IEEE Internet of Things Magazine最新文献_第7页

SCAN-GAN: Generative Adversarial Network Based Synthetic Data Generation Technique for Controller Area Network 基于生成对抗网络的控制器局域网综合数据生成技术

IEEE Internet of Things Magazine Pub Date : 2023-09-01 DOI: 10.1109/iotm.001.2300013

Amit Chougule, Kartik Agrawal, Vinay Chamola

{"title":"SCAN-GAN: Generative Adversarial Network Based Synthetic Data Generation Technique for Controller Area Network","authors":"Amit Chougule, Kartik Agrawal, Vinay Chamola","doi":"10.1109/iotm.001.2300013","DOIUrl":"https://doi.org/10.1109/iotm.001.2300013","url":null,"abstract":"In recent years, significant research has occurred on developing various protocols for communication within an autonomous vehicle. Due to the simplicity and trustworthiness of a Controller Area Network (CAN) bus, it has become trendy and widely employed for in-vehicle communication. However, research indicates numerous network-level threats are possible owing to the CAN bus's lack of defense mechanisms. Messages are prone to attacks from third-party sources threatening the correctness of the CAN bus messages. In the last few years, machine learning and deep learning algorithms have effectively improved CAN security and developed various misbehavior, intrusion prevention, and detection systems. However, a large amount of data is required to train these algorithms. There are currently very few CAN datasets available, which has become a major barrier for researchers when developing new CAN security algorithms. Also, the nature of the data in question is tedious to accumulate, especially if there is a need for specific features. In this work, we proposed SCAN-GAN (Synthetic CAN), a generative adversarial Network (GAN) based technique to generate data using existing collected data and presented a synthetic CAN dataset. We also compared the original and generated dataset based on various parameters as well as on well-known classification algorithms, showing that various previous models deliver improved results on the generated dataset over the original dataset. The results exhibit the efficiency of using GANs for data production, which is on par with real data. The results of this work also suggest the adaptability of the GAN to work with varied datasets.","PeriodicalId":235472,"journal":{"name":"IEEE Internet of Things Magazine","volume":"198 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135388231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Cover 2 封面2

IEEE Internet of Things Magazine Pub Date : 2023-09-01 DOI: 10.1109/miot.2023.10255778

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Cover 3 覆盖3

IEEE Internet of Things Magazine Pub Date : 2023-09-01 DOI: 10.1109/miot.2023.10255725

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On Advanced Relay Schemes to Support Throughput-Hungry IoT Applications 先进的中继方案，以支持吞吐量饥渴的物联网应用

IEEE Internet of Things Magazine Pub Date : 2023-09-01 DOI: 10.1109/iotm.001.22002358

Guan-Yu Lin, Chia-Hao Yu, Nathan Tenny, Alex C.-C. Hsu

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NOMA-Based Grant-Free Massive Access for Latency-Critical Internet of Things: A Scalable and Reliable Framework 基于noma的延迟关键物联网免费大规模访问:可扩展和可靠的框架

IEEE Internet of Things Magazine Pub Date : 2023-09-01 DOI: 10.1109/iotm.001.2300091

Chung G. Kang, Ameha Tsegaye Abebe, Jinho Choi

{"title":"NOMA-Based Grant-Free Massive Access for Latency-Critical Internet of Things: A Scalable and Reliable Framework","authors":"Chung G. Kang, Ameha Tsegaye Abebe, Jinho Choi","doi":"10.1109/iotm.001.2300091","DOIUrl":"https://doi.org/10.1109/iotm.001.2300091","url":null,"abstract":"From a system-level point of view, a grant-free random access protocol for latency critical internet of thing (IoT) must be designed to trade resource efficiency and target performance in a scalable manner. To this end, its performance characteristics must be fully understood by identifying the underlying physical-layer structure and constraints. In this article, we present a comprehensive structure of contention transmission unit for grant-free random access that employs a multi-signature spreading to average out multi-user interference subject to non-or-thogonal multiple access (NOMA). This structure is shown to trade preamble collision and activity detection failure optimally to achieve a target performance with the given physical resources at a varying level of user activity. Furthermore, as spectral efficiency and delay requirements are mainly governed by reliability of random access, we will discuss multiple receiver antenna-based approaches that play a crucial role in improving the reliability and supporting massive connectivity. The scalable and reliable features in all these aspects will become a useful part of the design framework for low latency and massive connectivity of 6G IoT applications.","PeriodicalId":235472,"journal":{"name":"IEEE Internet of Things Magazine","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135388383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Security, Privacy, and Reliability in Ubiquitous Intelligence Empowered Internet of Vehicles 无处不在的智能汽车互联网的安全性、隐私性和可靠性

IEEE Internet of Things Magazine Pub Date : 2023-09-01 DOI: 10.1109/iotm.001.2300075

Chuan Zhang, Chenfei Hu, Weiting Zhang, Haotian Liang, Dian Lei, Liehuang Zhu

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IEEE App IEEE软件

IEEE Internet of Things Magazine Pub Date : 2023-09-01 DOI: 10.1109/miot.2023.10255789

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Women in Engineering 工程领域的女性

IEEE Internet of Things Magazine Pub Date : 2023-09-01 DOI: 10.1109/miot.2023.10255783

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Digital Twins for Intelligent Space-Air-Ground Integrated Vehicular Network: Challenges and Solutions 智能天空地集成车辆网络的数字孪生:挑战与解决方案

IEEE Internet of Things Magazine Pub Date : 2023-09-01 DOI: 10.1109/iotm.001.2300067

Yilong Hui, Yi Qiu, Zhou Su, Zhisheng Yin, Tom H. Luan, Khalid Aldubaikhy

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Enabling Resilient Access Equality for 6G LEO Satellite Swarm Networks 实现6G LEO卫星群网络的弹性接入平等

IEEE Internet of Things Magazine Pub Date : 2023-09-01 DOI: 10.1109/iotm.001.2200272

Shih-Chun Lin, Chia-Hung Lin, Liang C. Chu, Shao-Yu Lien

引用次数: 1