Ernest Barfo Boadi Gyebi's research while affiliated with University of Ghana and other places

Cryptographic algorithms enable secure data communication over public insecure networks. Though they enhance network security, complex cryptographic operations consume substantial amounts of computing resources, introducing significant network overhead costs. This study aims to find the cryptographic algorithm that can efficiently utilize network resources. The study evaluates three cryptographic algorithms with different file formats on varying numbers of node densities. The NS-3 simulator was used to measure latency, data throughput, end-to-end delay, packet delivery ratio, and packet loss of files in text, image, and audio formats. The results find AES as better than DES and 3DES for a large number of node densities for the three file formats in terms of latency, data throughput, end-to-end delay, and packet delivery ratio. However, DES has the lowest packet loss as AES records the highest packet loss. The findings provide researchers avenues for further research and the practitioners the choice of suitable algorithms based on the overhead performance.

Personal identification number (PIN) is a common user authentication method widely used especially for automated teller machines and point-of-sales devices. The user's PIN entry is susceptible to shoulder-surfing and inference attacks, where the attacker can obtain the PIN by looking over the user's shoulder. The conventional keypad with a fixed layout makes it easy for the attacker to infer the PIN entered by casual observation. This paper proposes a method of authentication to address these challenges. The paper develops a prototype numeric keypad with a layout akin to the conventional keypad, with the keys randomized for each PIN entry. The shuffle algorithm, Durstenfeld shuffle algorithm, is implemented in an application developed using JavaScript, which is a prototype-based object-oriented programming application that conforms to the ECMAScript specification. The prototype is implemented on three computing platforms for evaluation. The test proves the effectiveness of the system to mitigate shoulder-surfing and inference attacks.