Benefits of Mobile Cloud Computing in Education
Cloud computing is associated with allowing the users to share the information without investment of too much money in the resources which are under use. It is possible for one to access the data in a remote way which are present in the servers. Mobile Cloud computing is considered to be a filed which involves the usage of the mobile devices (Rittinghouse & Ransome, 2016). There exists move to make use of mobile devices which are having the capability of delivering a cloud computing services in an ad hoc configuration which would not be associated with the usage of data centers of large size. This turns out to be very helpful in the certain situations which might include the locations without an internet provider. The main aim of this project is to demonstrate the application of an educational use scenario where certain security measures are to be identified which are necessary for the purpose of delivering contents related to education in a mobile cloud computing environment.
Mobile computing acts as a very useful cloud computing environment where there exists no internet service providers. In order to make the cloud much more practical it is very necessary to include the security measures. K12 along with the higher education requires so essential security measures so as to have a guaranteed delivery, availability of the information and confidentiality of each and every participants taking part in the virtual educational environment (Zhang et al., 2017). Due to this reason it is very necessary to identify the hardware along with the software technology which are necessary in order to assure the fact that authentic educational contents along with the privacy of the users personal data are maintained.
The collection of the data has been done by from the various literary work that has been done in the past. After reviewing of the literary work on this particular topic certain crucial facts had been noted which helped a lot in understanding the significance of this proposed research work. Below are the literary works which have been reviewed in order to complete the process of collecting the data:
Fuller, (2012) at Norflok State University in his master’s thesis stated that two devices belonging to android platform were used for the purpose of creating a mobile cloud web server and storage environment. This was doen for the purpose of demonstrating the feasibility of the mobile cloud computing environment. This initially proved the fact that it is possible to use the mobile devices for the purpose of setting up a mobile cloud server (Meng, 2017).
Huerta-Canepa and Lee, (2010) was associated with developing a mobile cloud network configuration which consisted of a user that is placed in a fixed location. In case when there is a requirement of computing task but there existed insufficient amount of resources then the system would be listened for an ad hoc node present in the current vicinity. However it was seen that the research project did not required the user to be present in a fixed location and it also demonstrated the fact that there exists various advantages of being located in various places while using the mobile computing environment (Jiang, Ma & Wei, 2016).
Security Measures for Mobile Cloud Computing in Education
There exists some great benefits of education in the mobile computing environment. For the purpose of measuring the scalability it is necessary to deploy the mobile cloud computing and scaling is to be done so as to make sure that the demands of the users are meet which are totally unpredictable because of the flexible nature of the resource provisioning (Hashem et al., 2015). It is possible for the service providers to expand and add an application or a service not having or having a little amount of constraint on the message collected from the resource. One of the example of is the involvement of the mobile cloud computing in the learning process which is known as “Cornucopia” which has been put into action for the researchers of the undergraduate students belonging to the field of genetics and another example is the “Plantations Pathfinder” Which is specially designed for the purpose of supplying information and also for the purpose of providing a collaborative space for the persons visiting the gardens.
Development of another mobile cloud computing education model was also done in which the tutors are capable of putting tutorials for the students in the clouds so as to help out the students. This similar concept can also be utilized in projects of this kind where testing of the security is going to be done in the cloud deployed for the people who are associated with the usage of cloud from outside.
Methods and timeline:
The project would be requiring certain tools which includes an Android Smartphone and an Android tablet. The software that is to be used along with this is the Serverman and the WebDAV. The main reason for choosing this two software is because of the fact that this software are easily available in the android market along with being available for the other mobile devices as well.
Replication of the mobile computing environment would be done by installation of the Serversman on the phone that is to be used by the user and the WebDEV is to be installed on the tablet of the user which is to be followed by linking of the latter program with the former one. Once the initial setup is completed the security measures are to be configured in the mobile computing environment. Followed by this deploying of a prototype educational tool is to be done in the mobile cloud computing environment. Lastly the various actions are to be tested on the two mobile cloud computing devices which would be documented.
The possible identified risks from the perspective of the cloud customers and the cloud providers have been listed below:
|
Sl. No. |
Risk Type |
Risk description |
Mitigation technique |
|
1. |
Risks related to security and Privacy |
Risk faced by Cloud providers and cloud customers: Risks related to the availability of the data in the cloud, risks related to the security and privacy of the data present in the cloud, risk related to multitenancy and risks of deletion of data present in the clouds. |
Certain security steps are to be taken so as to prevent any kind of out age and attacks. Using of the APIs in order to implement a robust access Control, by making use of the encryption so as to provide protection to the data traffic. • Analysis of the data is to be done so as to protect it. Effective mechanisms are to be provided for the purpose of generating the along with the storage, and Destruction of data. |
|
2. |
Technical issues |
Risks related to the Lack of standardized technology in the Mobile cloud computing system Risks related to the compatibility issue between cloud and devices being used. |
It is the responsibility of the customer to ensure the fact that if the provider is associated with the usage of the standardized technology which is to be mentioned in the initial contract. Hybrid cloud can solve issues related to compatibility |
|
3. |
Organizational issues |
Risks related to the planning of the Resources and Change Management (CC) Risks related security management (CC |
This risk is to be eliminated by involving the stakeholders in cloud adoption process. Reevaluation of the existing security standards is to be done before the adaptation of the cloud computing environment is done. |
|
4. |
Risks related to physical security |
Risks related to the physical security of a cloud provider’s data centers which consists of the of servers, storage and Network devices. (CP) |
This is to be mitigated by making sure that the Cloud providers are having certain policies and procedures so as to Prevent physical security breaches and this to be done by including the physical location security for example the alarms, CCTV cameras and many more. |
Table 1: Selected risks and factors for illustration
Other type of risks related to the deployment project and the rate if impact have been provided below:
|
1 |
Budget related escalation |
VH |
H |
Manager |
Mainly occurs due to improper planning |
|
2 |
Unable to complete the project within time |
L |
L |
Manager |
Mainly occurs due to improper planning |
|
3 |
Issues in the network |
H |
L |
IT team |
Slow network connectivity |
|
4 |
Faults in the server |
H |
V L |
IT team |
Improper planning without contingency plan |
|
5 |
Improper management |
L |
L |
Manager and management team |
Lack of experience of the manager |
|
6 |
Lack in resources |
L |
V L |
Resource Manager |
Insufficient experience of the managers |
|
Task Mode |
WBS |
Task Name |
Duration |
Start |
Finish |
|
Auto Scheduled |
1.1 |
REU Logistics |
0.3 wks |
Mon 9/3/18 |
Tue 9/4/18 |
|
Auto Scheduled |
1.2 |
Acquire Project Description |
0.4 wks |
Tue 9/4/18 |
Thu 9/6/18 |
|
Auto Scheduled |
1.3 |
Background Searching |
0.3 wks |
Thu 9/6/18 |
Fri 9/7/18 |
|
Auto Scheduled |
2.1 |
Background Reading |
0.5 wks |
Mon 9/10/18 |
Wed 9/12/18 |
|
Auto Scheduled |
2.2 |
Education Point |
0.5 wks |
Wed 9/12/18 |
Fri 9/14/18 |
|
Auto Scheduled |
3.1 |
Acquire Mobile Devices |
0.2 wks |
Mon 9/17/18 |
Mon 9/17/18 |
|
Auto Scheduled |
3.2 |
Rebuild Mobile Client & Server |
0.4 wks |
Tue 9/18/18 |
Wed 9/19/18 |
|
Auto Scheduled |
3.3 |
Create Website |
0.4 wks |
Thu 9/20/18 |
Fri 9/21/18 |
|
Auto Scheduled |
4.1 |
Add Educational Content to Mobile Cloud |
0.5 wks |
Mon 9/24/18 |
Wed 9/26/18 |
|
Auto Scheduled |
4.2 |
Testing |
0.3 wks |
Wed 9/26/18 |
Thu 9/27/18 |
|
Auto Scheduled |
4.3 |
Gather Results |
0.2 wks |
Fri 9/28/18 |
Fri 9/28/18 |
|
Auto Scheduled |
5.1 |
Add Security to mobile cloud |
0.4 wks |
Mon 10/1/18 |
Tue 10/2/18 |
|
Auto Scheduled |
5.2 |
Testing |
0.3 wks |
Wed 10/3/18 |
Thu 10/4/18 |
|
Auto Scheduled |
5.3 |
Gather Results |
0.3 wks |
Thu 10/4/18 |
Fri 10/5/18 |
|
Auto Scheduled |
6.1 |
Experiment with Mobile Cloud Implementation |
0.5 wks |
Mon 10/8/18 |
Wed 10/10/18 |
|
Auto Scheduled |
6.2 |
Produce Tables and Graphs |
0.5 wks |
Wed 10/10/18 |
Fri 10/12/18 |
|
Auto Scheduled |
7 |
Week 7: Data Analysis |
1 wk |
Mon 10/15/18 |
Fri 10/19/18 |
|
Auto Scheduled |
8 |
Week 8: Final Paper |
1 wk |
Mon 10/22/18 |
Fri 10/26/18 |
|
Auto Scheduled |
9 |
Week 9: Complete Website |
1 wk |
Mon 10/29/18 |
Fri 11/2/18 |
|
Auto Scheduled |
10 |
Week 10: Final works on Website |
1 wk |
Mon 11/5/18 |
Fri 11/9/18 |
Conclusion:
Research on various kind of security issues are to done regarding the mobile cloud computing for the educational use. The results after the testing are to be analyzed so as to have a better cloud computing environment with various security measures involved in it. Various kind of risks has been identified and analyzed. The entire schedule of deploying this project has been done. Certain mitigation techniques are to be identified in order to mitigate the risks as well.
References:
Ezekwenna, T. (2013). University of Maryland, Baltimore County Computer Science July 9, 2013 Mentor: Dr. Felicia Doswell.
Fernando, N., Loke, S. W., & Rahayu, W. (2012, December). Honeybee: A programming framework for mobile crowd computing. In International Conference on Mobile and Ubiquitous Systems: Computing, Networking, and Services(pp. 224-236). Springer, Berlin, Heidelberg.
Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Khan, S. U. (2015). The rise of “big data” on cloud computing: Review and open research issues. Information Systems, 47, 98-115.
Jiang, Q., Ma, J., & Wei, F. (2016). On the security of a privacy-aware authentication scheme for distributed mobile cloud computing services. IEEE Systems Journal.
Le Vinh, T., & Bouzefrane, S. (2014, August). Trusted platforms to secure mobile cloud computing. In The 16th IEEE International Conference (pp. 1096-1103).
Meng, T. (2017). Security and Performance Tradeoff Analysis of Offloading Policies in Mobile Cloud Computing (Doctoral dissertation, Freie Universität Berlin).
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.
Nawrocki, P., & Sniezynski, B. (2017). Autonomous Context-Based Service Optimization in Mobile Cloud Computing. Journal of Grid Computing, 15(3), 343-356.
Rahimi, M. R., Ren, J., Liu, C. H., Vasilakos, A. V., & Venkatasubramanian, N. (2014). Mobile cloud computing: A survey, state of art and future directions. Mobile Networks and Applications, 19(2), 133-143.
Rittinghouse, J. W., & Ransome, J. F. (2016). Cloud computing: implementation, management, and security. CRC press.
Yu, F. R., & Leung, V. C. (2015). Advances in mobile cloud computing systems. CRC Press.
Zhang, Y., Chen, X., Li, J., Wong, D. S., Li, H., & You, I. (2017). Ensuring attribute privacy protection and fast decryption for outsourced data security in mobile cloud computing. Information Sciences, 379, 42-61.
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