i-manager Publications

i-manager's Journal on Cloud Computing (JCC)

Current Issue Vol. 10 Issue 2

Most Cited

Volume 8 Issue 1 January - June 2021

Research Paper

Defending Against Side Channel Attacks in Cloud Resource Management

S. Velliangiri*

Department of Computer Science and Engineering, GMR Institute of Technology, Rajam, Andhra Pradesh, India.

Velliangiri, S. (2021). Defending Against Side Channel Attacks in Cloud Resource Management. i-manager's Journal on Cloud Computing, 8(1), 1-7. https://doi.org/10.26634/jcc.8.1.18454

Abstract

The cloud computing environment allows for the sharing of highly scalable hardware and software resources over the internet. Virtual Machines (VM) allow the cloud provider to share hardware resources with cloud clients. Co-resident VMs are Virtual Machines (VMs) that run on the same physical server. The Virtual Machines in Co-Residence are logically separated from one another. The harmful users' side channels compromise the logical isolation. Co-resident attacks are described as unauthorized users accessing sensitive information from Co-resident VMs. Malicious users gain access to critical information such as cryptographic keys, workloads, and web traffic rates. Co-location, co-residence, and coresidency threats are all terms used to describe a Co-resident attack. The Virtual Machine allocation policy is used to determine where the Virtual Machines should be placed on the physical server. The malicious user co-locates their Virtual Machine with the target Virtual Machine. The Virtual Machine deployment procedure takes into account security, workload balancing, and power consumption criteria. Secure metrics are defined to assess the VM allocation policy's security. The Balanced VM Allocation Policy is designed to distribute virtual machines among physical servers. With security metrics, the Previous Selected Server First (PSSF) policy is applied. With the workload balance parameter, the least VM allocation policy, most VM allocation policy, and random allocation policy are applied. Within the same environment, the data centres are connected to the Virtual Machines. With centralised and distributed scheduling algorithms, the attack-resistant Virtual Machine Management framework is built. Side channel attacks are prevented during live VM transfer. Multiple data centre management mechanisms have been added to the system. To allocate virtual machines on the physical server, the Distributed VM Placement (DVMP) policy is created.

References

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[2]. Bowers, K. D., Van Dijk, M., Juels, A., Oprea, A., & Rivest, R. L. (2011, October). How to tell if your cloud files are vulnerable to drive crashes. In Proceedings of the 18th ACM Conference on Computer and Communications Security (pp. 501-514). https://doi.org/10.1145/2046707.2046766

[3]. Butt, S., Lagar-Cavilla, H. A., Srivastava, A., & Ganapathy, V. (2012, October). Self-service cloud computing. In Proceedings of the 2012 ACM Conference on Computer and Communications Security (pp. 253- 264). https://doi.org/10.1145/2382196.2382226

[4]. Lee, E. K., Viswanathan, H., & Pompili, D. (2015). Proactive thermal-aware resource management in virtualized HPC cloud datacenters. IEEE Transactions on Cloud Computing, 5(2), 234-248. https://doi.org/10.1109/ TCC.2015.2474368

[5]. McCune, J. M., Li, Y., Qu, N., Zhou, Z., Datta, A., Gligor, V., & Perrig, A. (2010, May). TrustVisor: Efficient TCB reduction and attestation. In 2010, IEEE Symposium on Security and Privacy (pp. 143-158). IEEE. https://doi.org/10. 1109/SP.2010.17

[6]. Szefer, J., Keller, E., Lee, R. B., & Rexford, J. (2011, October). Eliminating the hypervisor attack surface for a more secure cloud. In Proceedings of the 18th ACM Conference on Computer and Communications Security (pp. 401-412). https://doi.org/10.1145/2046707.2046754

[7]. Varadarajan, V., Kooburat, T., Farley, B., Ristenpart, T., & Swift, M. M. (2012, October). Resource-freeing attacks: improve your cloud performance (at your neighbor's expense). In Proceedings of the 2012 ACM Conference on Computer and Communications Security (pp. 281-292). https://doi.org/10.1145/2382196.2382228

[8]. Wu, H., Ren, S., Garzoglio, G., Timm, S., Bernabeu, G., Chadwick, K., & Noh, S. Y. (2014). A reference model for virtual machine launching overhead. IEEE Transactions on Cloud Computing, 4(3), 250-264. https://doi.org/10.1109/ TCC.2014.2369439

[9]. Zhang, Y., Juels, A., Oprea, A., & Reiter, M. K. (2011, May). Homealone: Co-residency detection in the cloud via side-channel analysis. In 2011, IEEE symposium on security and privacy (pp. 313 - 328). IEEE . https://doi.org/10.1109/SP.2011.31

[10]. Zhang, Y., Juels, A., Reiter, M. K., & Ristenpart, T. (2012, October). Cross-VM side channels and their use to extract private keys. In Proceedings of the 2012 ACM Conference on Computer and Communications Security (pp. 305- 316). https://doi.org/10.1145/2382196.2382230

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Research Paper

Message Passing Using Cryptography and Steganography

Kaki Leela Prasad* , Muppidi Somasundara Rao, Chandra Sekhar Musinana*

, Department of Computer Science and Engineering, Maharaj Vijayaram Gajapathi Raj College of Engineering, Andhra Pradesh, India.

Department of Information Technology, Vignan's Institute of Information Technology, Visakhapatnam, Andhra Pradesh, India.

Prasad, K. L., Rao, M. S., and Musinana, C. S. (2021). Message Passing Using Cryptography and Steganography. i-manager's Journal on Cloud Computing, 8(1), 8-15. https://doi.org/10.26634/jcc.8.1.18455

Abstract

The main aim of this paper is to make sure that the message which is sent from the sender to the receiver side is not accessed by any intruder. To ensure that the message is reached safely, we are first using cryptography followed by steganography, that is first the message will be encrypted with the help of the proposed encryption algorithm. Later, the encrypted message is hidden in an image (QR code) and this message is sent to the receiver side for decryption. To the best of our knowledge, the techniques discussed in this paper have not been tried out anywhere, at least in the combination we as a team have implemented. The idea is simple: firstly, the message is encrypted using the algorithm we have developed. The encrypted text is of double the length of the original message, and is jumbled. This helps in fooling the intruder further. The encryption is based on a key generated from a password. Two levels of authentication exist: password, and the key generated based on the password, which will enhance the security of the message. Secondly, we hide the message in the QR code. QR code is generated using Python language. We have generated QR code in three different extensions, they are SVG, EPS and PNG. On the receiver's side, the text is extracted from the QR code and is decrypted. Usage of the QR code is comparatively more reliable, and the limit of the encrypted message hidden in the QR Code has been validated. The whole idea was implemented and tested in Linux environment.

References

[1]. Babu, K. R., Kumar, S. U., & Babu, A. V. (2010). A survey on cryptography and steganography methods for information security. International Journal of Computer Applications, 12(2), 13-17.

[2]. Bharti, P., & Soni, R. (2012). A new approach of data hiding in images using cryptography and steganography. International Journal of Computer Applications, 58(18), 1- 5.

[3]. Bloisi, D. D., & Iocchi, L. (2007, March). Image based steganography and cryptography. In Proceedings of the Second International Conference on Computer Vision Theory and Applications (IFP/IA), (pp. 127-134).

[4]. Channalli, S., & Jadhav, A. (2009). Steganography an art of hiding data. International Journal on Computer Science and Engineering, 1(3), 137-141.

[5]. Johnson, N. F., & Jajodia, S. (1998). Exploring steganography: Seeing the unseen. Computer, 31(2), 26- 34. https://doi.org/10.1109/MC.1998.4655281

[6]. Manoj, I. V. S. (2010). Cr yptography and steganography. International Journal of Computer Applications, 1(12), 63-68.

[7]. Prabhakaran, N., & Shanth, D. (2012). A new cryptic steganographic approach using video steganography. International Journal of Computer Applications, 49(7), 19- 23.

[8]. Rajyaguru, M. H. (2012). Crystography-combination of cryptography and steganography with rapidly changing keys. International Journal of Emerging Technology and Advanced Engineering, 2(10), 329-332.

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Research Paper

Information Fortification, Confidentiality, Accessibility and Reliability in Cloud Computing: Issues and Present Solution

R. Priyadharsini * , M. Ramya **

*-** Department of Computer Science and Engineering, Muthayammal Engineering College, Rasipuram, Namakkal, Tamilnadu, India.

Priyadharsini, R., and Ramya, M. (2021). Information Fortification, Confidentiality, Accessibility and Reliability in Cloud Computing: Issues and Present Solution. i-manager's Journal on Cloud Computing, 8(1), 16-22. https://doi.org/10.26634/jcc.8.1.18457

Abstract

The fact that customers of remote cloud storage services do not have complete physical control of their data makes privacy data search a difficult task. Delegating access to the stored data and completing a search operation to a trusted party is a basic method. However, this does not scale well in practice, as full data access might easily compromise user privacy. We need to ensure the privacy of search contents, i.e., what a user wishes to search and what the server sends back to the user, to securely implement an effective solution. Furthermore, we must ensure that the outsourced data is kept private and that the user is not burdened with an additional local search burden. We present an efficient file modified Key Policy Attribute-Based Encryption technique (KP-ABE) in this paper. A modified Key-policy attribute-based encryption Encryption method is used by data owners to encrypt their confidential data for data recipients. The files could share the ciphertext components linked to characteristics. As a result, both ciphertext storage and encryption time are reduced.

References

[1]. Babitha, M. P., & Babu, K. R. (2016, September). Secure cloud storage using AES encryption. In 2016, International Conference on Automatic Control and Dynamic Optimization Techniques (ICACDOT), (pp. 859-864). IEEE. https://doi.org/10.1109/ICACDOT.2016.7877709

[2]. Chachapara, K., & Bhadlawala, S. (2013, November). Secure sharing with cryptography in cloud computing. In 2013, Nirma University International Conference on Engineering (NUiCONE), (pp. 1-3). IEEE. https://doi.org/10. 1109/NUiCONE.2013.6780085

[3]. Chu, C. K., Chow, S. S., Tzeng, W. G., Zhou, J., & Deng, R. H. (2013). Key-aggregate cryptosystem for scalable data sharing in cloud storage. IEEE Transactions on Parallel and Distributed Systems, 25(2), 468-477. https://doi.org/10. 1109/TPDS.2013.112

[4]. Liu, J. K., Au, M. H., Huang, X., Lu, R., & Li, J. (2015). Finegrained two-factor access control for web-based cloud computing services. IEEE Transactions on Information Forensics and Security, 11(3), 484-497. https://doi.org/ 10.1109/TIFS.2015.2493983

[5]. Perez, J. M. M., Perez, G. M., & Gómez, A. F. S. (2016). SecRBAC: Secure data in the Clouds. IEEE Transactions on Services Computing, 10(5), 726-740. https://doi.org/10. 1109/TSC.2016.2553668

[6]. Prajapati, P., & Shah, P. (2020). A review on secure data deduplication: Cloud storage security issue. Journal of King Saud University-Computer and Information Sciences. (In Press). https://doi.org/10.1016/j.jksuci.2020.10.021

[7]. Puri, N. A., Karare, A. R., & Dharmik, R. C. (2014, May). Deployment of application on cloud and enhanced data security in cloud computing using ECC algorithm. In 2014, IEEE International Conference on Advanced Communications, Control and Computing Technologies, (pp. 1667-1671). IEEE. https://doi.org/10.1109/ICACCCT. 2014.7019392

[8]. Rao, Y. S. (2017). A secure and efficient ciphertextpolicy attribute-based signcryption for personal health records sharing in cloud computing. Future Generation Computer Systems, 67, 133-151. https://doi.org/10.1016/ j.future.2016.07.019

[9]. Tseng, Y. M., Tsai, T. T., Huang, S. S., & Huang, C. P. (2016). Identity-based encryption with cloud revocation authority and its applications. IEEE Transactions on Cloud Computing, 6(4), 1041-1053. https://doi.org/10.1109/TCC. 2016.2541138

[10]. Ubaidur Rahman, N. H., Balamurugan, C., & Mariappan, R. (2015). A novel DNA computing based encryption and decryption algorithm. Procedia Computer Science, 46, 463-475. https://doi.org/10.1016/j.procs. 2015.02.045

[11]. Xhafa, F., Wang, J., Chen, X., Liu, J. K., Li, J., & Krause, P. (2014). An efficient PHR service system supporting fuzzy keyword search and fine-grained access control. Soft Computing, 18(9), 1795-1802. https://doi.org/10.1007/ s00500-013-1202-8

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Review Paper

Survey on Security Issues of Data Storage in Cloud Computing

Mamatha R.*

Department of MCA, Dayananda Sagar College of Engineering, Bengaluru, Karnataka, India.

Mamatha, R. (2021). Survey on Security Issues of Data Storage in Cloud Computing. i-manager's Journal on Cloud Computing, 8(1), 23-34. https://doi.org/10.26634/jcc.8.1.18453

Abstract

Cloud computing has gained momentum and people are now migrating their data to the cloud as data is growing in size and requires access from a variety of devices. Therefore, Cloud-based data storage has become the standard. However, there are several concerns about data storage in the cloud, starting with virtual machines, which are used to share resources in the cloud, resulting in cloud storage issues. This study identifies cloud data storage concerns such as data storage, data backup, data privacy and integrity, data recoverability, and cloud data recycling. Finally, we provide possible cloud-based solutions to the above-mentioned issues.

References

[1]. Ali, M., Khan, S. U., & Vasilakos, A. V. (2015). Security in cloud computing: Opportunities and challenges. Information Sciences, 305, 357-383. https://doi.org/10. 1016/j.ins.2015.01.025

[2]. CSA. (2011). Security guidelines for critical areas of focus in cloud computing v3.0. Retrieved from https://downloads.cloudsecurityalliance.org/assets/resear ch/security-guidance/csaguide.v3.0.pdf

[3]. Erl, T., Puttini, R., & Mahmood, Z. (2013). Cloud Computing: Concepts, Technology, & Architecture. Prentice Hall.

[4]. Fu, Y., & Lin, Z. (2013). Exterior: Using a dual-vm based external shell for guest-os introspection, configuration, and recovery. ACM Sigplan Notices, 48(7), 97-110. https://doi. org/10.1145/2517326.2451534

[5]. Islam, S., Ouedraogo, M., Kalloniatis, C., Mouratidis, H., & Gritzalis, S. (2015). Assurance of security and privacy requirements for cloud deployment models. IEEE Transactions on Cloud Computing, 6(2), 387-400. https://doi.org/10.1109/TCC.2015.2511719

[6]. Mollah, M. B., Azad, M. A. K., & Vasilakos, A. (2017). Security and privacy challenges in mobile cloud computing: Survey and way ahead. Journal of Network and Computer Applications, 84, 38-54. https://doi.org/10. 1016/j.jnca.2017.02.001

[7]. Pearce, M., Zeadally, S., & Hunt, R. (2013). Virtualization: Issues, security threats, and solutions. ACM Computing Surveys (CSUR), 45(2), 1-39. https://doi.org/10. 1145/2431211.2431216

[8]. Rong, C., Nguyen, S. T., & Jaatun, M. G. (2013). Beyond lightning: A survey on security challenges in cloud computing. Computers & Electrical Engineering, 39(1), 47- 54. https://doi.org/10.1016/j.compeleceng.2012.04.015

[9]. Takabi, H., Joshi, J. B., & Ahn, G. J. (2010). Security and privacy challenges in cloud computing environments. IEEE Security & Privacy, 8(6), 24-31. https://doi.org/10.1109/MSP. 2010.186

[10]. Tang, Y., Lee, P. P., Lui, J. C., & Perlman, R. (2012). Secure overlay cloud storage with access control and assured deletion. IEEE Transactions on Dependable and Secure Computing, 9(6), 903-916.

[11]. Vaquero, L. M., Rodero-Merino, L., & Morán, D. (2011). Locking the sky: a survey on IaaS cloud security. Computing, 91(1), 93-118. https://doi.org/10.1007/ s00607-010-0140-x

[12]. Wei, L., Zhu, H., Cao, Z., Dong, X., Jia, W., Chen, Y., & Vasilakos, A. V. (2014). Security and privacy for storage and computation in cloud computing. Information sciences, 258, 371-386. https://doi.org/10.1016/j.ins.2013.04.028

[13]. Xiao, Z., & Xiao, Y. (2012). Security and privacy in cloud computing. IEEE Communications Surveys & Tutorials, 15(2), 843-859. https://doi.org/10.1109/SURV. 2012.060912.00182

[14]. Zhou, M., Zhang, R., Xie, W., Qian, W., & Zhou, A. (2010, November). Security and privacy in cloud computing: A survey. In 2010, 6th International Conference on Semantics, Knowledge and Grids (pp. 105-112). IEEE. https://doi.org/10.1109/SKG.2010.19

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Review Paper

Big Data Engineering

Santiya P.* , Dhanakoti V. , Muthusenthil B.*

*-*** Department of Computer Science and Engineering, SRM Valliammai Engineering College, Chennai, India.

Santiya, P., Dhanakoti, V., and Muthusenthil, B. (2021). Big Data Engineering. i-manager's Journal on Cloud Computing, 8(1), 35-43. https://doi.org/10.26634/jcc.8.1.18456

Abstract

In recent years, Big Data applications have grown increasingly significant. Businesses are now aware of the massive amounts of data they collect daily. They also believe that when Big Data is analysed, it can yield more useful information. It is tough to analyse Big Data because of its vast volume and unstructured format. Much work has been done to address the complicated Big Data concerns. As a result, a variety of distribution systems and technologies have emerged. This paper offers a review of recent Big Data technologies that have been developed in recent times. Its goal is to assist users in selecting and implementing the optimum combination of Big Data technologies based on their technology demands and specific application requirements. It not only gives a broad overview of major Big Data technologies, but it also compares them across several system layers, such as the Data Storage Layer, Data Processing Layer, Data Querying Layer, Data Access Layer, and Management Layer. It categorises and examines the essential features, benefits, limitations, and applications of various technologies.

References

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[2]. Bhattacharya, S. (2021, August 11). Top Big Data Trends for Data Scientists. Analytics Insight. Retrieved from https://www.analyticsinsight.net/top-big-data-trends-fordata- scientists/

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i-manager's Journal on Cloud Computing (JCC)

Current Issue Vol. 10 Issue 2

Most Read

Most Cited

Volume 8 Issue 1 January - June 2021

Defending Against Side Channel Attacks in Cloud Resource Management

S. Velliangiri*

Department of Computer Science and Engineering, GMR Institute of Technology, Rajam, Andhra Pradesh, India.

Velliangiri, S. (2021). Defending Against Side Channel Attacks in Cloud Resource Management. i-manager's Journal on Cloud Computing, 8(1), 1-7. https://doi.org/10.26634/jcc.8.1.18454

Abstract

References

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Message Passing Using Cryptography and Steganography

Kaki Leela Prasad* , Muppidi Somasundara Rao**, Chandra Sekhar Musinana***

*,*** Department of Computer Science and Engineering, Maharaj Vijayaram Gajapathi Raj College of Engineering, Andhra Pradesh, India. ** Department of Information Technology, Vignan's Institute of Information Technology, Visakhapatnam, Andhra Pradesh, India.

Prasad, K. L., Rao, M. S., and Musinana, C. S. (2021). Message Passing Using Cryptography and Steganography. i-manager's Journal on Cloud Computing, 8(1), 8-15. https://doi.org/10.26634/jcc.8.1.18455

Abstract

References

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Information Fortification, Confidentiality, Accessibility and Reliability in Cloud Computing: Issues and Present Solution

R. Priyadharsini * , M. Ramya **

*-** Department of Computer Science and Engineering, Muthayammal Engineering College, Rasipuram, Namakkal, Tamilnadu, India.

Priyadharsini, R., and Ramya, M. (2021). Information Fortification, Confidentiality, Accessibility and Reliability in Cloud Computing: Issues and Present Solution. i-manager's Journal on Cloud Computing, 8(1), 16-22. https://doi.org/10.26634/jcc.8.1.18457

Abstract

References

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Survey on Security Issues of Data Storage in Cloud Computing

Mamatha R.*

Department of MCA, Dayananda Sagar College of Engineering, Bengaluru, Karnataka, India.

Mamatha, R. (2021). Survey on Security Issues of Data Storage in Cloud Computing. i-manager's Journal on Cloud Computing, 8(1), 23-34. https://doi.org/10.26634/jcc.8.1.18453

Abstract

References

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Big Data Engineering

Santiya P.* , Dhanakoti V. **, Muthusenthil B.***

*-*** Department of Computer Science and Engineering, SRM Valliammai Engineering College, Chennai, India.

Santiya, P., Dhanakoti, V., and Muthusenthil, B. (2021). Big Data Engineering. i-manager's Journal on Cloud Computing, 8(1), 35-43. https://doi.org/10.26634/jcc.8.1.18456

Abstract

References

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Kaki Leela Prasad* , Muppidi Somasundara Rao, Chandra Sekhar Musinana*

, Department of Computer Science and Engineering, Maharaj Vijayaram Gajapathi Raj College of Engineering, Andhra Pradesh, India.

Department of Information Technology, Vignan's Institute of Information Technology, Visakhapatnam, Andhra Pradesh, India.

Santiya P.* , Dhanakoti V. , Muthusenthil B.*