In current years, drowsy driver detection is the most necessary procedure to prevent any road accidents, probably worldwide. The aim of this study was to construct a smart alert technique for building intelligent vehicles that can automatically avoid drowsy driver impairment. But drowsiness is a natural phenomenon in the human body that happens due to different factors. Hence, it is required to design a robust alert system to avoid the cause of the mishap. In this proposed paper, we address a drowsy driver alert system that has been developed using such a technique in which the Video Stream Processing (VSP) is analyzed by eye blink concept through an Eye Aspect Ratio (EAR) and Euclidean distance of the eye. Face landmark algorithm is also used as a proper way to eye detection. When the driver’s fatigue is detected, the IoT module issues a warning message along with impact of collision and location information, thereby alerting with the help of a voice speaking through the Raspberry Pi monitoring system.

Among other security concerns, the reliable device to device direct communication is an important research aspect in sensor cloud system application of Internet of things (IoT). The access control mechanism can ensure the reliability through secure communication among two IoT devices without mediation of intermediate agent. Mainly, it requires twofold strategy involving the authentication of each other and session key establishment. Quite recently, in 2019, Das et al. proposed a certificate based lightweight access control and key agreement scheme for IoT devices (LACKA-IoT) to ensure smooth and secure access control and claimed LACKA-IoT to withstand the several attacks. Specifically, it is claimed that LACKA-IoT can resist device impersonation and man in middle attacks. However, the proof in this article refutes their claim and it is shown here, that LACKA-IoT is insecure against both device impersonation and man in middle attacks. An adversary just by using public parameters and by listening the communication channel can impersonate any device. Moreover, the same can also launch successful man in middle attack using public parameters and listened messages from public channel. An improved protocol iLACKA-IoT is then proposed in the paper. The iLACKA-IoT provides resistance against various types of threats and provides the required level of security, for evidence both formal validation through random or real (ROR) model as well as the informal validation through discussion on attack resilience is provided. The iLACKA-IoT is not only better in security but also provides performance efficiency as compared with LACKA-IoT and related schemes.

To promote the United Nations’ Sustainable Development Goals (SDGs), public awareness of the importance and urgency of sustainable development should be raised by providing relevant education programs. Although game-based learning has been confirmed to be one of the most effective routes to deepen public understanding of the SDGs and sustainable development in general, games for comprehensive sustainable development-based courses have yet to be popularized. Thus, we developed a game-based learning approach that delivers comprehensive conceptual information on SDGs. Based on Kolb’s theory of experiential learning, students understood the relevance of the SDGs by playing a board game designed to simulate the real world, including national and international policies. Furthermore, considering the suspension of in-person learning and shifts to digital instruction caused by the ongoing COVID-19 pandemic, a digital version of the board game was created to compare the effects of digital and non-digital game-based learning. A comprehensive sustainable development evaluation questionnaire was developed and optimized using the fuzzy Delphi method to assess the participants’ knowledge of and attitudes toward the SDGs. Our results reveal that the digital and non-digital board game both improve students’ knowledge and attitude toward sustainable development. However, the digital board game was more effective than the non-digital board game.

Contemporary developments in providing proper security in the Internet of Things (IoT) have been made signcryption scheme highly suitable for various applications such as smart cities, smart healthcare and smart agriculture. However, security and privacy are the primary concerns in protecting data as it was highly sensitive. This paper is proposing a new Identity based online/off-line signcryption scheme suitable to provide secure message communication among IoT devices, gateway, and the server. This method is divided into the online and offline phases, where heavy mathematical computations are carried out in the offline phase and light computations in the online phase. This scheme provides a security solution for integrating Wireless Sensor Networks (WSNs) into the IoT. Experimentation was done and finally compared against existing techniques and proved that the proposed mechanism reduces the computation time in online by performing a greater number of operations in off-line signcryption phase. Further, it provides indistinguishability against adaptive chosen ciphertext attacks and existential unforgeability against adaptive chosen messages attacks.

The design of the Controller Area Network (CAN bus) did not account for security issues and, consequently, attacks often use external mobile communication interfaces to conduct eavesdropping, replay, spoofing, and denial-of-service attacks on a CAN bus, posing a risk to driving safety. Numerous studies have proposed CAN bus safety improvement techniques that emphasize modifying the original CAN bus method of transmitting frames. These changes place additional computational burdens on electronic control units cause the CAN bus to lose the delay guarantee feature. Consequently, we proposed a method that solves these compatibility and security issues. Simple and efficient frame authentication algorithms were used to prevent spoofing and replay attacks. This method is compatible with both CAN bus and CAN-FD protocols and has a lower operand when compared with other methods.

The blend of Internet of Things (IoT) and social networking has introduced the emerging notion of social Internet of Things, which is bringing advancements in the operation of concerned industries. There are various prevailing applications of social internet of things; smart grid is one of them. The smart grid is considered as economical robust and intuitive replacement of the conventional grid. However, smart grid experiences two significant challenges, i.e. privacy and security. This article is dedicated to resolve the privacy and security concerns for the vehicle to grid networks to facilitate their large-scale integration with smart grids. As anticipation, a vigorous key agreement protocol is introduced to achieve mutual authentication with an aided feature of user anonymity. Moreover, efficiency in terms of computation, communication and storage needs to be taken care for resource-constrained infrastructure like vehicle to grid network. We have introduced a lightweight key agreement protocol using lightweight cryptographic operations such as exclusive-OR and hash etc. This protocol is validated through a formal security model. An informal security analysis is also elaborated to present the security strength of our protocol against well-known attacks. Furthermore, we have implemented all the cryptographic operations used at trusted agent's side on a desktop system, while the operations used at battery vehicle unit's side are implemented on an Arduino to get the experimental results. In the end, we have presented a performance analysis to compare the performance of our protocol with related ones. This comparison highlights that our protocol is not only lightweight but also efficient in terms of communication and storage cost of related protocols.