Perspective of DNA computing in computer science
著者
書誌事項
Perspective of DNA computing in computer science
（Advances in computers, v. 129）
Academic Press, an imprint of Elsevier, c2023
大学図書館所蔵 全2件
注記
Includes bibliographical references
内容説明・目次
内容説明
DNA or Deoxyribonucleic Acid computing is an emerging branch of computing that uses DNA sequence, biochemistry, and hardware for encoding genetic information in computers. Here, information is represented by using the four genetic alphabets or DNA bases, namely A (Adenine), G (Guanine), C (Cytosine), and T (Thymine), instead of the binary representation (1 and 0) used by traditional computers. This is achieved because short DNA molecules of any arbitrary sequence of A, G, C, and T can be synthesized to order. DNA computing is mainly popular for three reasons: (i) speed (ii) minimal storage requirements, and (iii) minimal power requirements.
There are many applications of DNA computing in the field of computer science. Nowadays, DNA computing is widely used in cryptography for achieving a strong security technique, so that unauthorized users are unable to retrieve the original data content. In DNA-based encryption, data are encrypted by using DNA bases (A, T, G, and C) instead of 0 and 1. As four DNA bases are used in the encryption process, DNA computing supports more randomness and makes it more complex for attackers or malicious users to hack the data. DNA computing is also used for data storage because a large number of data items can be stored inside the condensed volume. One gram of DNA holds approx DNA bases or approx 700 TB. However, it takes approx 233 hard disks to store the same data on 3 TB hard disks, and the weight of all these hard disks can be approx 151 kilos. In a cloud environment, the Data Owner (DO) stores their confidential encrypted data outside of their own domain, which attracts many attackers and hackers. DNA computing can be one of the best solutions to protect the data of a cloud server. Here, the DO can use DNA bases to encrypt the data by generating a long DNA sequence. Another application of DNA computing is in Wireless Sensor Network (WSN). Many researchers are trying to improve the security of WSN by using DNA computing. Here, DNA cryptography is used along with Secure Socket Layer (SSL) that supports a secure medium to exchange information. However, recent research shows some limitations of DNA computing. One of the critical issues is that DNA cryptography does not have a strong mathematical background like other cryptographic systems.
This edited book is being planned to bring forth all the information of DNA computing. Along with the research gaps in the currently available books/literature, this edited book presents many applications of DNA computing in the fields of computer science. Moreover, research challenges and future work directions in DNA computing are also provided in this edited book.
目次
1. Introduction to DNA Computing Tarun Kumar and Suyel Namasudra 2. Security, Privacy and Trust Management of DNA Computing Maria Fernandes, Jeremie Decouchant and Francisco Couto 3. DNA Computing in Cryptography Jiechao Gao and Tiange Xie 4. A Novel Image Encryption and Decryption Scheme by using DNA Computing Chiranjeev Bhaya, Arup Kumar Pal and SK Hafizul Islam 5. Hiding Information in an Image Using DNA Cryptography P. Bharati Devi, P. Ravindra and R. Kiran Kumar 6. The Design of a S-box based on DNA Computing and Chaos Theories Jun Peng, Shangzhu Jin, Yingxu Wang, Xi Zheng and Xiangren Wang 7. DNA Computing based Big Data Storage Deepak Sharma and Manojkumar Ramteke 8. Securing Confidential Data in the Cloud Environment by using DNA Computing Divyansh Agrawal and Sachin Minocha 9. Secure data communication using DNA computing adaptable to wireless sensor network Satish Gunasekaran and Manish Kumar 10. Research Challenges and Future Work Directions in DNA Computing Sachin Minocha and Suyel Namasudra
「Nielsen BookData」 より