research-article

Towards DNA based data security in the cloud computing environment

Authors:

Suyel Namasudra,

Debashree Devi,

Seifedine Kadry,

Revathi Sundarasekar,

A. ShanthiniAuthors Info & Claims

Volume 151, Issue C

Pages 539 - 547

https://doi.org/10.1016/j.comcom.2019.12.041

Published: 01 February 2020 Publication History

Abstract

Nowadays, data size 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. Most of the big data is transmitted through the internet and they are stored on the cloud computing environment. As cloud computing provides internet-based services, there are many attackers and malicious users. They always try to access user’s confidential big data without having the access right. Sometimes, they replace the original data by any fake data. Therefore, big data security has become a significant concern recently. Deoxyribonucleic Acid (DNA) computing is an advanced emerged field for improving data security, which is based on the biological concept of DNA. A novel DNA based data encryption scheme has been proposed in this paper for the cloud computing environment. Here, a 1024-bit secret key is generated based on DNA computing, user’s attributes and Media Access Control (MAC) address of the user, and decimal encoding rule, American Standard Code for Information Interchange (ASCII) value, DNA bases and complementary rule are used to generate the secret key that enables the system to protect against many security attacks. Experimental results, as well as theoretical analyses, show the efficiency and effectivity of the proposed scheme over some well-known existing schemes.

References

[1]

Huthand J. Chebula A., The Basics of Cloud Computing, Carnegie Mellon University, 2011.

[2]

Namasudra S., Nath S., Majumder A., Profile based access control model in cloud computing environment, in: Proceedings of the International Conference on Green Computing, Communication and Electrical Engineering, IEEE, Coimbatore, India, 2014, pp. 1–5.

[3]

Zhang Q., Cheng L., Boutaba R., Cloud computing: state-of-the-art and research challenges, J. Internet Serv. Appl. 1 (1) (2010) 7–18.

[4]

Chang V., Kuo Y.H., Ramachandran M., Cloud computing adoption framework: a security framework for business clouds, Future Gener. Comput. Syst. 57 (2016) 24–41.

Digital Library

[5]

Kumar S., Wollinger T., Fundamentals of symmetric cryptography, in: Lemke K., Paar C., Wolf M. (Eds.), Embedded Security in Cars, Springer, Berlin, Heidelberg, 2006, pp. 125–143.

[6]

Schneier B., Applied Cryptography, second ed., Wiley & sons, 1996.

[7]

Namasudra S., An improved attribute-based encryption technique towards the data security in cloud computing, in: Concurrency and Computation: Practice and Exercise, 2017,.

[8]

Sarkar M., Saha K., Namasudra S., Roy P., An efficient and time saving web service based android application, SSRG Int. J. Comput. Sci. Eng. 2 (8) (2015) 18–21.

[9]

Namasudra S., Roy P., Balamurugan B., Cloud computing: fundamentals and research issues, in: Proceedings of the 2nd International Conference on Recent Trends and Challenges in Computational Models, IEEE, Tindivanam, India, 2017.

[10]

Deka G.C., Das P.K., An overview on the virtualization technology, in: Handbook of Research on Cloud Infrastructures for Big Data Analytics, 2014,.

[11]

Namasudra S., Taxonomy of DNA-based security models, in: Namasudra S., Deka G.C. (Eds.), Advances of DNA Computing in Cryptography, Taylor & Francis, 2018, pp. 53–68.

[12]

Namasudra S., Roy P., Balamurugan B., Vijayakumar P., Data accessing based on the popularity value for cloud computing, in: Proceedings of the International Conference on Innovations in Information, Embedded and Communications Systems (ICIIECS), IEEE, Coimbatore, India, 2017.

[13]

D. Devi, S.K. Biswas, B. Purakayastha, Redundancy-driven modified Tomek-link based undersampling: a solution to class imbalance, Pattern Recognit. Lett., 93, 3-122017.

[14]

Namasudra S., Roy P., Secure and efficient data access control in cloud computing environment: a survey, Multiagent Grid Syst.- Int. J. 12 (2) (2016) 69–90.

[15]

G.C. Deka, M. Kathing, D.P. Kumar, Library automation in cloud, in: Proceedings of the International Conference on Computational Intelligence and Communication Networks, Mathura, 2013.

[16]

Namasudra S., Deka G.C., Advances of DNA Computing in Cryptography, Taylor & Francis, 2018.

[17]

Namasudra S., Devi D., Choudhary S., Patan R., Kallam S., Security, privacy, trust, and anonymity, in: Namasudra S., Deka G.C. (Eds.), Advances of DNA Computing in Cryptography, Taylor & Francis, 2018, pp. 153–166.

[18]

Namasudra S., Roy P., Time saving protocol for data accessing in cloud computing, IET Commun. 11 (10) (2017).

[19]

Namasudra S., Deka G.C., Introduction of DNA computing in cryptography, in: Namasudra S., Deka G.C. (Eds.), Advances of DNA Computing in Cryptography, Taylor & Francis, 2018, pp. 27–34.

[20]

Namasudra S., Roy P., PpBAC: popularity based access control model for cloud computing, J. Organ. End User Comput. 30 (4) (2018) 14–31.

[21]

Namasudra S., Deka G.C., Bali Rohan, Applications and future trends of DNA computing, in: Namasudra S., Deka G.C. (Eds.), Advances of DNA Computing in Cryptography, Taylor & Francis, 2018.

[22]

G.C. Deka, M.D. Borah, Cost benefit analysis of cloud computing in education, in: Proceedings of the International Conference on Computing, Communication and Applications, 2012, pp. 1–6.

[23]

Namasudra S., Roy P., A new table based protocol for data accessing in cloud computing, J. Inf. Sci. Eng. 33 (3) (2016) 585–609.

[24]

Shamir A., Identity-based cryptosystems and signature schemes, in: Blakley G.R., Chaum D. (Eds.), Advances in Cryptology, Springer, 1985, pp. 47–53.

[25]

D.F. Ferraiolo, D.R. Kuhn, Role-based access controls, in: Proceedings of the 15th National Computer Security Conference, Baltimore, USA, 1992, pp. 554–563.

[26]

V. Goyal, O. Pandey, A. Sahai, B. Waters, Attribute-based encryption for fine-grained access control of encrypted data, in: Proceedings of the 13th ACM Conference on Computer and Communications Security, New York, USA, 2006, pp. 89–98.

[27]

J. Bethencourt, A. Sahai, B. Waters, Ciphertext-policy attribute based encryption, in: Proceedings of the IEEE Symposium on Security and Privacy, Berkeley, CA, 2007, pp. 321–334.

[28]

Mian R., Martin P., Poletti J.L.V., Provisioning data analytic workloads in a cloud, Future Gener. Comput. Syst. 29 (6) (2013) 1452–1458.

Digital Library

[29]

Ajgaonkar S., Indalkar H., Jeswani J., Activity based access control model for cloud computing, Int. J. Curr. Eng. Technol. 5 (2) (2015) 708–713.

[30]

Guoyuan L., Danru W., Yuyu B., Min L., MTBAC: a mutual trust based access control model in cloud computing, China Commun. 11 (4) (2014) 154–162.

[31]

Auxilia M., Raja K., Ontology centric access control mechanism for enabling data protection in cloud, Indian J. Sci. Technol. 9 (23) (2016) 1–7.

[32]

Raghavendra S., et al., Index generation and secure multi-user access control over an encrypted cloud data, Procedia Comput. Sci. 89 (2016) 293–300.

[33]

Alam Q., et al., A cross tenant access control (CTAC) model for cloud computing: formal specification and verification, IEEE Trans. Inf. Forensics Secur. 12 (6) (2017) 1259–1268.

Digital Library

[34]

Almutairi A., Sarfraz M.I., Ghafoo A., Risk-aware management of virtual resources in access controlled service-oriented cloud datacenters, IEEE Trans. Cloud Comput. 6 (1) (2018) 168–181.

[35]

Xie Y., Wen H., Wu B., Jiang Y., Meng J., A modified hierarchical attribute-based encryption access control method for mobile cloud computing, IEEE Trans. Cloud Comput. 7 (2) (2019) 383–391.

[36]

Adleman L.M., Molecular computation of solutions to combinatorial problems, Science 266 (5187) (1994) 1021–1024.

[37]

Clelland C.T., Risca V., Bancroft C., Hiding messages in DNA microdots, Nature 399 (6736) (1999) 533–534.

[38]

Leier A., Richter C., Banzhaf W., Rauhe H., Cryptography with DNA binary strands, Biosystems 57 (1) (2000) 13–22.

[39]

Tanaka K., Okamoto A., Saito I., Public-key system using DNA as a one-way function for key distribution, Biosystems 81 (1) (2005) 25–29.

[40]

MingXin L., XueJia L., GuoZhen X., Lei Q., Symmetric-key cryptosystem with DNA technology, Sci. China F 50 (3) (2007) 324–333.

[41]

Enayatifar R., Abdullah A.H., Isnin I.F., Chaos-based image encryption using a hybrid genetic algorithm and a DNA sequence, Opt. Lasers Eng. 56 (2014) 83–93.

[42]

Wang B., Xie Y., Zhou S., Zhou C., Zheng X., Reversible data hiding based on DNA computing, Comput. Intell. Neurosci. (2017),.

Digital Library

[43]

Murugan A., Thilagavathy R., Cloud storage security scheme using DNA computing with morse code and zigzag pattern, in: Proceedings of the IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI-2017), IEEE, 2018, pp. 2263–2268.

[44]

Sohal M., Sharma S., BDNA-A DNA inspired symmetric key cryptographic technique to secure cloud computing, J. King Saud Univ.-Comput. Inf. Sci. (2019),.

Digital Library

[45]

Namasudra S., Cloud computing: a new era, J. Fundam. Appl. Sci. 10 (2) (2018) 113–135.

[46]

Eze A.O., E C.C., Malware analysis and mitigation in information preservation, IOSR J. Comput. Eng. 20 (4) (2018) 53–62.

[47]

Tiri K., Side-channel attack pitfalls, in: Proceedings of the 44th ACM/IEEE Design Automation Conference, IEEE, San Diego, USA, 2007.

[48]

Jagatic T.N., Johnson N.A., Jakobsson M., Menczer F., Social phishing, Commun. ACM 50 (10) (2007) 94–100.

Digital Library

[49]

Salem M.B., Hershkop S., Stolfo S.J., A survey of insider attack detection research, in: Stolfo S.J., Bellovin S.M., Keromytis A.D., Hershkop S., Smith S.W., Sinclair S. (Eds.), Insider Attack and Cyber Security, in: Advances in Information Security, vol. 39, Springer, Boston, MA, 2008.

[50]

Prakash A., Satish M., Bhargav T.S.S., Bhalaji N., Detection and mitigation of denial of service attacks using stratified architecture, Procedia Comput. Sci. 87 (2016) 275–280.

[51]

Calheiros R.N., Ranjan R., Beloglazov A., CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms, Softw.-Pract. Exp. (SPE) 41 (1) (2011) 23–50.

[52]

Apache commons math, 2018, Available: http://commons.apache.org/proper/commons-math/download_math.cgi [Accessed on 14 2018].

[53]

CityPulse dataset collection, 2018, Available: http://iot.ee.surrey.ac.uk:8080/datasets.html [Accessed on 15 2018].

Cited By

Abd SAli MJaber MAbosinnee AKareem ZWahab AHassan RJassim M(2024)Secured finance handling for supply chain integrated business intelligence using blockchain application scenariosIntelligent Data Analysis10.3233/IDA-22744528:2(553-571)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.3233/IDA-227445
K. Soman VNatarajan V(2024)Crypto Deep Ring Topology Firewall in Sensitive Data Transmission and Retrieval in CloudIET Information Security10.1049/2024/88210862024Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1049/2024/8821086
Srivastava APandey DAgarwal A(2024)An Enhanced D Level Cut-Off Point-Quantum Secret Sharing Access Structure Scheme Based Efficient Monitoring Key Ciphertext Attributes with Encryption Access Control with Blockchain and Key Mechanism for Security in Cloud ComputingWireless Personal Communications: An International Journal10.1007/s11277-024-11021-6135:1(367-387)Online publication date: 1-Mar-2024
https://dl.acm.org/doi/10.1007/s11277-024-11021-6
Show More Cited By

Index Terms

Towards DNA based data security in the cloud computing environment
1. Security and privacy
  1. Cryptography
    1. Public key (asymmetric) techniques

Index terms have been assigned to the content through auto-classification.

Recommendations

Securing Multimedia by Using DNA-Based Encryption in the Cloud Computing Environment
Special Issue on Privacy and Security in Evolving Internet of Multimedia Things and Regular Papers

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, ...
Secure confidential big data sharing in cloud computing using KP-ABE
BDCA'17: Proceedings of the 2nd international Conference on Big Data, Cloud and Applications

In recent year, cloud computing and big data have become the hottest research topics which attract the attention of researchers due to its potential to provide major benefits to the industry and the community. Currently, the Organizations have a new ...
Cloud Computing Security: Amazon Web Service
ACCT '15: Proceedings of the 2015 Fifth International Conference on Advanced Computing & Communication Technologies

Cloud Computing is a recently emerged model which is becoming popular among almost all enterprises. It involves the concept of on demand services which means using the cloud resources on demand and we can scale the resources as per demand. Cloud ...

Comments

Information & Contributors

Information

Published In

cover image Computer Communications

Computer Communications Volume 151, Issue C

Feb 2020

590 pages

ISSN:0140-3664

Issue’s Table of Contents

Elsevier B.V.

Publisher

Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 February 2020

Author Tags

Qualifiers

Research-article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

20
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 22 Oct 2024

Other Metrics

View Author Metrics

Citations

Cited By

Abd SAli MJaber MAbosinnee AKareem ZWahab AHassan RJassim M(2024)Secured finance handling for supply chain integrated business intelligence using blockchain application scenariosIntelligent Data Analysis10.3233/IDA-22744528:2(553-571)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.3233/IDA-227445
K. Soman VNatarajan V(2024)Crypto Deep Ring Topology Firewall in Sensitive Data Transmission and Retrieval in CloudIET Information Security10.1049/2024/88210862024Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1049/2024/8821086
Srivastava APandey DAgarwal A(2024)An Enhanced D Level Cut-Off Point-Quantum Secret Sharing Access Structure Scheme Based Efficient Monitoring Key Ciphertext Attributes with Encryption Access Control with Blockchain and Key Mechanism for Security in Cloud ComputingWireless Personal Communications: An International Journal10.1007/s11277-024-11021-6135:1(367-387)Online publication date: 1-Mar-2024
https://dl.acm.org/doi/10.1007/s11277-024-11021-6
Nandanwar HKatarya R(2024)TL-BILSTM IoT: transfer learning model for prediction of intrusion detection system in IoT environmentInternational Journal of Information Security10.1007/s10207-023-00787-823:2(1251-1277)Online publication date: 1-Apr-2024
https://dl.acm.org/doi/10.1007/s10207-023-00787-8
Suganya MSasipraba T(2023)Stochastic Gradient Descent long short-term memory based secure encryption algorithm for�cloud�data storage and retrieval in�cloud�computing�environmentJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-023-00442-612:1Online publication date: 8-May-2023
https://dl.acm.org/doi/10.1186/s13677-023-00442-6
Sharma PNamasudra SChilamkurti NKim BGonzalez Crespo R(2023)Blockchain-Based Privacy Preservation for IoT-Enabled Healthcare SystemACM Transactions on Sensor Networks10.1145/357792619:3(1-17)Online publication date: 2-Mar-2023
https://dl.acm.org/doi/10.1145/3577926
Ahmed FRehman MAhmad JKhan MBoulila WSrivastava GLin JBuchanan W(2023)A DNA Based Colour Image Encryption Scheme Using A Convolutional AutoencoderACM Transactions on Multimedia Computing, Communications, and Applications10.1145/357016519:3s(1-21)Online publication date: 25-Feb-2023
https://dl.acm.org/doi/10.1145/3570165
Neelakantan PYadav N(2023)An Optimized Load Balancing Strategy for an Enhancement of Cloud Computing EnvironmentWireless Personal Communications: An International Journal10.1007/s11277-023-10520-2131:3(1745-1765)Online publication date: 26-May-2023
https://dl.acm.org/doi/10.1007/s11277-023-10520-2
Chhabra SSingh A(2023)Secure and energy efficient dynamic hierarchical load balancing framework for cloud data centersMultimedia Tools and Applications10.1007/s11042-023-14809-z82:19(29843-29856)Online publication date: 16-Mar-2023
https://dl.acm.org/doi/10.1007/s11042-023-14809-z
Neelakantan P(2023)A secure framework for the cloud to protect the virtual machine from malicious eventsMultimedia Tools and Applications10.1007/s11042-023-14740-382:22(33811-33834)Online publication date: 8-Mar-2023
https://dl.acm.org/doi/10.1007/s11042-023-14740-3
Show More Cited By

View Options

View options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

Media

Figures

Other

Tables

View Issue’s Table of Contents