Blockchain technology ensures data security through an integrated system whereby it collects, arranges, stores, and disseminates information in different blocks. This technology thus enables adding the data to the network. Once data has been added to the network, no one can alter the data set either by adding or deleting it. Further, this technology also helps to track and check the changes if anything is made to a blockchain, as the changes remain in the database forever. Since this technology uses lots of systems in a blockchain, it will regularly download its data, arranging, and keeping the copy locally. Locating the data errors and cyberattacks in advance by analyzing the data documented, it employs the consent of various participants and accomplishments in cryptography. With this backdrop, the chapter has attempted to disclose the basics of blockchain technology in data security, why blockchain in cybersecurity, how it ensures cybersecurity, its benefits, its innovative uses, and the future of cybersecurity in the online business platforms.

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This paper describes the developments and changes of the population policies and their implementations in India since the 1950s. It roughly divides the population policies and the implementations into three periods. The first is a service providing period between 1952 and 1961. The second is an imperative and target oriented period between 1962 and 1977. The third is a voluntary period since April 1977. The author concludes that India‟s population control is much less effective than the government expected. In the very traditional and highly diversified India society, family planning can be advocated and promoted, but cannot be forced. Therefore, a comprehensive socioeconomic development could be a more effective way in reducing the overpopulation problem.

Pre-diabetes (comprise of IFG and IGT) is the state that occurs when a person's blood glucose levels are higher than normal but not high enough for a diagnosis of diabetes. The terms IFG and IGT refer to an intermediate metabolic stage between normal glucose and diabetes. The cross-sectional study was carried out in various locations of Telangana. The Researcher followed American Diabetic Association (ADA) criteria for defining the IFG and IGT. 1650 eligible subjects were selected for the study. Laboratory Investigations were done on subjects related to Fasting blood glucose and 2 h after Blood Glucose. Anthropometric Measurements also done to know BMI and Waist/Hip Ratio (WHR) on subjects. The data was analyzed by using Chi square test using SAS version 8.2.Demographic background and baseline data was presented descriptively. All continuous variables like height, weight and laboratory data was represented by mean +SD (Standard Deviation). Overall prevalence rate of IFG in Telangana state is around 2.75% and IGT is around 6.11%.The data proves that BMI and WHR are highly significant statistically in IFG population. The result proves that IFG population is more prone to develop obesity. This data proves that BMI and WHR is highly significant statistically in IGT population. It is true that IGT population is more prone to develop obesity. Pre diabetes can prevent or delay the development of type 2 diabetes by through changes to their lifestyle that include modest weight loss, regular exercise and proper diet.

This study aimed to investigate awareness of type 2 diabetes and how sociodemographic factors influence diabetes knowledge in a rural population of Telangana, India. Systematic random sampling was used to gather study participants in 17 villages within the Rajanna sircilla district of Telangana, India. Data on diabetes knowledge was collected using a validated questionnaire. Knowledge score range was 0–8; a score of zero was designated as ‘low knowledge’, scores 1–4 as ‘moderate knowledge’, and scores 5–8 as ‘good knowledge’. Associations between sociodemographic factors and composite diabetes knowledge score were assessed using a multinomial logistic GLLAMM model in Stata. Overall awareness of diabetes was low, with 66% of individuals having no knowledge of diabetes. Only 16% and 17% achieved a moderate and a good knowledge score, respectively. Achieving a moderate knowledge score was significantly positively associated with education, wealth and business ownership as a source of income. The low awareness of diabetes among participants of this study raises serious concerns for public health in India.