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With the explosion of connected devices linked to one another, the amount of transmitted data grows day by day, posing new problems in terms of information security, such as unauthorized access to users’ credentials and sensitive information. Therefore, this study employed RSA and ElGamal cryptographic algorithms with the application of SHA-256 for digital signature formulation to enhance security and validate the sharing of sensitive information. Security is increasingly becoming a complex task to achieve. The goal of this study is to be able to authenticate shared data with the application of the SHA-256 function to the cryptographic algorithms. The methodology employed involved the use of C# programming language for the implementation of the RSA and ElGamal cryptographic algorithms using the SHA-256 hash function for digital signature. The experimental result shows that the RSA algorithm performs better than the ElGamal during the encryption and signature verification processes, while ElGamal performs better than RSA during the decryption and signature generation process.

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<span>Stores today still make use of manual approaches to keeping inventory which could be cumbersome. Having a computerized inventory system would make inventory management more efficient and effective. In this chapter, an Inventory Management System using Association Rule was developed which will ensure proper record keeping and keep items in stocks updated. ANGULARJS, a JavaScript framework, was used for the implementation of the system, PHP (hypertext pre-processor) was used for the backend of the system development as well as the database management, HTML was used alongside CSS for the system interface design and NoSQL database was the database used for this research. In conclusion, a computerized inventory system that had been improved using the Association Rule method was the resulting product useful for creating transactions, updating items in stock, record keeping, generating reports for decision making, and lastly, the system will make the stores more effective.</span>

The emergence of big data as a novel model gives unparalleled composition and value for an organization. The growth of big data is posing challenges in areas such as processing, analytics, sharing, and visualization. Interestingly, the cloud computing technology also emanated to specify important required infrastructure to tackle these disputes. Cloud computing is an effective interface that’s used to manipulate enormous-scale and complicated calculations. It eliminated the requirement to sustain lavish computing hardware, dedicated infrastructure, and software. Big data and cloud computing (BDCC) are considered to become the source of productivity that drives today’s electronic business transformations. Nonetheless, the ratio of the companies that adopt and use BDCC isn’t significant. There are also obstacles to facilitating BDCC’s market proliferation. Hence, this paper aims to recognize and emphasize the factors that affect the adoption and use of BDCC in technology-organization-environment (TOE) viewpoints in enterprises. Data were obtained from a sample of 100 companies to scientifically check our system. The understanding of BDCC’s potential advantages and technical capabilities are defined as the BDCC’s important elements. Consistency with current infrastructure, data reliability and functionality, and protection and privacy are highly rated within the sense of technologies. Managerial expertise and financial expenditure capacity for the application and use of BDCC and governmental assistance and regulation are defined as organizational and environmental considerations for acceptance and use, simultaneously.

A mobile translator is a mobile application that can be utilised for translating from English to any other dialect, and vice versa. The problem of language difference has hindered effective information communication over the years. There have been difficulties in information communication amid countries over the years. In modern times, language interpreters must understand and speak both the language been translated to and verse-visa. This traditional approach used for solving the problem of language differences has not been productive and favourable. Also, the teaching of different languages can be difficult due to language difference problems. The individual will also have to be taught by a tutor who will incur extra expenses and may not be the most efficient and favourable method. Therefore, the study develops an android phone language converter app in other to make learning and language translation easy and facilitates stress-free communication. The proposed language translation uses Google’s real-time translation API natural language processing with Java programming language to develop the application. The most used languages globally (i.e., English, Spanish, Arabic, Hindi, French, and Chinese) were used for the android application translation. This application can be useful for Tourists for communication purposes, thus allowing them to integrate with the local people and access the right information. The system will also be able to evaluate language translation to determine their suitability for everyday conversation; given the fact that it is an android application, one will always be willing to use their phone to learn, compared to having them on a computer or learn from a physical tutor when your phone can be your tutor. The application was evaluated based on the classification time the memory usage, and the battery life all through distinctive use.