Mobile Agent Platform based Wallet for Preventing Double Spending in Offline e-Cash
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2019, Vol 10, Issue 9
Abstract
Electronic cash (or e-cash) research has been going on for more than three decades since it was first proposed. Various schemes and methods are proposed to improve privacy and secu-rity in e-cash, but there is one security issue that less discussed mainly in offline e-cash, namely, double-spending. Generally, the mechanism to deal with double-spending in offline e-cash is performing double-spending identification when depositing the coin. Even though the mechanism is successful in identifying double-spender, but it cannot prevent double-spending. This paper proposes the Mobile Agent Platform based Wallet (MAPW) to overcome the double-spending issue in offline e-cash. MAPW uses the autonomy and cooperation of agents to give protection against malicious agent, counterfeit coin and duplicate coin. This model has been verified using Colored Petri Nets (CPN) and has proven to be successful in preventing double-spending, and overcoming malicious agent, and counterfeit coins.
Authors and Affiliations
Irwan Irwan, Armein Z. R. Langi, Emir Husni
Keywords
Related Articles
- EP ID EP646220
- DOI 10.14569/IJACSA.2019.0100977
- Views 102
- Downloads 0
Software Design Principles to Enhance SDN Architecture
SDN as a network architecture emerged on top of existing technologies and knowledge. Through defining the controller as a software program, SDN made a strong connection between networking and software engineering. Tradit...
Quality EContent Design using Reusability approach
Technology is the one changing ever, and major technological innovations can make a paradigm shifts. The computer network known as the Internet is one such innovation. After affecting sweeping changes in the way people c...
Simulation Results for a Daily Activity Chain Optimization Method based on Ant Colony Algorithm with Time Windows
In this paper, a new approach is presented based on ant colony algorithm with time windows in order to optimize daily activity chains with flexible mobility solutions. This flexibility is realized by temporal and spatial...
Comparative Analysis of K-Means and Fuzzy C-Means Algorithms
In the arena of software, data mining technology has been considered as useful means for identifying patterns and trends of large volume of data. This approach is basically used to extract the unknown pattern from the la...
Fine Particulate Matter Concentration Level Prediction by using Tree-based Ensemble Classification Algorithms
Pollutant forecasting is an important problem in the environmental sciences. Data mining is an approach to discover knowledge from large data. This paper tries to use data mining methods to forecast ?PM?_(2.5) concentrat...