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Oza, Swati
- Securing E-Learning Cloud With Fingerprint Authentication
Abstract Views :107 |
PDF Views:5
Authors
Affiliations
1 School of Computational Sciences, IN
2 S. R. T. M. University, Nanded, Maharashtra, IN
1 School of Computational Sciences, IN
2 S. R. T. M. University, Nanded, Maharashtra, IN
Source
KHOJ: Journal of Indian Management Research and Practices, No 2016 Spl, Pagination: 211-219Abstract
The current era is known as era of technology. Technology helps us to enhance the productivity and creativity of the individual or any organization. Cloud computing plays a very vital role in enhancing the productivity of any organization or an individual. The distance education providing universities in India are facing several problems for delivering study material to various geographical regions. This problem can be resolved using elearning with cloud computing. This paper focuses on security aspects of e-learning cloud computing in which access is given only authorized users. Biometrics recognition can be used for user authentication. The proposed model is named as E-LCFA (E-learning Cloud with Finger print Authentication).Keywords
Cloud Computing, Distance Education, Biometrics, E-LCFA.References
- Rekha Rani, Dr. Sawtantar Singh ,”Role of Cloud Computing in Higher Education”, IJCST Vol. 6, Issue 1 Spl- 1 Jan-March 2015 ISSN : 0976-8491 (Online)
- Sudhir Kumar Sharma, Nidhi Goyal, Monisha Singh, “Distance Education Technologies: Using E-learning System and Cloud Computing”, (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 (2), 2014, 1451-1454 ISSN: 0975-9646
- Arshad Ali, Amit Bajpeye, Amit Kumar Srivastava, “E-learning in Distance Education using Cloud Computing”, International Journal of Computer Techniques -– Volume 2 Issue 3, May – June 2015 ISSN: 2394-2231
- Tripathi, A.; Mishra, A. Cloud computing security considerations. In Proceedings of the 2011 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), Xi’an, China, 14–16 September 2011; pp. 1– 5.
- Mahesh S .Darak, Dr. V. P. Pawar, Supriya Lohiya, Sapna Darak” Cloud Computing & its Applications in various sectors”, Asian Journal of Management Sciences 02 (03 (Special Issue)); 2014; 0711.
- https://en.wikipedia.org/wiki/Distance_education
- Himabindu Vallabhu, R V Satyanarayana "Biometric Authentication as a Service on Cloud: Novel solution" International Journal of Soft Computing and Engineering (IJSCE) ISSN: 2231-2307, Volume-2, Issue-4, September 2012
- Fazal Noor, Majed Alhaisoni, Antonio Liotta, “Fingerprint Verification using Cloud Services with Message Passing Interface over PC Clusters”, AP2PS 2012 : The Fourth International Conference on Advances in P2P Systems ISBN: 978-1-61208-238-7
- Mr. Mahesh Darak , Dr. V. P. Pawar, Mr. Umesh Malpani, “Cloud Computing Based e-learning Model (CCBEM) for Distance Education through Open University’s” International Journal of Advanced Research in Computer Science and Software Engineering 4(5), May - 2014, pp. 1228-1231 ISSN: 2277 128X
- Himabindu Vallabhu, R V Satyanarayana "Biometric Authentication as a Service on Cloud: Novel solution" International Journal of Soft Computing and Engineering (IJSCE) ISSN: 2231-2307, Volume-2, Issue-4, September 2012
- Bhargava R, Pramoda R & Sudhakara Reddy M, ” Dynamic RBAC Model for Cloud Computing”, NCETCSE-2015, ISRASE explore Digital Library.
- Kalyani Mali, Samayita Bhattacharya,“ Fingerprint Database Handling Using Cloud Computing With Added Data Mining and Soft Computing Features”,IJETAE, Volume 3, Issue 2, February 2013.
- http://biometrics.pbworks.com/w/page/14811349/Advantages%20and%20disadvantages %20of%20technologies as on date 20/09/2015
- Exploratory Study of Behavioral Finance with Special Reference to Academicians of Private University in Indore City
Abstract Views :352 |
PDF Views:2
Authors
Affiliations
1 Shri Vaishnav School of Management, SVVV, Indore 453111, Madhya Pradesh, IN
1 Shri Vaishnav School of Management, SVVV, Indore 453111, Madhya Pradesh, IN
Source
Artha Vijnana: Journal of The Gokhale Institute of Politics and Economics, Vol 62, No 4 (2020), Pagination: 403-412Abstract
Behavioral finance deals with the orientation of investor’s psychology while making financial decisions. It tries to understand how investors forget fundamentals and make investment decisions based on emotional appeal. While the traditional theory of finance states that investors are rational and follow sound logic while making investment decisions, behavioral finance states that their financial decisions are swayed by emotional appeals and past experiences. The present study explored investment orientation and behavior of individual investors. Broadly, four dimensions of individual investment behavior were found: Safe and Fixed Return Orientation, Long Term and Rational Orientation, Reliable and Family-Orientation and High-Risk Orientation. Findings have been analyzed based on gender and income. Gender-wise significant differences revealed in investment orientation towards familyoriented and reliability seeking investment behavior. Income-wise significant differences have been observed in the risk-taking behavior of individual investors.References
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- Chandra, A. and R. Kumar (2012), Factors Influencing Indian Individual Investor Behaviour, Survey Evidence, Decision, 39(3): 24-31.
- Goetzmann, W.N. and P. Nadev (1997), Cognitive Dissonance and Mutual Fund Investors, The Journal of Financial Research, 20(2):145-158.
- Graham, J.R., C.R. Harvey and H. Huang (2009), Investor Competence, Trading Frequency and Home Bias, Management Science, 55(7): 1094-1102.
- Isidore, R. and P. Christie (2018), A Behavioral Finance Perspective of the Stock Market Nomalies, International Journal of Research in Management, Economics and Commerce, 8(4): 5-9.
- Kapoor, S. and J.M. Prosad (2017), Behavioural Finance: A Review, Procedia Computer Science, 122(2017): 50–54.
- Muradoglu, G. and N. Harvey (2012), Behavioural Finance: The Role of Psychological Factors in Financial Decisions, Review of Behavioral Finance, 4(2): 68-80.
- Otto, P. (2007), Cognitive Finance: Behavioral Strategies of Spending, Saving, and Investing, Research Dissertation, Department of Psychology, University College London, UMI Number: U592281.
- Shanmugham, R. and K. Ramya (2012), Impact of Social Factors on Individual Investors’ Trading Behaviour, Procedia Economics and Finance,2(2012): 237–246.
- Statman, M. (2014), Behavioral Finance: Finance with Normal People, Borsa Istanbul Review, 14(2): 65-73.
- Strömbäck, E. (2017), Does Self-control Predict Financial Behavior and Financial Well-Being?, Journal of Behavioral and Experimental Finance, 14(2017): 30–38.