In the dynamic environment, records and management systems are independently maintained by education institutions, libraries and books whilst data are not readily accessible in a centralized position. Big data is being created due to digitalization of libraries and this has imposed limitations to researchers, educationists, scholars and policy maker's efforts in improving the quality and efficiency. As a result, serving the users with books and articles that are in line with their interests is a great challenge. This paper addresses the issues of bringing various sources of information from different sources and institutions into one place in real time which can be time saving. The primary objective is to decrease the time that lapses between searching the reading material and the actual reading. Thus, a mechanism by which this bridge can be gapped is of paramount importance as access to information is costly especially to those with limited internet access. The research focuses on the development of a strategy that reduces time of finding reading material and this is in line with current recommendation system. Through this system there is great analyses of book descriptions to identify books that are in line with users' interests. Within time huge amount of data is collected from the researchers, educationists, scholars and policy makers and this big data will be used to train machines to automate the tasks to some extent. As a result, the valuable information gained from analyzing massive amounts of aggregated libraries data can provide key insights in improving information accessibility. This makes researchers, educationists, scholars and policy maker's reach out for research solutions easily and cheaply and also makes information more accessible to the underprivileged and marginalized.

Purpose: The aim of this research is to thoroughly analyze blockchain with respect to the role it plays in cybersecurity, and how this role may affect the future of blockchain and cybersecurity. Also, gaps are identified along with the shortcomings that cause these gaps. This research also identifies possible solutions to the gaps or issues. Method: the research approach used here is a review of the literature using the systematic-analysis technique. Other works that address various aspects of blockchain are analyzed in-depth to show its effectiveness. Results: there is a great possibility that blockchain is one of the future's greatest cybersecurity solutions. Among the major issues include quantum computing, user habits, and conflicting interests. All these issues have various ways through which they can be addressed effectively in order to brighten the future of blockchain's applicability in cybersecurity. Conclusion: blockchain, as it is, promotes fraud in cryptocurrency and therefore needs modification. Blockchain only needs reinforcement from technologies such as Artificial Intelligence and Machine learning to make it the future's most dependable cybersecurity provider. ABSTRACTHttps://escipub.com/american-journal-of-computer-sciences-and-applications/ 1Ayman Abdulsalam Mohamed Al-Dherasi et al., AJCSA, 2019; 2:21 Https://escipub.com/american-journal-of-computer-sciences-and-applications/ 2