A Systematic Literature Review on Cryptographic Techniques for Cloud Computing Data security

Authors

  • MEMOONA KAUSAR
  • HUMAIRA ASHRAF International Islamic University Islamabad, Pakistan
  • MARIA ASHRAF

Keywords:

Cloud Computing, Mobiles, Cryptography, Data Security

Abstract

Now a days cloud computing has become the ideal way to transfer data files of different types (e.g., text, images, audio and video) to or from the device. The main issue of user's concerns about the cloud technology is data security. Insecure and unauthorized data transmission over private and public cloud creates perceived risks. Moreover, data loss is an important security threat in public clouds. This paper thoroughly overviews various existing cloud cryptographic schemes from 2016 to 2018 through Systematic Literature Review (SLR). Further, distinct cloud encryption schemes are analysed, gaps are identified and difficulties are explored with respect to data security. Finally, limitations of preceeding encryption methods are discussed and open challenges are recognized in the field of cloud data security.

References

J. Li et al., “Location-Sharing Systems with Enhanced Privacy in Mobile Online Social Networks,” IEEE Syst. J., vol. 11, no. 2, pp. 439–448, 2015.

M. Al-Hasan et al., “User-authentication approach for data security between smartphone and cloud,” in Ifost, 2013, vol. 2, pp. 2–6.

H. Wang et al., “Identity-based proxy-oriented data uploading and remote data integrity checking in public cloud,” IEEE Trans. Inf. Forensics Secur., vol. 11, no. 6, pp. 1165–1176, 2016.

M. Alizadeh et al., “Authentication in mobile cloud computing: A survey,” J. Netw. Comput. Appl., vol. 61, pp. 59–80, 2016.

J. Zhang et al., “A general framework to design secure cloud storage protocol using homomorphic encryption scheme,” Comput. Networks, vol. 129, pp. 37–50, 2017.

J. Kelsey et al., “Cryptanalytic attacks on pseudorandom number generators,” in International Workshop on Fast Software Encryption, 1998, pp. 168–188.

A. Alabdulatif et al., “Privacy-preserving anomaly detection in cloud with lightweight homomorphic encryption,” J. Comput. Syst. Sci., vol. 90, pp. 28–45, 2017.

J. H. Cheon et al., “Known-plaintext cryptanalysis of the Domingo-Ferrer algebraic privacy homomorphism scheme,” Inf. Process. Lett., vol. 97, no. 3, pp. 118–123, 2006.

Y. Ding and X. Li, “Policy Based on Homomorphic Encryption and Retrieval Scheme in Cloud Computing,” in 2017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC), 2017, vol. 1, pp. 568–571.

B. T. Rao and others, “A study on data storage security issues in cloud computing,” Procedia Comput. Sci., vol. 92, pp. 128–135, 2016.

X. Song and Y. Wang, “Homomorphic cloud computing scheme based on hybrid homomorphic encryption,” in 3rd IEEE International Conference on Computer and Communications (ICCC), 2017, pp. 2450–2453.

A. Al Hasib and A. A. M. M. Haque, “A comparative study of the performance and security issues of AES and RSA cryptography,” in 2008 Third International Conference on Convergence and Hybrid Information Technology, 2008, vol. 2, pp. 505–510.

Y. Liu et al., “Secure multi-label data classification in cloud by additionally homomorphic encryption,” Inf. Sci. (Ny)., vol. 468, pp. 89–102, 2018.

T. Bala and Y. Kumar, “Asymmetric Algorithms and Symmetric Algorithms: A Review,” Int. J. Comput. Appl., pp. 1–4, 2015.

V. R. Pancholi and B. P. Patel, “Enhancement of cloud computing security with secure data storage using AES,” Int. J. Innov. Res. Sci. Technol., vol. 2, no. 9, pp. 18–21, 2016.

R. Ratnadewi et al., “Implementation and performance analysis of AES-128 cryptography method in an NFC-based communication system,” World Trans Eng Technol Educ [Internet], vol. 15, no. 2, pp. 178–183, 2017.

M. Usman et al., “Cryptography-based secure data storage and sharing using HEVC and public clouds,” Inf. Sci. (Ny)., vol. 387, pp. 90–102, 2017.

Y. Li et al., “Intelligent cryptography approach for secure distributed big data storage in cloud computing,” Inf. Sci. (Ny)., vol. 387, pp. 103–115, 2017.

Z. Yu et al., “An efficient scheme for securing XOR network coding against pollution attacks,” in IEEE INFOCOM 2009, 2009, pp. 406–414.

L. Yang et al., “A remotely keyed file encryption scheme under mobile cloud computing,” J. Netw. Comput. Appl., vol. 106, pp. 90–99, 2018.

R. K. Deka et al., “DDoS Attacks: Tools, Mitigation Approaches, and Probable Impact on Private Cloud Environment,” arXiv Prepr. arXiv1710.08628, 2017.

F. Yundong et al., “Multi-authority attribute-based encryption access control scheme with hidden policy and constant length ciphertext for cloud storage,” in 2017 IEEE Second International Conference on Data Science in Cyberspace (DSC), 2017, pp. 205–212.

Z. Cao and L. Liu, “Remarks on the Cryptographic Primitive of Attribute-based Encryption,” arXiv Prepr. arXiv1408.4846, 2014.

X. Yang et al., “Traceable multi-authority attribute-based encryption scheme for cloud computing,” in 2017 14th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2017, pp. 263–267.

J. Li et al., “Key-policy attribute-based encryption against continual auxiliary input leakage,” Inf. Sci. (Ny)., vol. 470, pp. 175–188, 2019.

R. N. Lakshmi et al., “Analysis of attribute based encryption schemes,” Int. J. Comput. Sci. Eng., vol. 3, no. 3, pp. 1076–1081, 2015.

Y. Zhou et al., “A similarity-aware encrypted deduplication scheme with flexible access control in the cloud,” Futur. Gener. Comput. Syst., vol. 84, pp. 177–189, 2018.

H. lei Zhang, “„Three attacks in SSL protocol and their solutions “,” Internet https//www. cs. auckland. ac. nz/courses/compsci725s2c/archive/termpapers/725zhang. pdf [June, 2014].

Q. Huang et al., “Secure and efficient data collaboration with hierarchical attributebased encryption in cloud computing,” Futur. Gener. Comput. Syst., vol. 72, pp. 239–249, 2017.

M.-L. Akkar and C. Giraud, “An implementation of DES and AES, secure against some attacks,” in International Workshop on Cryptographic Hardware and Embedded Systems, 2001, pp. 309–318.

G. Wang et al., “IDCrypt: a multi-user searchable symmetric encryption scheme for cloud applications,” IEEE Access, vol. 6, pp. 2908–2921, 2017.

G. Wang et al., “Leakage models and inference attacks on searchable encryption for cyber-physical social systems,” IEEE Access, vol. 6, pp. 21828–21839, 2018.

S. Tahir et al., “A parallelized disjunctive query based searchable encryption scheme for big data,” Futur. Gener. Comput. Syst., 2018.

P. V. Mankar, “Key updating for leakage resiliency with application to Shannon security OTP and AES modes of operation,” in 2017 International Conference on IoT and Application (ICIOT), 2017, pp. 1–4.

S. Tahir et al., “Fuzzy keywords enabled ranked searchable encryption scheme for a public Cloud environment,” Comput. Commun., vol. 133, pp. 102–114, 2019.

G. Wang et al., “Leakage models and inference attacks on searchable encryption for cyber-physical social systems,” IEEE Access, vol. 6, pp. 21828–21839, 2018.

S. Tahir et al., “A new secure and lightweight searchable encryption scheme over encrypted cloud data,” IEEE Trans. Emerg. Top. Comput., 2017.

P. Van Liesdonk et al., “Computationally efficient searchable symmetric encryption,” in Workshop on Secure Data Management, 2010, pp. 87–100.

T. Kabir and M. A. Adnan, “A dynamic searchable encryption scheme for secure cloud server operation reserving multi-keyword ranked search,” in 4th Intern. Conf. Networking, Systems and Security (NSysS), 2017, pp.1–9.

M. Alduailij and M. Al-Duailej, “Performance evaluation of information retrieval models in bug localization on the method level,” in 2015 International Conference on Collaboration Technologies and Systems (CTS), 2015, pp. 305–313.

A. Chhabra and S. Arora, “an elliptic curve cryptography based encryption scheme for securing the cloud against eavesdropping attacks,” in 2017 IEEE 3rd Int. Conf. Collaboration and Internet Computing (CIC), 2017, pp. 243–246.

M. J. Wiener and R. J. Zuccherato, “Faster attacks on elliptic curve cryptosystems,” in Int. Workshop on Selected Areas in Cryptography, 1998, pp. 190–200.

L. Qiao et al., “Is MPEG encryption by using random list instead of zigzag order secure?,” in ISCE’97. Proceedings of 1997 IEEE International Symposium on Consumer Electronics (Cat. No. 97TH8348), 1997, pp. 226–229.

Q. Zheng et al., “A lightweight authenticated encryption scheme based on chaotic scml for railway cloud service,” IEEE Access, vol. 6, pp. 711–722, 2017.

Z. Yu et al., “An efficient scheme for securing XOR network coding against pollution attacks,” in IEEE INFOCOM 2009, 2009, pp. 406–414.

L. Zhou et al., “Lightweight IoT-based authentication scheme in cloud computing circumstance,” Futur. Gener. Comput. Syst., vol. 91, pp. 244–251, 2019.

Downloads

Published

2023-12-27

Issue

Section

Articles