Agriculture plays a vital role in the economic life cycle of an agrarian country and considers the backbone of the economy. It supplies not just raw food materials, but also a vast number of job opportunities. Therefore, modern technology is required in agriculture to increase productivity. Wireless Sensor Networks (WSN) could be used to monitor climatic parameters in an agriculture field, such as the acidity level of soil, soil moisture, humidity, light, and so on. Climate variables have a significant impact on crop growth, quality, and productivity. These factors contribute to increased agricultural productivity in terms of both quantity and quality. WSN, on the other hand, has security risks such as impersonation, alteration, interference, and interception all of which have negative effects on crop production and other agricultural activities. The primary issues for agricultural WSN are hence privacy preservation and security enhancement. In this paper, we proposed a privacy-preserving and efficient key agreement framework for smart agriculture monitoring systems by using elliptic curve cryptography and hash function. The proposed framework is secure against various security assaults and provides secure communication in smart agriculture monitoring systems. We demonstrate the accuracy of the proposed protocol for mutual authentication and key exchange using BAN logic, and we also simulate the security correctness of the encrypted proposed framework using the well-known security verification Scyther tool. Using the ROR model, we formalize the security of the proposed system. Further, we provide a comparison based on security features, computation, and communication overheads comparison between the proposed protocol and similar protocols in the same context. Hence, when compared to other similar protocols in the same environment, the proposed protocol provides superior security and efficiency than other existing protocols. For the practical implementation of smart agriculture monitoring systems, the proposed protocol is better than comparable protocols.

In the traditional medical healthcare system, each medical facility is responsible for preserving its own records. Sharing such records with another medical establishment is difficult for them. To tackle this challenge, the traditional medical system leverages internet technology to transform into a modern electronic system. In electronic healthcare systems, managing the security and privacy of patient data becomes a major issue. As an alternative, the healthcare sector might use blockchain technology to exchange digitised healthcare data. Blockchain technology is characterised by anonymity, decentralisation, and immutability. It is hard to keep all electronic healthcare data on blockchain due to the expense and volume. Cloud computing is the best solution for storing this type of data and resolving problems like these. To address these concerns, we offer a blockchain-based key agreement protocol for cloud medical network systems that enhances privacy and security. We demonstrate a formal and informal security analysis of the proposed protocol that shows that the proposed protocol is both secure and communicative. We provide security verification of the proposed protocol by using the AVISPA software tool against man in the middle attack and replay attack. Finally, we compute the computation and communication costs of the proposed protocol and other existing protocols, the proposed protocol has less computation and communication costs than other existing protocols in the electronic healthcare system.

Authentication is a significant security prerequisite for secure communications. However, most of identity assisted mutual authentication protocols are requiring of security verification, which is extremely impartment for cryptographic approach. The proposed protocol is a better identity based mutual authentication framework for two users over secure communication network. Further, paper shows the security analysis and compares with other related protocols in secure communication.

The Internet of Things (IoT) is a future trend that uses the Internet to connect a variety of physical things with the cyber world. IoT technology is rapidly evolving, and it will soon have a significant impact on our daily lives. While the growing number of linked IoT devices makes our daily lives easier, it also puts our personal data at risk. In IoT applications, Radio Frequency Identification (RFID) helps in the automatic identification of linked devices, and the dataflow of the system forms a symmetry in communication between the tags and the readers. However, the security and privacy of RFID-tag-connected devices are the key concerns. The communication link is thought to be wireless or insecure, making the RFID system open to several known threats. In order to address these security issues, we propose a robust authentication framework for IoT-based RFID infrastructure. We use formal security analysis in the random oracle model, as well as information analysis to support the claim of secure communication. Regarding the desirable performance characteristics, we describe and analyze the proposed framework’s performance and compare it to similar systems. According to our findings, the proposed framework satisfies all security requirements while also improving the communication.

Blockchain is a very secure, authentic, and distributed technology and is very prominent in areas such as edge computation, cloud computation, and Internet-of-things. Artificial intelligence assists in the completion of activities efficiently and effectively by providing intelligence, analytics, and predicting capabilities. There is an obvious convergence between the two technologies. Artificial intelligence systems can utilize blockchain to establish trust in communication channels, ensuring that messages are securely transmitted and received without the need for a centralized intermediary. By leveraging blockchain, artificial intelligence systems can maintain an immutable record of communications, ensuring transparency and preventing unauthorized modifications. The integration of blockchain and artificial intelligence technologies can enhance the security, transparency, and privacy of communication systems. By leveraging blockchain’s decentralized nature and artificial intelligence’s analytical capabilities, secure and trustworthy communication channels can be established, benefiting various domains such as finance, healthcare, and supply chain. Overall, the integration of blockchain and artificial intelligence has the potential to offer several benefits, and as these technologies continue to evolve, new and innovative applications will continue to emerge.