Securing Multimedia by Using DNA-Based Encryption in the Cloud Computing Environment
Autor: | Nageswara Rao Moparthi, Abhishek Majumder, Rupak Chakraborty, Suyel Namasudra |
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Rok vydání: | 2020 |
Předmět: |
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Multimedia Computer Networks and Communications Computer science business.industry 020206 networking & telecommunications Cloud computing 02 engineering and technology Encryption computer.software_genre law.invention Hardware and Architecture DNA computing law CloudSim 0202 electrical engineering electronic engineering information engineering Key (cryptography) 020201 artificial intelligence & image processing The Internet business computer Personally identifiable information |
Zdroj: | ACM Transactions on Multimedia Computing, Communications, and Applications. 16:1-19 |
ISSN: | 1551-6865 1551-6857 |
Popis: | Today, the size of a multimedia file is increasing day by day from gigabytes to terabytes or even petabytes, mainly because of the evolution of a large amount of real-time data. As most of the multimedia files are transmitted through the internet, hackers and attackers try to access the users’ personal and confidential data without any authorization. Thus, maintaining a strong security technique has become a significant concerned to protect the personal information. Deoxyribonucleic Acid (DNA) computing is an advanced field for improving security, which is based on the biological concept of DNA. A novel DNA-based encryption scheme is proposed in this article for protecting multimedia files in the cloud computing environment. Here, a 1024-bit secret key is generated based on DNA computing and the user's attributes and password to encrypt any multimedia file. To generate the secret key, the decimal encoding rule, American Standard Code for Information Interchange value, DNA reference key, and complementary rule are used, which enable the system to protect the multimedia file against many security attacks. Experimental results, as well as theoretical analyses, show the efficiency of the proposed scheme over some well-known existing schemes. |
Databáze: | OpenAIRE |
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