scholarly journals In-Vehicle Networking/Autonomous Vehicle Security for Internet of Things/Vehicles

Electronics ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 637
Author(s):  
Taeshik Shon
Keyword(s):  
Internet Of Things ◽  
Autonomous Vehicle ◽  
Vehicle Security ◽  
Vehicle Networking

In recent years, vehicles have become one of the most common examples in the area of ICT convergence applications and services [...]

Autonomous Vehicle Security: Literature Review of Real Attack Experiments

2021 ◽  
pp. 255-272
Author(s):  
Siham Bouchelaghem ◽  
Abdelmadjid Bouabdallah ◽  
Mawloud Omar
Keyword(s):  
Literature Review ◽  
Autonomous Vehicle ◽  
Vehicle Security

scholarly journals Intelligent Locking System using Deep Learning for Autonomous Vehicle in Internet of Things

2021 ◽  
Vol 12 (10) ◽  
Author(s):  
S. Zaleha. H ◽  
Nora Ithnin ◽  
Nur Haliza Abdul Wahab ◽  
Noorhazirah Sunar
Keyword(s):  
Deep Learning ◽  
Internet Of Things ◽  
Autonomous Vehicle

scholarly journals ANALISA PROYEK SISTEM INFORMASI VEHICLE SECURITY MENGGUNAKAN METODE ANALISIS SWOT DAN TELOS

2020 ◽  
Vol 4 (2) ◽  
pp. 130
Author(s):  
Risky Kurniawan ◽  
Risan Viargi ◽  
Fauzi Rivano Rachmat ◽  
Rizky Fadhilah ◽  
Ricky Firmansyah
Keyword(s):  
Internet Of Things ◽  
Vehicle Security

Tujuan penelitian ini ialah untuk mengetahui hasil analisa proyek sistem informasi berbasis Internet of Things (IoT) Vehicle Security dengan menggunakan teknik analisa SWOT dan uji kelayakan TELOS. Penelitian ini menggunakan penelitian kualitatif dengan pendekatan deskriptif. Teknik pengumpulan data diantaranya studi pustaka yang meliputi referensi buku dan pencarian data secara daring, serta studi lapangan yang meliputi observasi dan dokumentasi. Berdasarkan hasil penelitian, diperoleh hasil penelitian bahwa hasil Analisa SWOT dinilai positif meskipun terdapat beberapa hal yang perlu dibenahi untuk kedepannya. Sedangkan dari hasil uji kelayakan TELOS didapati hasil penilaian 8,34 atau jika dibulatkan menjadi 8 yang berarti proyek sistem informasi tersebut sangat layak untuk terus dikembangkan.

scholarly journals Intelligent motivation framework based on Q-network for multiple agents in Internet of Things simulations

2019 ◽  
Vol 15 (7) ◽  
pp. 155014771986638
Author(s):  
Hieu Trong Nguyen ◽  
Phuong Minh Chu ◽  
Jisun Park ◽  
Yunsick Sung ◽  
Kyungeun Cho
Keyword(s):  
Internet Of Things ◽  
Autonomous Vehicle ◽  
Three Dimensional ◽  
Virtual Agents ◽  
Daily Lives ◽  
Agent Based ◽  
Q Learning ◽  
Hierarchical Task Network ◽  
Average Accuracy ◽  
Motivation Model

Internet of Things simulations play significant roles in the diverse kinds of activities in our daily lives and have been extensively researched. Creating and controlling virtual agents in three-dimensional Internet of Things simulations is a key technology for achieving realism in three-dimensional simulations. Given that traditional virtual agent-based approaches have limitations for realism, it is necessary to improve the realism of three-dimensional Internet of Things simulations. This article proposes a Q-Network-based motivation framework that applies a Q-Network to select motivations from desires and hierarchical task network planning to execute actions based on goals of the selected motivations. The desires are to be identified and calculated based on states. Selected motivations will be chosen to determine the goals that agents must achieve. In the experiments, the proposed framework achieved an average accuracy of up to 85.5% when the Q-Network-based motivation model was trained. To verify the Q-Network-based motivation framework, a traditional Q-learning is also applied in the three-dimensional virtual environment. Comparing the results of the two frameworks, the Q-Network-based motivation framework shows better results than those of traditional Q-learning, as the accuracy of the Q-Network-based motivation is higher by 15.58%. The proposed framework can be applied to the diverse kinds of Internet of Things systems such as a training autonomous vehicle. Moreover, the proposed framework can generate big data on animal behaviors for other training systems.

Autonomous Vehicle Security

2015 ◽  
Author(s):  
Madeline Cheah ◽  
Siraj Shaikh
Keyword(s):  
Autonomous Vehicle ◽  
Vehicle Security

The Security and Application of the RFID-Based Vehicle Security Monitoring and Administration System of the Internet of Things

2012 ◽  
Vol 457-458 ◽  
pp. 1243-1249
Author(s):  
Bing Chen ◽  
Cheng Xiang Tan ◽  
Yue Bo Dai
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Implementation Framework ◽  
Administration System ◽  
Security Monitoring ◽  
Key Technology ◽  
Information Construction ◽  
Vehicle Security ◽  
Security Network ◽  
The Internet Of Things

With the development of the technology and industry of the Internet of Things, the application of the Internet of Things of government and industry has been one important subject for the further development of information construction in China. The paper presents the RFID-based vehicle security monitoring and administration system of the Internet of Things in order to assure the real-time monitoring and security administration in the process of the vehicles going and coming through the gates and the vehicle’s united administration, and designs the security implementation framework of the application of the Internet of Things, and discusses the key technology including super high frequency RFID and boundary security network gateway, and the system and the key technology can broadly apply to the united security monitoring and administration of many vehicles such as buses, cars, trains, and the system of the Internet of Things has been primary implemented and achieved good effects in actual applications.

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