Quantum Cyber-Attack on Blockchain-based VANET

Blockchain-based Vehicular Ad-hoc Network (VANET) is widely considered as secure communication architecture for a connected transportation system. With the advent of quantum computing, there are concerns regarding the vulnerability of this architecture against cyber-attacks. In this study, a potential threat is investigated in a blockchain-based VANET, and a corresponding quantum cyber-attack is developed. Specifically, a quantum impersonation attack using Quantum-Shor algorithm is developed to break the Rivest-Shamir-Adleman (RSA) encrypted digital signatures of VANET and thus create a threat for the trust-based blockchain scheme of VANET. A blockchain-based VANET, vehicle-to-everything (V2X) communication, and vehicular mobility are simulated using OMNET++, the extended INET library, and vehicles-in-network simulation (VEINS) along with simulation of urban mobility (SUMO), respectively. A small key RSA based message encryption is implemented using IBM Qiskit, which is an open-source quantum software development kit. The findings reveal that the quantum cyber-attack, example, impersonation attack is able to successfully break the trust chain of a blockchain-based VANET. This highlights the need for a quantum secured blockchain.Comment: This paper consists of 10 pages with 7 figures. It has been submitted to IEEE Internet of Things Journa

Digital Twin Technology Enabled Proactive Safety Application for Vulnerable Road Users: A Real-World Case Study

While measures, such as traffic calming and advance driver assistance systems, can improve safety for Vulnerable Road Users (VRUs), their effectiveness ultimately relies on the responsible behavior of drivers and pedestrians who must adhere to traffic rules or take appropriate actions. However, these measures offer no solution in scenarios where a collision becomes imminent, leaving no time for warning or corrective actions. Recently, connected vehicle technology has introduced warning services that can alert drivers and VRUs about potential collisions. Nevertheless, there is still a significant gap in the system's ability to predict collisions in advance. The objective of this study is to utilize Digital Twin (DT) technology to enable a proactive safety alert system for VRUs. A pedestrian-vehicle trajectory prediction model has been developed using the Encoder-Decoder Long Short-Term Memory (LSTM) architecture to predict future trajectories of pedestrians and vehicles. Subsequently, parallel evaluation of all potential future safety-critical scenarios is carried out. Three Encoder-Decoder LSTM models, namely pedestrian-LSTM, vehicle-through-LSTM, and vehicle-left-turn-LSTM, are trained and validated using field-collected data, achieving corresponding root mean square errors (RMSE) of 0.049, 1.175, and 0.355 meters, respectively. A real-world case study has been conducted where a pedestrian crosses a road, and vehicles have the option to proceed through or left-turn, to evaluate the efficacy of DT-enabled proactive safety alert systems. Experimental results confirm that DT-enabled safety alert systems were succesfully able to detect potential crashes and proactively generate safety alerts to reduce potential crash risk.Comment: 19 pages, 9 figures, submitted to the Transportation Research Board 2024 TRB Annual Meetin

Does Governance Facilitate Foreign Direct Investment in Developing Countries?

Using panel data analysis, it is an attempt to estimates the significance of governance on foreign direct investment for a sample of 80 developing countries from 1998 to 2014. For exploring the relationship, the paper has used the Kaufmann et al. (2003) interpretation concerning the governance. Generalized least square (GLS), feasible GLS (FGLS), pooled OLS, random effect, fixed effect, poisson regression, prais-winsten, generalized method of movement (GMM) and generalized estimating equation (GEE) method are utilizing for estimates the importance of governance for facilitating foreign direct investment. According to the OLS method ,for the governance variables the coefficient implies that a one standard deviation improvement in voice and accountability, political stability and absence of violence, government effectiveness, regulatory qualities, rules of law and control of corruption increases FDI by  29.4%, 29.2%, 28.6%, 20.5%, 23.1% and 23.6% respectively. Keywords: governance, foreign direct investment, generalized least square, generalized estimating equation JEL Classifications: C55, E22, G3

Artificial intelligence approaches for advanced battery management system in electric vehicle applications : a statistical analysis towards future research opportunities

In order to reduce carbon emissions and address global environmental concerns, the automobile industry has focused a great deal of attention on electric vehicles, or EVs. However, the performance and health of batteries can deteriorate over time, which can have a negative impact on the effectiveness of EVs. In order to improve the safety and reliability and efficiently optimize the performance of EVs, artificial intelligence (AI) approaches have received massive consideration in precise battery health diagnostics, fault analysis and thermal management. Therefore, this study analyzes and evaluates the role of AI approaches in enhancing the battery management system (BMS) in EVs. In line with that, an in-depth statistical analysis is carried out based on 78 highly relevant publications from 2014 to 2023 found in the Scopus database. The statistical analysis evaluates essential parameters such as current research trends, keyword evaluation, publishers, research classification, nation analysis, authorship, and collaboration. Moreover, state-of-the-art AI approaches are critically discussed with regard to targets, contributions, advantages, and disadvantages. Additionally, several significant problems and issues, as well as a number of crucial directives and recommendations, are provided for potential future development. The statistical analysis can guide future researchers in developing emerging BMS technology for sustainable operation and management in EVs. © 2023 by the authors

EDUCATION IN EMERGENCY: A CLIMATE CHANGE ADAPTATION AGENDUM TOWARDS THE SOCIO-ECONOMIC PROPAGATION OF BANGLADESH

Both the scientific and negotiating community has recognized Bangladesh as one of the most vulnerable countries to Climate Change effect which in future is likely to face more frequent climatic adversities. This paper emphasizes on putting the theme of ‘Education in Emergency’ in all climate change adaptation efforts in the country which can enable it to safeguard country’s important education sector during any disaster or in the recovery phase. Education has received inconsiderable amount of importance in those efforts and ultimately encompassed all the spheres of social, emotional, cognitive and physical ground which decelerate multifarious predicaments and adversities. In preparing this paper the authors highly rely on secondary sources of data. In the era of globalization, a vast number of populations remain untouched or being detracted from the light of education. It is particularly fact for country like Bangladesh where natural calamity is an incessant event due to the intrusion of globalization. Bilateral, multilateral, regional and global affiliation and association can be undertaken to the depletion of hindrances. Besides, substantial and congruous strategies, plans, policies and programs within the internal infrastructure may assist to mitigate this endanger and also comply with the commitment of education for all even in the cataclysm. For accomplishing responsiveness and flourishing prowess, an integrating approach to the management of Education in Emergency (EiE) requires coordination and collaboration among government departments or ministries and agencies, designing and upgrading courses (including issues like Need for Sustainable Development and Actions for Environment Protection, Environmental Management Tools & Environmental Assessment, Environment Pollution Management, Progress in Environmental Science, International Environment Laws etc.), as well as superior and immaculate information technology to resolve this consternation and vulnerability. Propitious and admissible approaches can ensure eco-balance and sustainable socio-economic development in a vulnerable country like Bangladesh with a proper accentuation on education in emergency. This paper will be highly helpful for policy makers both in private and public sectors to ensure sound education opportunity in the highly disaster prone i.e., coastal areas. However, this piece of effort might also cut attention of the human rights workers

Measurement of a compact Boomarang-shaped microstrip antenna for wireless sensor network applications

The miniaturization of electronic devices has facilitated increasing interest in new applications of wireless communication. In this paper, a new miniature microstrip fed boomerang-shaped patch antenna has been proposed and designed for a wireless sensor network (WSN) application. In this design, the proposed antenna possesses a wide bandwidth by loading of a boomerang-shaped patch; with a 50 microstrip feed line and a partial ground plane. A one-step staircase slot is embedded in the ground plane to enhance the impedance matching over a wide frequency range. The antenna occupies a small size of 10 × 12 mm2, or 1.2 cm2. The simulated results are verified with measured results. The measured result shows that the achievable bandwidth of 69% (8.48–17.45 GHz). The antenna possesses stable radiation patterns and acceptable gain. The proposed low profile antenna is suitable to integrate with sensors for wireless sensor network in X-band and Ku band applications