6G mobile network technology will set new standards to meet performance goals that are too ambitious for 5G networks to satisfy. The limitations of 5G networks have been apparent with the deployment of more and more 5G networks, which certainly encourages the investigation of 6G networks as the answer for the future. This research includes fundamental privacy and security issues related to 6G technology. Keeping an eye on real-time systems requires secure wireless sensor networks (WSNs). Denial of service (DoS) attacks mark a significant security vulnerability that WSNs face, and they can compromise the system as a whole. This research proposes a novel method in blockchain 6G-based wireless network security management and optimization using a machine learning model. In this research, the deployed 6G wireless sensor network security management is carried out using a blockchain user datagram transport protocol with reinforcement projection regression. Then, the network optimization is completed using artificial democratic cuckoo glowworm remora optimization. The simulation results have been based on various network parameters regarding throughput, energy efficiency, packet delivery ratio, end–end delay, and accuracy. In order to minimise network traffic, it also offers the capacity to determine the optimal node and path selection for data transmission. The proposed technique obtained 97% throughput, 95% energy efficiency, 96% accuracy, 50% end–end delay, and 94% packet delivery ratio.

Cloud has become one of the most demanding services for data storage. On another hand, the security of data is one of the challenging tasks for Cloud Service Provider (CSP). Cryptography is one of the ways for securing the storage data. Cryptography is not a new approach instead of the efficient utilization of cryptographical algorithms is greatly needed. In this work, we proposed a Secure Hidden Layer (SHL) and Application Programming Interface (API) for data encryption. The SHL is consisting of two major modules (i) Key Management Server (KMS) and (ii) Share Holder Server (SHS) which is used for storing and sharing of cryptographic key. For this purpose, we proposed a server-side encryption algorithm, which is based on the asymmetric algorithm (RSA and CRT) for providing end-to-end security of multimedia data. The experimental results of text and video are evidence that the size of file is not much affected after the encryption and effectively stored at Cloud Storage Server (CSS). The parameters like ciphertext size, encryption time and throughput are considered for performance evaluation of the proposed encryption technique.

In the 21st century, we are standing among a plethora of technologies and tools that prove the concepts of real-life applications. One such example is the internet of things (IoT) that uses sensor technology for communication. IoT is the network of physical devices that is used in various applications such as vehicles, home appliances, and telecommunication that are used to exchange data. In this chapter, the authors proposed the theoretical framework for IoT-based farming. The major challenge in farming is to deliver the product at the best possible price and quality to the end consumers. Now, in the current scenario, only 50% of the farm produce is reaching the consumer due to wastage of products, high cost, and local black marketing. The work is to focus on providing the solution based on past data analytics and current market conditions, which will help to reduce the cost and provide a minimal price to the farmer. The IoT is used for data collection, which will help to reduce the middle hops and agents between the farmer and consumer.

5G has the potential to become the future communication technology as it has the capability to provide faster download speeds, extremely low latency, and higher capacity. The deployment of 5G will be as a wi-fi that will cover the entire globe. It will serve an elevated number of devices than the previous technology; therefore, the distribution of radiofrequency electromagnetic fields (RF-EMF) will grow rapidly. Although no direct adverse effect has been reported by the service providers, the real health impact of this advanced technology is still under investigation. It is expected that the mm-wave frequency range (30-300 GHz) is ideal for 5G technology, and the devices, in this operating range, will work at very low power due to which small penetration is supposed to occur, but it will require a high density of small cells. It will increase the chances of human exposure to RF-EMF. In this chapter, a theoretical framework is used to describe the effect of 5G technology on humans and animals and also the rumors related to the adaptation of 5G technology.