i-manager Publications

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

Current Issue Vol. 11 Issue 1

An OptiAssign-PSO Based Optimisation for Multi-Objective Multi-Level Multi-Task Scheduling in Cloud Computing Environment
Advanced Analytics for Disease Tracking & Remote Intravenous Injection Monitoring
DevKraft - Fueling Collaboration in Coding Challenges
Comparative Security and Compliance Analysis of Serverless Computing Platforms: AWS Lambda, Azure Functions, and Google Cloud Functions
Blockchain Healthcare Management using Patients

Most Cited

Volume 7 Issue 2 July - December 2020

Research Paper

Smart Vision-Enabled Real-Time Monitoring for Fitness Freaks with a Feedback System

B. Muthu Senthil * , Uvan Shankar M., Tintu Mathew *, Saranya G. ****

*-**** Department of Computer Science and Engineering, SRM Valliammai Engineering College, Kattankulathur, Tamil Nadu, India.

Senthil, B. M., Shankar, M. U., Mathew, T., and Saranya, G. (2020). Smart Vision-Enabled Real-Time Monitoring for Fitness Freaks with a Feedback System. i-manager's Journal on Cloud Computing, 7(2), 1-7. https://doi.org/10.26634/jcc.7.2.18136

Abstract

In the contemporary world, lack of physical fitness is causing several diseases like heart problems, obesity, high blood pressure, diabetes, etc. Anxiety and depression are also major health concerns today. Regular exercise is mandatory for a healthy lifestyle as it combats health conditions and diseases. Proper physical training is essential to meet specific fitness goals and get real benefits. Fitness coaching facilities are expensive and there is a lack of trained professionals. Due to these reasons, people do the exercises themselves. They often get injured due to improper posture and do not get the expected results. This discourages people to do exercise regularly. Our model proposes a virtual physical trainer that can assist users during their exercise. It can provide real-time quality feedback to the users. During exercise, the user's video is recorded and given as input to the pose estimation and machine learning algorithms. After comparing the results with the original exercise models, corrections are sent to the user instantly as audio.

References

[1]. Bogo, F., Kanazawa, A., Lassner, C., Gehler, P., Romero, J., & Black, M. J. (2016, October). Keep it SMPL: Automatic estimation of 3D human pose and shape from a single image. In European Conference on Computer Vision (pp. 561-578). Cham: Springer. https://doi.org/10.1007/978-3-3 19-46454-1_34

[2]. Bourdev, L., & Malik, J. (2009, September). Poselets: Body part detectors trained using 3D human pose annotations. In 2009, IEEE 12^th International Conference on Computer Vision (pp. 1365-1372). IEEE. https://doi.org/ 10.1109/ICCV.2009.5459303

[3]. Buchanan, A., & Fitzgibbon, A. (2006, June). Interactive feature tracking using kd trees and dynamic programming. In 2006, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06) (Vol. 1, pp. 626-633). IEEE. https://doi.org/10. 1109/CVPR.2006.158

[4]. Cao, Z., Simon, T., Wei, S. E., & Sheikh, Y. (2017). Realtime multi-person 2D pose estimation using part affinity fields. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 7291-7299).

[5]. Duffner, S., & Garcia, C. (2013). PixelTrack: A fast adaptive algorithm for tracking non-rigid objects. In Proceedings of the IEEE International Conference on Computer Vision (pp. 2480-2487). https://doi.org/10.1109/ ICCV.2013.308

[6]. Han, S. H., Kim, H. G., & Choi, H. J. (2017, February). Rehabilitation posture correction using deep neural network. In 2017, IEEE International Conference on Big Data and Smart Computing (BigComp) (pp. 400-402). IEEE. https://doi.org/10.1109/BIGCOMP.2017.7881743

[7]. Kyaagba, S. (2018, September 7). Dynamic Time Warping with Time Series. Medium. Retrieved from https:// medium.com/@shachiakyaagba_41915/dynamic-timewarping- with-time-series-1f5c05fb8950

[8]. Lin, T. Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., ... & Zitnick, C. L. (2014, September). Microsoft COCO: Common objects in context. In European Conference on Computer Vision (pp. 740-755). Cham: Springer. https://doi.org/10.1007/978-3-319-10602-1_48

[9]. Müller, M. (2007). Dynamic time warping. In Information Retrieval for Music and Motion, (pp.69-84). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3- 540-74048-3_4

[10]. Nadeem, A., Jalal, A., & Kim, K. (2020, February). Human actions tracking and recognition based on body parts detection via Artificial neural network. In 2020, 3^rd International Conference on Advancements in Computational Sciences (ICACS) (pp. 1-6). IEEE. https://doi.org/10.1109/ ICACS47775.2020.9055951

[11]. Nagarkoti, A., Teotia, R., Mahale, A. K., & Das, P. K. (2019, July). Realtime indoor workout analysis using machine learning & computer vision. In 2019, 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 1440-1443). IEEE. https://doi.org/10.1109/EMBC.2019.8856547

[12]. Parley Labs (2020, January 6). Exploration: Pose Estimation with OpenPose and PoseNet — Parley Labs. Medium. Retrieved from https://parleylabs.medium.com/ exploration-pose-estimation-with-openpose-and-pose net-parley-labs-d7f21b541774

[13]. Toshev, A., & Szegedy, C. (2014). DeepPose: Human pose estimation via deep neural networks. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 1653-1660). https://doi.org/10.1109/ CVPR.2014.214

[14]. Zou, J., Li, B., Wang, L., Li, Y., Li, X., Lei, R., & Sun, S. (2018, November). Intelligent fitness trainer system based on human pose estimation. In International Conference on Signal and Information Processing, Networking and Computers (pp. 593-599). Springer, Singapore. https://doi. org/10.1007/978-981-13-7123-3_69

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Research Paper

Secure Files Storage in Cloud using Hybrid Cryptography

Debabrat Bharali* , Dipu Medhi , Wahengbam Shibananda Singh , Afrin Haque , Kuldeep Nath

*-***** Department of Computer Science and Engineering, Regional Institute of Science and Technology, Meghalaya, India.

Bharali, D., Medhi, D., Singh, W. S., Haque, A., and Nath, K. (2020). Secure Files Storage in Cloud using Hybrid Cryptography. i-manager's Journal on Cloud Computing, 7(2), 8-14. https://doi.org/10.26634/jcc.7.2.18291

Abstract

Today, cloud computing is used in various fields like industry, military, college, etc. for various services and storage of huge amounts of data. The data stored in the cloud can be accessed or retrieved by user request without direct access to the server computer. But the major concern regarding the storage of data online on the cloud is about the security of the file. Cryptography and steganography are the most commonly used security techniques. So, we have introduced a security that uses a combination of multiple cryptographic algorithms. In this proposed system, Data Encryption Standard (DES), Rivest Cipher 4 (RC4), and Advanced Encryption Standard (AES) algorithms are used to provide security to data. Key information will contain the information regarding the encrypted part of the file, the algorithm, and the key for the algorithm. During the Encryption phase, the file will be split into three parts and each part will be separately encrypted using AES, DES, and RC4 algorithms. Our methodology provides better security and assurance of user data by storing on the cloud server, using AES, DES, and RC4 algorithm.

References

[1]. Amazon Web Services. (n.d.). What is Cloud Storage? Amazon Web Services. Retrieved from https://aws.amazon. com/what-is-cloud-storage/

[2]. Barvekar, R., Behere, S., Pounikar, Y., & Gulhane, A. (2018). An approach to hybrid cryptography on cloud environment. International Journal of Advance Research and Innovative Ideas in Education, 4(2), 4626-4631.

[3]. Dhagat, R., & Joshi, P. (2016, March). New approach of user authentication using digital signature. In 2016, Symposium on Colossal Data Analysis and Networking (CDAN) (pp. 1-3). IEEE. https://doi.org/10.1109/CDAN.2016. 7570947

[4]. Dutta, T., & Pathak, A. (2016). Secure data sharing in cloud storage using key aggregation cryptography. International Journal of Computer Sciences and Engineering, 4(7), 20-23.

[5]. Gajendra, B. P., Singh, V. K., & Sujeet, M. (2016, April). Achieving cloud security using third party auditor, MD5 and identity-based encr yption. In 2016, International Conference on Computing, Communication and Automation (ICCCA) (pp. 1304-1309). IEEE. https://doi.org/ 10.1109/CCAA.2016.7813920

[6]. Habib, B., Cambou, B., Booher, D., & Philabaum, C. (2017, October). Public key exchange scheme that is addressable (PKA). In 2017, IEEE Conference on Communications and Network Security (CNS) (pp. 392- 393). IEEE. https://doi.org/10.1109/CNS.2017.8228693

[7]. Kaczmarek, J., & Wrobel, M. (2008, May). Modern approaches to file system integrity checking. In 2008, 1st International Conference on Information Technology (pp. 1-4). IEEE. https://doi.org/10.1109/INFTECH.2008.4621669

[8]. Khan, S. S., & Deshmukh, S. S. (2014). Security in cloud computing using cryptographic algorithms. International Journal of Computer Science and Mobile Computing, 3(9), 517-525.

[9]. Maitri, P. V., & Verma, A. (2016, March). Secure file storage in cloud computing using hybrid cryptography algorithm. In 2016, International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) (pp. 1635-1638). IEEE. https://doi.org/10.1109/ WiSPNET.2016.7566416

[10]. Malarvizhi, M., Sujana, J. A. J., & Revathi, T. (2014, March). Secure file sharing using cryptographic techniques in cloud. In 2014, International Conference on Green Computing Communication and Electrical Engineering (ICGCCEE) (pp. 1-6). IEEE. https://doi.org/10. 1109/ICGCCEE.2014.6921421

[11]. Patel, A., Patel, N., & Patel, D. H. (2016). Secure data sharing using cryptography in cloud environment. IOSR Journal of Computer Engineering (IOSR-JCE), 18(1), 58-62. https://doi.org/10.9790/0661-18145862

[12]. Sharma, S. (2019). Security in Cloud Computing using Hybrid Cryptographic Algorithms. (Undergraduate Project). Jaypee University of Information Technology, Himachal Pradesh, India. Retrieved from https://www.ir.juit. ac.in:8080/jspui/bitstream/123456789/22787/1/Security% 20in%20Cloud%20Computing%20using%20Hybrid%20C ryptographic%20Algorithms.pdf

[13]. Sharma, S., Singla, K., Rathee, G., & Saini, H. (2020). A hybrid cr yptographic technique for file storage mechanism over cloud. In First International Conference on Sustainable Technologies for Computational Intelligence (pp. 241-256). Springer, Singapore. https://doi. org/10.1007/978-981-15-0029-9_19

[14]. Stilson, B. (2018, April 20). Let’s Encrypt Files With Node. Medium. Retrieved from https://medium.com/@brandon stilson/lets-encrypt-files-with-node-85037bea8c0e

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Research Paper

Real Time Assistance for Alzheimer's Patients using IoT and Cloud Computing

B. Muthu Senthil * , Sabarish J. , Sonali S. *, Vidhyaa P. T. R. ****

*-**** Department of Computer Science and Engineering, SRM Valliammai Engineering College, Kattankulathur, Tamil Nadu, India.

Senthil, B. M., Sabarish, J., Sonali, S., and Vidhyaa, P. T. R. (2020). Real Time Assistance for Alzheimer's Patients using IoT and Cloud Computing. i-manager's Journal on Cloud Computing, 7(2), 15-19. https://doi.org/10.26634/jcc.7.2.18128

Abstract

The paper aims to develop an application that will enhance the life of the patients who are all affected by Alzheimer's disease. Possible ways to reduce the cost of treatment, provide adequate medical care and monitoring activities of these patients can be achieved using modern technology. IoT, cloud computing, etc., plays a vital role in healthcare and helps to improve the available functionalities by using sensors or actuators. The application consists of various modules such as GPS for movement tracking, regular monitoring of patient's health and alert system to send alert whenever abnormalities happen. The goal of this application is to focus on Alzheimer's patients to lead an independent life and to improve their lifestyle.

References

[1]. Akhund, T. M. N. U., Mahi, M. J. N., Tanvir, A. H., Mahmud, M., & Kaiser, M. S. (2018, December). ADEPTNESS: Alzheimer's disease patient management system using pervasive sensors-early prototype and preliminary results. In International Conference on Brain Informatics (pp. 413-422). Cham: Springer. https://doi.org/ 10.1007/978-3-030-05587-5_39

[2]. Krishnan, D. S. R., Gupta, S. C., & Choudhury, T. (2018, June). An IoT based patient health monitoring system. In 2018, International Conference on Advances in Computing and Communication Engineering (ICACCE) (pp. 01-07). IEEE. https://doi.org/10.1109/ICACCE.2018.84 41708

[3]. Malasinghe, L. P., Ramzan, N., & Dahal, K. (2019). Remote patient monitoring: A comprehensive study. Journal of Ambient Intelligence and Humanized Computing, 10(1), 57-76. https://doi.org/10.1007/s12652- 017-0598-x

[4]. Paiva, S., & Abreu, C. (2012). Low cost GPS tracking for the elderly and Alzheimer patients. Procedia Technology, 5, 793-802. https://doi.org/10.1016/j.protcy.2012.09.088

[5]. Saranya, S., & JesuJayarin, P. (2017, March). A survey for tracking and monitoring the Alzheimer patient. In 2017, Third International Conference on Science Technology Engineering & Management (ICONSTEM) (pp. 116-120). IEEE. https://doi.org/10.1109/ICONSTEM.2017.8261266

[6]. Shin, D., Shin, D., & Shin, D. (2014). Ubiquitous health management system with watch-type monitoring device for dementia patients. Journal of Applied Mathematics. https://doi.org/10.1155/2014/878741

[7]. Thakare, P., & Pawar, V. R. (2016, August). Alzheimer disease detection and tracking of Alzheimer patient. In 2016, International Conference on Inventive Computation Technologies (ICICT) (Vol. 1, pp. 1-4). IEEE. https://doi.org/ 10.1109/INVENTIVE.2016.7823286

[8]. Weenk, M., van Goor, H., Frietman, B., Engelen, L. J., van Laarhoven, C. J., Smit, J., Bredie, S. J., & van de Belt, T. H. (2017). Continuous monitoring of vital signs using wearable devices on the general ward: Pilot study. JMIR mHealth and uHealth, 5(7), 91. https://doi.org/10.2196/ mhealth.7208

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Review Paper

Cloud Computing Security and its Challenges

A. Yasar Arafath*

Department of Computer Applications, Anna University Regional Campus, Tirunelveli, Tamil Nadu, India.

Arafath, A. Y. (2020). Cloud Computing Security and its Challenges. i-manager's Journal on Cloud Computing, 7(2), 20-27. https://doi.org/10.26634/jcc.7.2.17965

Abstract

Cloud computing is an on-demand technology that offers shared services and solutions like software, platforms, storage, and information over the Internet. It is a computing environment for delivering services that include infrastructure, software, applications, and business functions. It is a virtual pool of computing services ensuring integrity, availability, authenticity, and confidentiality to cloud service providers and consumers. Many organizations face breach of privacy and confidentiality issues with cloud computing and therefore, researches in this area is active to solve those issues. This document provides a brief, comprehensive study of the data security and privacy protection issues associated with cloud computing. This paper discusses some of the current solutions and reports on future research on data security and privacy issues in the cloud.

References

[1]. Birje, M. N., Challagidad, P. S., Tapale, M. T., & Goudar, R. H. (2015). Security issues and countermeasures in cloud computing. International Journal of Applied Engineering Research, 10(86), 71-5.

[2]. Devi, B. T., Shitharth, S., & Jabbar, M. A. (2020, March). An appraisal over intrusion detection systems in cloud computing security attacks. In 2020, 2^nd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA) (pp. 722-727). IEEE. https://doi.org/ 10.1109/ICIMIA48430.2020.9074924

[3]. Garg, N., Bawa, S., & Kumar, N. (2020). An efficient data integrity auditing protocol for cloud computing. Future Generation Computer Systems, 109, 306-316. https://doi.org/10.1016/j.future.2020.03.032

[4]. Haeberlen, A. (2010). A case for the accountable cloud. ACM SIGOPS Operating Systems Review, 44(2), 52- 57.

[5]. Kaur, R., & Ghumman, N. S. (2017). A review on resource allocation mechanism in cloud enviornment. International Journal of Computers & Technology, 16(1), 7562- 7566.

[6]. Kumar, I. P., Sambangi, S., Somukoa, R., Nalluri, S., & Govinda, K. (2020). Server security in cloud computing using block-chaining technique. In Data Engineering and Communication Technology (pp. 913-920). Springer, Singapore. https://doi.org/10.1007/978-981-15-1097-7_77

[7]. Li, F., Cui, C., Wang, D., Liu, Z., Elmrabit, N., Wang, Y., & Zhou, H. (2020). Privacy-aware secure anonymous communication protocol in CPSS cloud computing. IEEE Access, 8, 62660-62669. https://doi.org/10.1109/ACCESS. 2020.2982961

[8]. Litchfield, A., & Shahzad, A. (2015, December). Virtualization Technology: Cross-VM Side Channel Attacks Make it Vulnerable. In 2015, Australasian Conference on Information Systems (ACIS).

[9]. Maheswari, K. U., Bhanu, S. M. S., & Nickolas, S. (2020, March). A survey on data integrity checking and enhancing security for cloud to fog computing. In 2020, 2^ndInternational Conference on Innovative Mechanisms for Industry Applications (ICIMIA) (pp. 121-127). IEEE. https:// doi.org/10.1109/ICIMIA48430.2020.9074890

[10]. Mohiuddin, I., & Almogren, A. (2020, April). Security challenges and strategies for the IoT in cloud computing. In 2020, 11^th International Conference on Information and Communication Systems (ICICS) (pp. 367-372). IEEE. https://doi.org/10.1109/ICICS49469.2020.239563

[11]. Mondal, A., & Goswami, R. T. (2021). Enhanced Honeypot cryptographic scheme and privacy preservation for an effective prediction in cloud security. Microprocessors and Microsystems, 81, 103719. https://doi.org/10.1016/j. micpro.2020.103719

[12]. Mouratidis, H., Shei, S., & Delaney, A. (2020). A security requirements modelling language for cloud computing environments. Software and Systems Modeling, 19(2), 271-295. https://doi.org/10.1007/s10270- 019-00747-8

[13]. Srivastava, P., & Khan, R. (2018). A review paper on cloud computing. International Journal of Advanced Research in Computer Science and Software Engineering, 8(6), 17-20. https://doi.org/10.23956/ijarcsse. v8i6.711

[14]. Sun, P. (2020). Security and privacy protection in cloud computing: Discussions and challenges. Journal of Network and Computer Applications, 160, 102642. https:// doi.org/10.1016/j.jnca.2020.102642

[15]. Tabrizchi, H., & Rafsanjani, M. K. (2020). A survey on security challenges in cloud computing: Issues, threats, and solutions. The Journal of Supercomputing, 76(12), 9493-9532. https://doi.org/10.1007/s11227-020-03213-1

[16]. 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.20 12.060912.00182

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Review Paper

The Concept for the E-Voting System using Blockchain Technology

Abirami J.* , Bharath Kumaar R. J. , Vidhya A. *, Gracy Swetha A. ****

*-**** Department of Computer Science and Engineering, SRM Valliammai Engineering College, Kattankulathur, Tamil Nadu, India.

Abirami, J., Kumaar, R. J. B., Vidhya, A., and Swetha, A. G. (2020). The Concept for the E-Voting System using Blockchain Technology. i-manager's Journal on Cloud Computing, 7(2), 28-33. https://doi.org/10.26634/jcc.7.2.18145

Abstract

Voting is a democratic process to make a decision from among the available choices. Paper ballot is the most popular voting system in practice, though electronic voting machines are also gaining popularity. Both systems have integrity issues and security threats by manipulation of votes, voting by an imposter, rigging the ballot boxes, etc. are possible. The aim of this paper is to propose a concept to implement blockchain technology for a digital voting system by improving the security. The paper analyzed the existing voting practices, and finds a solution to use blockchain technology as this technology is evolving with better security measures. It also explains the implementation of existing digital voting systems and the problems faced by the developers. The detail of the proposed design is presented along with the potential flaws and threats in the design. The design concept uses SHA256 and RSA algorithms will be implemented through blockchain, with scope for improvement in future implementations.

References

[1]. Cetinkaya, O., & Cetinkaya, D. (2007). Verification and validation issues in electronic voting. Electronic Journal of e-Government, 5(2), 117-126.

[2]. Hanifatunnisa, R., & Rahardjo, B. (2017, October). Blockchain based e-voting recording system design. In 2017, 11^th International Conference on Telecommunication Systems Services and Applications (TSSA) (pp. 1-6). IEEE. https://doi.org/10.1109/tssa.2017.8272896

[3]. Hao, F., & Ryan, P. Y. (Eds.). (2016). Real-world electronic voting: Design, analysis and deployment. Boca Raton, FL: CRC Press. 143-170.

[4]. Moloja, D., & Mpekoa, N. (2017, May). Securing mvoting using cloud intrusion detection and prevention system: A new dawn. In 2017, 1^st Africa Week Conference (IST-Africa) (pp. 1-8). IEEE. https://doi.org/10.23919/istafrica. 2017.8102318

[5]. Swamy, S. (2010, September 2). The problem with EVMs. The Hindu. Retrieved from https://www.thehindu. com/opinion/op-ed/The-problem-with-EVMs/article13369 610.ece

[6]. Wu, Y. (2017). An e-voting system based on blockchain and ring signature. (Postgraduate Dissertation). University of Birmingham, Birmingham, United Kingdom. Retrieved from https://dgalindo.es/mscprojects/yifan.pdf

[7]. Yang, H., Zheng, H., Zhang, J., Wu, Y., Lee, Y., & Ji, Y. (2017, August). Blockchain-based trusted authentication in cloud radio over fiber network for 5G. In 2017, 16^th International Conference on Optical Communications and Networks (ICOCN) (pp. 1-3). IEEE. https://doi.org/10. 1109/icocn.2017.8121598

[8]. Yavuz, E., Koç, A. K., Çabuk, U. C., & Dalkılıç, G. (2018, March). Towards secure e-voting using ethereum blockchain. In 2018, 6^th International Symposium on Digital Forensic and Security (ISDFS) (pp. 1-7). IEEE. https://doi. org/10.1109/isdfs.2018.8355340

[9]. Yi, H. (2019). Securing e-voting based on blockchain in P2P network. EURASIP Journal on Wireless Communications and Networking, 2019(1), 1-9. https://doi.org/10.1186/s13 638-019-1473-6

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

Current Issue Vol. 11 Issue 1

Most Read

Most Cited

Volume 7 Issue 2 July - December 2020

Smart Vision-Enabled Real-Time Monitoring for Fitness Freaks with a Feedback System

B. Muthu Senthil * , Uvan Shankar M.**, Tintu Mathew ***, Saranya G. ****

*-**** Department of Computer Science and Engineering, SRM Valliammai Engineering College, Kattankulathur, Tamil Nadu, India.

Senthil, B. M., Shankar, M. U., Mathew, T., and Saranya, G. (2020). Smart Vision-Enabled Real-Time Monitoring for Fitness Freaks with a Feedback System. i-manager's Journal on Cloud Computing, 7(2), 1-7. https://doi.org/10.26634/jcc.7.2.18136

Abstract

References

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Secure Files Storage in Cloud using Hybrid Cryptography

Debabrat Bharali* , Dipu Medhi **, Wahengbam Shibananda Singh ***, Afrin Haque ****, Kuldeep Nath *****

*-***** Department of Computer Science and Engineering, Regional Institute of Science and Technology, Meghalaya, India.

Bharali, D., Medhi, D., Singh, W. S., Haque, A., and Nath, K. (2020). Secure Files Storage in Cloud using Hybrid Cryptography. i-manager's Journal on Cloud Computing, 7(2), 8-14. https://doi.org/10.26634/jcc.7.2.18291

Abstract

References

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Real Time Assistance for Alzheimer's Patients using IoT and Cloud Computing

B. Muthu Senthil * , Sabarish J. **, Sonali S. ***, Vidhyaa P. T. R. ****

*-**** Department of Computer Science and Engineering, SRM Valliammai Engineering College, Kattankulathur, Tamil Nadu, India.

Senthil, B. M., Sabarish, J., Sonali, S., and Vidhyaa, P. T. R. (2020). Real Time Assistance for Alzheimer's Patients using IoT and Cloud Computing. i-manager's Journal on Cloud Computing, 7(2), 15-19. https://doi.org/10.26634/jcc.7.2.18128

Abstract

References

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Cloud Computing Security and its Challenges

A. Yasar Arafath*

Department of Computer Applications, Anna University Regional Campus, Tirunelveli, Tamil Nadu, India.

Arafath, A. Y. (2020). Cloud Computing Security and its Challenges. i-manager's Journal on Cloud Computing, 7(2), 20-27. https://doi.org/10.26634/jcc.7.2.17965

Abstract

References

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The Concept for the E-Voting System using Blockchain Technology

Abirami J.* , Bharath Kumaar R. J. **, Vidhya A. ***, Gracy Swetha A. ****

*-**** Department of Computer Science and Engineering, SRM Valliammai Engineering College, Kattankulathur, Tamil Nadu, India.

Abirami, J., Kumaar, R. J. B., Vidhya, A., and Swetha, A. G. (2020). The Concept for the E-Voting System using Blockchain Technology. i-manager's Journal on Cloud Computing, 7(2), 28-33. https://doi.org/10.26634/jcc.7.2.18145

Abstract

References

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B. Muthu Senthil * , Uvan Shankar M., Tintu Mathew *, Saranya G. ****

Debabrat Bharali* , Dipu Medhi , Wahengbam Shibananda Singh , Afrin Haque , Kuldeep Nath

B. Muthu Senthil * , Sabarish J. , Sonali S. *, Vidhyaa P. T. R. ****

Abirami J.* , Bharath Kumaar R. J. , Vidhya A. *, Gracy Swetha A. ****