A Provable and Privacy-Preserving Authentication Scheme for UAV-Enabled Intelligent Transportation Systems

Khan, Muhammad Asghar; Ullah, Insaf; Alkhalifah, Ali; Rehman, Sajjad Ur; Shah, Jawad Ali; Uddin, Irfan; Alsharif, Mohammed H.; Algarni, Fahad

doi:10.1109/tii.2021.3101651

Cited by 66 publications

(44 citation statements)

References 20 publications

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“…The rapid development of the Internet of things (IoT) [1,2] technology has intricately connected all things possible, bringing in efficiency and vitality to all walks of life [3,4]. Now, IoT has been used in various environments [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

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Impact of Technical Indicators and Leading Indicators on Stock Trends on the Internet of Things

Chen

Gong

2022

Wireless Communications and Mobile Computing

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The Internet of things (IoT) has had an enormous impact on the financial industry. With IoT, people can obtain real-time financial information; moreover, investment and financial management have become more flexible and diverse. Because of their high returns and strong liquidity, stocks have become essential commodities through which people invest and manage money. However, high returns are often associated with high risks. Therefore, it is important for investors to forecast the trends of future stock prices. This study uses a new stock trend prediction framework to predict changes in the stock price direction on the next trading day using data from the past 30 trading days. This framework uses two-dimensional convolutional neural networks to classify stock prices into three categories: up, down, and flat. In addition, to analyze the influence of different types of input on the prediction model, historical data, futures, options, technical indicators, and mixed data are taken as the model’s input. Experiments on US and Taiwan stocks proved the validity of the prediction model. The method proposed in this study is compared with buy-and-hold and random choice trading strategies. Results show that the model’s profitability is better than the two baseline strategies.

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Section: Introductionmentioning

confidence: 99%

“…F/O: futures/options. Information about futures contracts and options contracts for stocks 4. OFD: other financial data.…”

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confidence: 99%

Impact of Technical Indicators and Leading Indicators on Stock Trends on the Internet of Things

Chen

Gong

2022

Wireless Communications and Mobile Computing

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“…In addition, as an emerging mobile communication, 5G/6G networks will involve many fields, such as mobile phones, smart homes, automatic driving, and telemedicine. In applications involving IoT [5][6][7][8][9], security has always been a weak link in the network. The management of stored and transmitted information is important.…”

Section: Introductionmentioning

confidence: 99%

Provably Secure Client‐Server Key Management Scheme in 5G Networks

YangLei

ChenYeh-Cheng

2021

Wireless Communications and Mobile Computing

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The increasing demand for real-time data transmission in wireless mobile communication networks has promoted the maturity of mobile communication technology. Fifth-generation (5G) mobile communication technology is combined with cloud computing, high-frequency signal transmission, and other technologies and perfectly fits with the client-server architecture. 5G has been applied in many fields, such as the interconnection of smart devices, virtual reality, and cloud-based life. To provide the security and availability of the required services, we proposed a key management scheme based on the multiserver architecture of the client-server mode in 5G networks, which uses bilinear pairings and elliptic curve cryptography. Through informal security analysis and formal analysis (under the random oracle model and ProVerif tool), we demonstrated that the proposed scheme can complete mutual authentication and resist common network attacks. Furthermore, after the performance analysis of our scheme and other related schemes, it was found that this scheme has relatively low communication and computation costs and better security performance.

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“…Benefitting from the flourishing telecommunication and automotive industries, vehicles have the ability to share information with various remote transportation participants via different networks, including V2V communication networks, vehicleto-infrastructure communication (V2I) networks, and vehicleto-everything (V2X) communication networks [20]. Along with the advantage of information exchanges, there is an ever-increasing concern about data leakage due to the open nature of communication networks [21], [22], [23], [24], [25]. As such, data privacy is regarded as a critical issue that should be taken into consideration in vehicle platooning control.…”

mentioning

confidence: 99%

“…Fortunately, the problem of data privacy preservation has stimulated scientific interest in the past few years. To date, several cryptographic techniques, such as block chain [21], [22], group signatures [23], trustworthiness evaluation [24], and voting theory [25], have been applied to vehicular platoon privacy preservation. At the same time, various proactive defense mechanisms of moving targets have been developed to improve the system security, see the survey [29].…”

mentioning

confidence: 99%

Privacy-Preserving Platooning Control of Vehicular Cyber–Physical Systems With Saturated Inputs

Pan

Ding

et al. 2023

IEEE Trans. Syst. Man Cybern, Syst.

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Metaverse allows the physical reality to tightly integrate with the digital universe. As one typical metaverse application, platooning control of vehicular cyber-physical systems has attracted extensive attention as it is beneficial to improve traffic efficiency, driving safety, and emission reduction. However, due to the open nature of wireless communication networks, the transmitted vehicle-to-vehicle (V2V) data packets become exposed to the public and concomitant data leakage can lead to unintended consequences to vehicular platoons. This article is concerned with the privacy-preserving platooning control issue of vehicular cyber-physical systems with input saturations. First, a novel distributed proportional-integral observer is proposed to estimate the full state of each vehicle, where the integral terms with a forgetting factor facilitate to realize the tradeoff between transient performance and steady-state performance for the platoon. Second, sampled-data-based dynamic encryption and decryption schemes, featuring a dynamic private key, are developed such that the encrypted and decrypted V2V data can be kept private to each platoon vehicle. It is then shown that the platooning control problem over a generic communication topology can be cast into the stability issue of an auxiliary dynamic system. Furthermore, sufficient conditions on the existence of the desired observer and controller gains as well as the private key parameter selection are derived to guarantee the desired platoon stability and privacy preservation requirements. Finally, an illustrative example is given to demonstrate the effectiveness of the proposed control method.

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A Provable and Privacy-Preserving Authentication Scheme for UAV-Enabled Intelligent Transportation Systems

Cited by 66 publications

References 20 publications

Impact of Technical Indicators and Leading Indicators on Stock Trends on the Internet of Things

Impact of Technical Indicators and Leading Indicators on Stock Trends on the Internet of Things

Provably Secure Client‐Server Key Management Scheme in 5G Networks

Privacy-Preserving Platooning Control of Vehicular Cyber–Physical Systems With Saturated Inputs

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