iosr-jmca   Volume-1 ~ Issue-1 ~ May – June 2014

ABSTRACT: Spoofing attacks are a constant nag in the information world, so many methodologies have been invented to reduce on its effects but still there is a lot left to be desired. The kind of impact that this attacks have on Electronic Payment Systems is so detrimental to the economic world given that this systems are viewed as performance enhancers on payments. This study elaborates two methodologies a combination of StackPi and Encryption as spoofing defense methodologies. Billions of shillings are lost in this rollercoaster thus giving rise to a situation that deserves undivided attention and should be researched on. A profound argument on the methodologies that have been used in this mission to eradicate spoofing attacks, the limitations that they posses and other methodologies that have been brought in play to succeed them elicits an interesting he strategy of integrating or combining methodologies and the benefits that this strategy contributes to curbing spoofing attacks. With that knowledge underhand, it can be justified why the combination of Stack Pi and Encryption is a recommended solution against spoofing attacks.
Keywords: Electronic Payment Systems, Encryption, Security, Spoofing attacks, Stack Pi

[1] Bruce J, Summers, Payment Systems: Design Governance and Oversight (Central Banking Publication Ltd London, 2012).
[2] Hezlin Harris ,Balachander Krishnan Guru and Mohan V. Avvari, Evidence of Firms' Perceptions toward Electronic Payment Systems (EPS) in Malaysia. International Journal of Business and Information, 2011.
[3] Thomas P. Vartanian, Robert H. Ledig and David L. Ansell, "Role and Security of Payment Systems in an Electronic Age," IMF Institute Seminar on "Current Developments in Monetary and Financial Law" June 1, 2004
[4] P. Ferguson and D. Senie. Network Ingress Filtering: Defeating Denial of Service Attacks Which Employ IP Source Address Spoofing. RFC 2267, January 1998.
[5] Savage, S., Wetherall, D., Karlin, A., And Anderson, T. Practical network support for IP traceback. In Proceedings of the 2000 ACM SIGCOMM Conference August, 2000..

ABSTRACT: Traffic congestion has become a serious problem in the urban districts. This is mainly due to the rapid increase in the number and the use of vehicles. Travel time, travel safety, environmental quality, and life quality are all adversely affected by traffic congestion. Many traffic control systems have been developed and installed to alleviate the problem with limited success. Traffic demands are still high and increasing. The main focus of this report is to introduce a versatile fuzzy logic traffic flow model capable of making optimal traffic predictions. This model can be used to evaluate various traffic-light timing plans. More importantly, it provides a framework for implementing adaptive traffic signal controllers based on fuzzy logic technology. When implemented it solved the problem of waiting time, travel cost, accident, traffic congestion.

Key words: Traffic Congestion, fuzzy logic, Traffic Density, fuzzy controller, conventional controller

[1] Askerzade, I.N, Mustafa S.Mahmood "Design and Implementation of Intelligent Traffic Control by Using Fuzzy Logic", Talk in 1st International Fuzzy Systems Symposium October 1-2, Ankara, pp.52- 59, 2009.

[2] De Silva, C. W. intelligent control: fuzzy logic applications. Boca Raton, FL: CRC Press 1995.

[3] De Silva, C.W "The role of soft computing in Intelligent machines" Phil. Trans. R. Soc. Lond.361, 2003, 1749–1780

[4] Filippidis, A., Jain, L. C. and de Silva, C. W. Intelligent control techniques. In Intelligent adaptive control (ed. L. C. Jain & C. W de Silva). Boca Raton, FL: CRC Press 1999.

[5] Klir, st. Clair and Yuan, Fuzzy sets and Fuzzy Logic: Theory and Application, Prentice Hall Inc. 1997.

ABSTRACT:The purpose of this paper is to explore the factors that influence health-related consumer's acceptance to use the mobile technology as a tool for receiving healthcare services. Based on technology acceptance model (TAM), this paper provides a better understanding of antecedent of key acceptance constructs (e.g. intention to use, perceived usefulness, perceived ease of use). The proposed research model and hypotheses validated and tested with data collected from 302 Egyptians and Yemenis patients, health professionals, and general health users. The results are analyzed using a number of statistical techniques including partial least squares. The key findings obtaining from the results of the three surveyed stakeholders reveal that: (1) ninety percent are indented to use mobile health services. (2) While intention to use has greatly influenced by perceived usefulness, the impact of perceived ease of use varies. (3) Perceived value, perceived ease of use and portability factors are significantly affect perceived usefulness. (4) Self-efficacy and technology anxiety have a great impact on perceived ease of use. (5) The impact of the rest of the suggested factors ranged from medium, low, and insignificant. The research made an in-depth exploration and examination of the factors that influence user's intention to use mobile health services focusing on technological, cultural, organizational, political, and social aspects whereas most of the previous studies considered only one or two aspects together. The proposed model can be applied to assess mobile health user's acceptance, thereby help mobile health developers and providers to develop better mobile health applications that meet the needs of the potential users.
Keywords: Intention to use, Mobile health, portability, Resistance to change, Technology anxiety, Technology acceptance model

[1] A. Tariq, S. Akter, AN ASSESSMENT OF M-HEALTH IN DEVELOPING COUNTRIES USING TASK TECHNOLOGY FIT MODEL, Proceedings of the S eventeenth Americas Conference on Information Systems, Detroit, Michigan, 2011.
[2] C. Free, G. Phillips, L. Watson, L. Galli, L. Felix, P. Edwards, V. Patel, A. Haines, The Effectiveness of Mobile-Health Technologies to Improve Health Care Service Delivery Processes: A Systematic Review and Meta-Analysis., PLoS Med 10(1): e1001363. doi:10.1371/journal.pmed.1001363 (2013).
[3] X.-t. Guo, J.-q. Yuan, X.-f. Cao, X.-d. Chen, Understanding the acceptance of mobile health services: A service participants analysis, Management Science and Engineering (ICMSE), 2012 International Conference on, 2012, pp. 1868-1873.
[4] C. Yunzhi, h. Lu, L. Xinhui, Application of ubiquitous multimedia in Mobile Electronic Patient Record, Ubi-media Computing (U-Media), 2010 3rd IEEE International Conference on, IEEE, 2010, pp. 207-210.
[5] Patricia Mechae, Hima Batavia , Nadi Kaonga , Sarah Searle , Ada Kwan , Adina Goldberger , Lin Fu , James Ossman, Barriers and Gaps Affecting mHealth in Low and Middle Income Countries: A Policy White Paper, mHealth Alliance, Washington, D.C, 2010

ABSTRACT: E-learning represents an entirely new learning environment where information and communication systems, whether networked learning or not, serve as specific media to implement the learning process for students. In response to the fast development in Information and Communication Technologies (ICT), e-learning was therefore adopted by many universities and other higher institutions around the globe as a way of improving and supporting their teaching-learning activities and making education accessible for all society members.. Unfortunately, this rapidly changing technological resource along with the ever growing and mobile society has no doubt created many challenges for students, teachers, parents, administrators and policymakers particularly in developing countries. This actually made the paper to assess the e-learning structure in term of physical infrastructure and human development at the Federal Polytechnic, Ado Ekiti through data collected both by structured interview and questionnaires. The analyses of which the states of development are at low realm therefore, call for a robust synergy that will be able to meet and cope with the test of the time.

Keywords: Challenges, collaboration, E-learning, Infrastructure, Policymaker

[1]. Hedge, N. and Hayward, L. (2004). Redefining roles. University e-learning contributing to Life-long learning in a networked world. E-Learning, 1:128 – 145 http://www.nationmaster.com/country/ni/Internet
[2]. Cheung, W. & Huang, W Proposing a framework to assess Internet usage in university education: An empirical investigation from a student's perspective. British Journal of Educational Technology, 36(2) 2005, 237-254
[3]. Dawson,S. Online forum discussion interactions as an indicator of student community. .Australasian Journal of Educational Technology, 22 (4), (2006) 495-510.http://www.ascilite.org.au/ajet/ajet22/dawson.html5.
[4]. Johnson, E. M., Cowie, B., De Lange, W., Falloon, G., Hight, C. & Khoo, E. (2011). Adoption of innovative e-learning support for teaching: A multiple case study at the University of Waikato. Australasian Journal of Educational Technology, 27(3),(2011) 499-513.http://www.ascilite.org.au/ajet/ajet27/johnson.html
[5]. Shavinina, L.V. (2001). A new generation of educational multimedia: High intellectual and creative educational multimedia technologies. New York: Mary Ann Liberty Publishers

ABSTRACT: Mobile technology has now become the order of the day. Everyone seems to own one or more mobile devices. Everyone is so excited because this has made life easier for a lot of people. Though mobile technology has brought many benefits to people's lives, its application has some risks that come with it. This paper therefore looked at mobile computing application areas in Zimbabwe, the risks brought about by mobile computing application in Zimbabwe and how mobile computing application risks are mitigated in a developing country like Zimbabwe where the technology level seems to be behind. The study findings showed that mobile application areas in Zimbabwe include paying bills, social networking and playing games. Most Zimbabweans revealed that they do not know how to mitigate mobile computing application risks. The study finally recommended that mobile computing application risks should be taught in schools as well as in televisions and radios so that everyone is aware of them.

Keywords: application risks, mobile computing, mobile device,mobile technology

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