various fading channels, noting that the work available for PLS in 6G communications is limited and in its early stages. Given the increasing attention on artificial intelligence and machine learning (AI/ML) for wireless communications, this survey also explores PLS based on AI/ML techniques over various fading channels. Finally, the survey concludes with observations on challenges and future directions.</div></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":"53 ","pages":"Article 100891"},"PeriodicalIF":5.8,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143136343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

SC-VDTwinAuth: Smart-contract Assisted Handover Authentication Protocol for Vehicular Digital Twin Network SC-VDTwinAuth：基于智能合约的车辆数字孪生网络切换认证协议

IF 5.8 2区计算机科学

Vehicular Communications Pub Date : 2025-01-30 DOI: 10.1016/j.vehcom.2025.100890

Deepika Gautam, Garima Thakur, Sunil Prajapat, Pankaj Kumar

{"title":"SC-VDTwinAuth: Smart-contract Assisted Handover Authentication Protocol for Vehicular Digital Twin Network","authors":"Deepika Gautam, Garima Thakur, Sunil Prajapat, Pankaj Kumar","doi":"10.1016/j.vehcom.2025.100890","DOIUrl":"10.1016/j.vehcom.2025.100890","url":null,"abstract":"<div><div>Vehicular digital twin network is partitioned into multiple networks either due to the geographical differences or their accelerating expansion, which necessitates a secure and incessant transition of cross-regional vehicles. Therefore, in this dynamic topology, the handover process for cross-regional vehicles becomes imperative. The literature encompasses an abundance of blockchain-based handover mechanisms, specifically designed for vehicle and the roadside units. Unfortunately, some of these are not feasible for vehicular digital twin networks due to their high computational overhead and susceptibility to security threats. Therefore, this paper presents a handover authentication protocol for the blockchain-based vehicular digital twin networks, leveraging the smart contract. It entirely depends on digital twin, which reduces the burden of the vehicle and enhances the efficiency and security of the handover process. Security strengths and competency against attacks like sybil and impersonation attacks are investigated through a real-or-random oracle model (ROR) and non-mathematical analysis. The operational analysis evaluates the proposed mechanism with pertinent works based on security functionalities, computation, and communication overhead. Moreover, to illustrate suggested smart contract's viability and the reasonable cost of blockchain consumption, it is implemented via the Ethereum test network. Hence, obtained results indicate the relevancy of the mechanism for vehicular digital twin networks.</div></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":"53 ","pages":"Article 100890"},"PeriodicalIF":5.8,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143083303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Resource allocation in unmanned aerial vehicle networks: A review 无人驾驶飞行器网络中的资源分配：综述

IF 5.8 2区计算机科学

Vehicular Communications Pub Date : 2025-01-29 DOI: 10.1016/j.vehcom.2025.100889

Siva Sai , Sudhanshu Mishra , Vinay Chamola

{"title":"Resource allocation in unmanned aerial vehicle networks: A review","authors":"Siva Sai , Sudhanshu Mishra , Vinay Chamola","doi":"10.1016/j.vehcom.2025.100889","DOIUrl":"10.1016/j.vehcom.2025.100889","url":null,"abstract":"<div><div>Currently, resource allocation in Unmanned Aerial Vehicles (UAVs) is a major topic of discussion among industrialists and researchers. Considering the different emerging applications of UAVs, if the resource allocation problem is not addressed effectively, the upcoming UAV applications will not serve their proposed purpose. Although there are numerous and diverse research works addressing the resource allocation in UAVs, there is an evident lack of a comprehensive survey describing and analyzing the existing methods. Addressing this research gap, we present an extensive review of the resource allocation in UAVs. In this work, we classify the existing research works based on four criteria - optimization goal-based classification, mathematical model-based classification, game theory framework-based classification, and machine learning model-based classification. Our findings revealed that the mathematical models are relatively more explored to solve the resource allocation problem in UAVs. Researchers have explored a variety of game theory techniques, like the Stackelberg model, mean-field game theory, cooperative games, etc., for optimized resource allocation in UAVs. The optimization of energy and throughput factors is more seen in the literature compared to the other optimization goals. We also observed that the reinforcement learning technique is a heavily exploited technique for resource allocation in UAVs compared to all other machine learning-based methods. We have also presented several challenges and future works in the field of resource allocation in UAVs.</div></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":"52 ","pages":"Article 100889"},"PeriodicalIF":5.8,"publicationDate":"2025-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143083366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dense capsule stacked auto-encoder model based DDoS attack detection and hybrid optimal bandwidth allocation with routing in VANET environment VANET环境下基于密集胶囊堆叠自编码器模型的DDoS攻击检测与路由混合最优带宽分配

IF 5.8 2区计算机科学

Vehicular Communications Pub Date : 2025-01-21 DOI: 10.1016/j.vehcom.2025.100888

Murali Krishna Tanati , Manimaran Ponnusamy

{"title":"Dense capsule stacked auto-encoder model based DDoS attack detection and hybrid optimal bandwidth allocation with routing in VANET environment","authors":"Murali Krishna Tanati , Manimaran Ponnusamy","doi":"10.1016/j.vehcom.2025.100888","DOIUrl":"10.1016/j.vehcom.2025.100888","url":null,"abstract":"<div><div>The vehicle ad hoc network, or VANET, is a fantastic tool for smart transport since it improves efficiency, management, traffic safety, and comfort. Distributed Denial of Service (DDoS) attacks on VANET infrastructure have the potential to compromise traffic safety by causing collisions and fatalities. Therefore, while integrating VANETs into intelligent transport networks, the pertinent security issues must be addressed. This paper provides an efficient routing optimization as well as a deep learning-based attack detection approach. The input data are first collected from publically accessible datasets. After that, a unique Dense Capsule Stacked Auto Encoder (DCSAE) network is developed to detect the presence of DDoS attacks in the inputs. Here, the detection method is enabled by the hybridization of the Capsule Network with a Stacked Auto Encoder. Moreover, the Improved Fire Hawks Optimization Algorithm (IFHOA) is employed to refine the proposed detection technique. Once assaults have been discovered, bandwidth is allocated using the Hybrid Remora Whale Optimization (HRWO) approach. Finally, an Improved Osprey Optimization (IOO) method is utilized to identify a better routing path by taking into account aspects such as energy usage, delay, and drop. The DDoS SDN dataset is employed to implement the proposed method. In the results section, the suggested technique is compared to existing methods in terms of recall, accuracy, precision, F1 score, Mean Absolute Error (MAE), Packet Delivery Ratio (PDR), Packet Loss Ratio (PLR), and consumption of energy. The proposed model achieved an accuracy of 94.07 % while achieving the precision, recall, and F1-score of 94.2 %, 93.33 %, and 93.88 %, respectively. The model achieved the MAE of 0.132, delay of 4812.976, energy consumption of 40.13 %, PDR of 95.1805, and PLR of 3.6816 %, respectively.</div></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":"52 ","pages":"Article 100888"},"PeriodicalIF":5.8,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143083304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Detection of zero-day attacks via sample augmentation for the Internet of Vehicles 基于车联网样本增强的零日攻击检测

IF 5.8 2区计算机科学

Vehicular Communications Pub Date : 2025-01-21 DOI: 10.1016/j.vehcom.2025.100887

Bingfeng Xu , Jincheng Zhao , Bo Wang , Gaofeng He

{"title":"Detection of zero-day attacks via sample augmentation for the Internet of Vehicles","authors":"Bingfeng Xu , Jincheng Zhao , Bo Wang , Gaofeng He","doi":"10.1016/j.vehcom.2025.100887","DOIUrl":"10.1016/j.vehcom.2025.100887","url":null,"abstract":"<div><div>Detecting zero-day attacks is a critical challenge in the Internet of Vehicles (IoV). Due to the limited availability of labeled attack data, anomaly-based methods are predominantly employed. However, the variability in the driving environment and behavioral patterns of vehicles introduces significant fluctuations in normal behavior, which in turn leads to high false positive rates when using these methods. In this work, we propose a novel detection method for zero-day attacks in IoV through sample augmentation. We first analyze the similarities between known and zero-day attacks in IoV. Based on the analysis, a Few-shot Learning Conditional Generative Adversarial Network (FLCGAN) model with multiple generators and discriminators is developed. Within this framework, an attack sample augmentation algorithm is designed to enhance input data by expanding the known attack dataset, thereby reducing false positives. To address the data imbalance caused by the limited number of input attack samples, an ensemble focal loss function is incorporated into the generator to ensure diversity and dispersion of the generated samples. Additionally, a collaborative focal loss function is introduced into the discriminator to improve the classification of difficult-to-classify data. A theoretical analysis is also conducted on the coverage of samples generated by the model. Extensive experiments conducted on the IoV simulation tool Framework For Misbehavior Detection (F2MD) demonstrate that the proposed method surpasses existing approaches in both detection effect and detection delay for zero-day attacks.</div></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":"52 ","pages":"Article 100887"},"PeriodicalIF":5.8,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143049923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0