Abstract
Data encryption has become a crucial need for almost all data transaction application due to the large diversity of the remote information exchange. A huge value of sensitive data is transferred daily via different channels such as e-commerce, electronic banking and even over simple email applications. Advanced Encryption Standard (AES) algorithm has become the optimum choice for various security services in numerous applications. Therefore, many researches get focused on that algorithm in order to improve its efficiency and performance. This paper presents a survey about the cutting edge research conducted for the AES algorithm issues and aspects in terms of developments, implementations and evaluations. The contribution of this paper is targeted toward building a base for future development and implementation of the AES algorithm. It also opens door for implementing the AES algorithm using some machine learning techniques.
| Original language | English |
|---|---|
| Title of host publication | Advanced Machine Learning Technologies andApplications |
| Subtitle of host publication | First International Conference, AMLTA 2012 Cairo, Egypt, December 8-10, 2012 Proceedings |
| Publisher | Springer Verlag |
| Pages | 516-523 |
| Number of pages | 8 |
| ISBN (Print) | 9783642353253 |
| DOIs | |
| Publication status | Published - 2012 |
| Externally published | Yes |
Publication series
| Name | Communications in Computer and Information Science |
|---|---|
| Volume | 322 |
| ISSN (Print) | 1865-0929 |
Keywords
- Advanced Encryption Standard
- ASIC
- Cryptography
- FPGA
- Machine Learning
ASJC Scopus subject areas
- Computer Science(all)
- Mathematics(all)