Abstract
Information security is very important in the current era as we share most of the information through digital media/Internet. Cryptography is a technique which converts the secret information into some other form which is referred to as ciphertext. In order to have a strong ciphertext, one should have a strong cryptography algorithm as well as the secured key. The performance of any cryptography algorithm can be measured through the secret text input file size (number of bytes), performance time to encrypt input file and how fast it can be retrieved the secret text through cryptanalysis attack. In this paper, a socio-inspired optimization algorithm referred as cohort intelligence (CI) is applied to the secret text to retrieve the optimized ciphertext. The efficiency of the algorithm is also analyzed in this paper with respect to the secret text capacity and time.
Original language | English |
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Title of host publication | Proceedings of the 2nd International Conference on Data Engineering and Communication Technology - ICDECT 2017 |
Editors | Ali Husseinzadeh Kashan, Tai Kang, Anand J. Kulkarni, Suresh Chandra Satapathy |
Place of Publication | Singapore |
Publisher | Springer |
Pages | 431-439 |
Number of pages | 9 |
ISBN (Electronic) | 978-981-13-1610-4 |
ISBN (Print) | 978-981-13-1609-8 |
DOIs | |
Publication status | Published - 4 Oct 2018 |
Externally published | Yes |
Event | 2nd International Conference on Data Engineering and Communication Technology, ICDECT 2017 - Pune, India Duration: 15 Dec 2017 → 16 Dec 2017 Conference number: 2 |
Publication series
Name | Advances in Intelligent Systems and Computing |
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Publisher | Springer |
Volume | 828 |
ISSN (Print) | 2194-5357 |
ISSN (Electronic) | 2194-5365 |
Conference
Conference | 2nd International Conference on Data Engineering and Communication Technology, ICDECT 2017 |
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Abbreviated title | ICDECT 2017 |
Country/Territory | India |
City | Pune |
Period | 15/12/17 → 16/12/17 |
Keywords
- n/a OA procedure
- Cryptography
- Estimated time
- Secret text capacity
- Cohort intelligence