The entire world is under the existential health emergency: the spread of a contagious corona virus. Since this pandemic can be classified as moderate, mild and high risk. But the same method is there to quarantine, monitor and treat with the same set of drugs. Technology is growing at a fast pace and is trying its level best to control, cure and diagnose at the earliest so that the contagious nature of this disease is controlled by Big Data , Artificial Intelligence, Genetic algorithms etc. The only solution to stop this community spread is to have a full proof contact tracing mechanism wherein the diagnosed corona positive patient can be backtracked in real time and all the proximity users are warned and take precautionary measures to stop the spread of this disease. Till now the contact tracing mechanism only highlight the proximity user but no such mechanism is available to signify the risk analysis of those users. In this paper the new algorithm has been developed GABFCov-19 which is based on genetic algorithm. This algorithm will generate high probability positive cases so that it can reduce the community spread. This algorithm is the extended version of the contact tracing mechanism where the clusters are identified. The clusters have been taken from the proximity cluster users and converted into chromosomes that are again operated using selection, crossover and mutation operators’ in order to categorize the proximity users as mild, moderate and high risk. The proposed algorithm is tested on dataset and obtained significant results.

As we introduce the period of 6G, another rush of mechanical progressions delivers extraordinary open doors closed by complicated difficulties in the domains of organization security and information protection. This chapter dives into the effects and difficulties related with defending touchy data in the advancing scene of 6G conditions. We investigate the many-sided transaction between state-of-the-art advancements and the need to maintain strong safety efforts, underlining the basic significance of adjusting methodologies to address arising dangers. The chapter examines the novel attributes of 6G organizations, distinguishing possible weaknesses and dangers that request creative arrangements. From the incorporation of computerized reasoning and the Web of Things to the expansion of edge processing, every viewpoint presents both commitment and hazard. We dig into the ramifications for information security, inspecting the sensitive harmony among availability and shielding individual and authoritative data. Besides, the chapter frames down-to-earth systems and structures to sustain network security in 6G conditions, taking into account the unique idea of digital dangers. It likewise investigates administrative and moral contemplations, highlighting the requirement for a far-reaching approach that stretches out past specialized arrangements. <!----> <!----> <!----> <!---->