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Smart Cities, Volume 3, Issue 1 (March 2020) – 2 articles

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Open AccessArticle
Identify a Spoofing Attack on an In-Vehicle CAN Bus Based on the Deep Features of an ECU Fingerprint Signal
Smart Cities 2020, 3(1), 17-30; https://doi.org/10.3390/smartcities3010002 - 17 Jan 2020
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Abstract
An in-vehicle controller area network (CAN) bus is vulnerable because of increased sharing among modern autonomous vehicles and the weak protocol design principle. Spoofing attacks on a CAN bus can be difficult to detect and have the potential to enable devastating attacks. To [...] Read more.
An in-vehicle controller area network (CAN) bus is vulnerable because of increased sharing among modern autonomous vehicles and the weak protocol design principle. Spoofing attacks on a CAN bus can be difficult to detect and have the potential to enable devastating attacks. To effectively identify spoofing attacks, we propose the authentication of sender identities using a recurrent neural network with long short-term memory units (RNN-LSTM) based on the features of a fingerprint signal. We also present a way to generate the analog fingerprint signals of electronic control units (ECUs) to train the proposed RNN-LSTM classifier. The proposed RNN-LSTM model is accelerated on embedded Field-Programmable Gate Arrays (FPGA) to allow for real-time detection despite high computational complexity. A comparison of experimental results with the latest studies demonstrates the capability of the proposed RNN-LSTM model and its potential as a solution to in-vehicle CAN bus security. Full article
(This article belongs to the Special Issue Road Safety in Smart Cities)
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Open AccessArticle
Towards Evaluation the Cornerstone of Smart City Development: Case Study in Dalat City, Vietnam
Smart Cities 2020, 3(1), 1-16; https://doi.org/10.3390/smartcities3010001 - 18 Dec 2019
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Abstract
Over the past decade, the process of urbanization in Vietnam has taken place rapidly, leading to strong social disturbances and causing cities to face many problems. All these challenges have put pressure on urban planning and governance to make adjustments to allow cities [...] Read more.
Over the past decade, the process of urbanization in Vietnam has taken place rapidly, leading to strong social disturbances and causing cities to face many problems. All these challenges have put pressure on urban planning and governance to make adjustments to allow cities to become livable. Moreover, the quality of urbanization is reflected not only in growth but also in harmonious development in all aspects. The urban development process must accordingly be handled by more smart solutions. Smart city development is becoming a trend not only in urban areas all over the world but also in Vietnam. The paper aims to assess the initial phases of the smart city development process in Dalat City. It first evaluated a four-dimensional smart city’s strategic elements of city vision and transformation known as Strengths-Weaknesses-Opportunities-Threats. Then, based on these analytical characteristics, an adaptive model for development is suggested. This paper extends the previous research on smart cities and draws attention to further study on smart city development in Vietnam. Full article
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