E-administration is performing administrative works via computer and its associated technologies such as the Internet. It is administrative efforts that center on the exchange of information and providing services to people and the business sector at high speed and low cost through computers and networks with the assurance of maintaining information security. It is based on the positive investment in information technology and communication in administrative practices. This paper presents the design of the e-administration platform that adopts the concept of cryptography for identity management. The architectural framework of the platform comprises subcomponents for service and forms identification, business process redesign, service architecture, amalgamation, and deployment. The cryptography model for securing the platform was designed based on the combination of authentication criteria presented in the Rijndael-Advanced Encryption Standard (AES), Latticebased cryptography (LBC), and Secure Hash Algorithm (SHA512). It is required that a record be encrypted prior to its commitment to the database via a double encryption method. The AES algorithm-based encryption's output will form the input to the LBC algorithm to obtain the final output.

E-commerce is driven via Information Technology (IT) especially the web it mostly relies upon on innovative technologies that are facilitated by Electronic Data Interchange (EDI) and Electronic Payment over the web. Several researches have shown that e-commerce platforms are compromised by means of phishing and fraud attacks. This has necessitated trying to find innovative methodologies for defending e-commerce systems and users from the said threats. This research integrates Case Based Reasoning (CBR) and Adaptive Neuro-Fuzzy Inference System (ANFIS) to spot and categorise e-commerce websites transactions as legitimate or illegitimate by analyzing and evaluating some attributes. this may provide an invulnerable platforms for e-commerce users. The system, which was implemented on MATLAB, are often deployed on e-commerce systems and servers to watch e-commerce requests with the aim of identifying legitimate and illegitimate websites and transactions. The results of the implementation indicates that the machine is promising.