A Conceptual Diagram for Secure Virtual Office Services
DOI:
https://doi.org/10.61841/e84dp692Keywords:
Virtual Office System, SME, Integrity Check, Secure Deletion, USB Block, Remote MonitoringAbstract
A virtual office is a business platform exists in cyberspace. A virtual office setup allows business owners and employees to work from any location by using technology such as laptop computers and cell phones with internet access. A virtual office can provide significant savings and flexibility compared to renting a traditional office space. This system enables the employer to monitor the employees remotely. Meetings can be conducted via teleconferencing and video conferencing, and documents can be transmitted electronically. Any file transferred will be encrypted to ensure the confidentiality of the data. Integrity check will be done by the system during downloading or receiving the files. The USB ports will be protected to ensure no files can be transferred to the external drive. Digital invoice will be generated instead of manual invoice that need to use digital signature to ensure nonrepudiation. This digital invoice will be more efficient to track any transaction history and at the same time will make stock monitoring will be more efficient as any invoice issued the product, stock will automatically deducted from central database. The user can set the system to notify the user when the available stock less than the amount set by the users. This research paper analyzing the user requirements towards the need of virtual office and conceptual diagram proposed as per overall virtual office services that required by the target users which are small and medium enterprise companies.
Downloads
References
[1] Pirraglia, W., 2019. Organizational Problems in the Workplace. Retrieved Mar 25, 2019, from
http://smallbusiness.chron.com/organizational-problems-workplace-12570.html
[2] Hughes, C., 2017. 3 challenges to securing business data. Retrieved Mar 26, 2019, from
https://www.csoonline.com/article/3187305/data-breach/article.html
[3] Symantec, 2019. How to safely and securely use USB memory sticks. Retrieved Mar 26, 2018
[4] Trend Micro Forward-Looking Threat Research Team, 2018. Understanding Motivations and Methods of Web
Defacement. Retrieved Mar 25, 2019.
[5] FullQuota Editor, 2014. 3 Keys To Eliminating Common Warehouse Inventory Management Inefficiencies.
Retrieved Mar 27, 2019 from https://www.bspny.com/blog/3-keys-to-eliminating-common-warehouseinventory-management-inefficiencies
[6] Koshima, H. & Hoshen, J., 2000. Personal Locator Service Emerge. IEEE Spectrum, Issue Feb. 2000, pp. 41-
48.
[7] Lee, Y. W., Suh, Y. & Shibasaki, R., 2008. A GIS-based simulation to predict GPS availability. KSCE Journal
of Civil Engineering, 12(6), pp. 401-408.
[8] Peterson, Z. N. J. et al., 2005. Secure Deletion for a Versioning File System. s.l., USENIX Association.
[9] Gutmann, P., n.d, 1996. Secure Deletion of Data from Magnetic and Solid-State Memory. Retrieved Mar 27,
2019 fromhttps://www.cs.auckland.ac.nz/~pgut001/pubs/secure_del.html.
[10] Lee, B., Son, K., Won, D. & Kim, S., 2011 . Secure Data Deletion for USB Flash Memory. Journal of
Information Science and Engineering, pp. 933-952.
[11] Heo, J. et al., 2008. Secure Deletion for NAND Flash File System. Fortaleza, Ceara, Brazil, ACM.
[12] Mahajan, D. P. & Sachdeva, A., 2013. A Study of Encryption Algorithms AES, DES and RSA for Security.
Global Journal of Computer Science and Technology Network, Web & Security , 13(15), p. 15.
[13] Kim, G. H. & Spafford, E. H., 1994. The Design and Implementation of Tripwire: A File System Integrity
Checker. West Lafayette, COAST Laboratory Department of Computer Sciences .
[14] Akamai Technologies, Inc, 2015. Strategies for Cyber-Attack Protection: Managed Web Security Services.
Retrieved Mar 4, 2019.
[15] Tahir, M. F., 2015. Global Positioning System (GPS) Based Location Finder on Android, s.l.: Blekinge
Institute of Technology.
[16] Singh, S. P. & Maini, R., 2011. Comparison of Data Encryption Algorithms. International Journal of
Computer Science and Communication , 2(1), pp. 125-127.
[17] P. Mary Jeyanthi, Santosh Shrivastava Kumar “The Determinant Parameters of Knowledge Transfer among
Academicians in Colleges of Chennai Region”, Theoretical Economics Letters, 2019, 9, 752-760.
[18] P. Mary Jeyanthi, “An Empirical Study of Fraudulent and Bankruptcy in Indian Banking Sectors”, The
Empirical Economics Letters, Vol.18; No. 3, March 2019, ISSN: 1681-8997, which is in C category of ABDC
List. http://www.eel.my100megs.com/volume-18-number-3.htm
[19] Mary Jeyanthi, S and Karnan, M.: “Business Intelligence: Hybrid Metaheuristic techniques”, International
Journal of Business Intelligence Research, - Volume 5, Issue 1, April-2014.
[20] P. Mary Jeyanthi, “INDUSTRY 4.O: The combination of the Internet of Things (IoT)and the Internet of People
(IoP)”, Journal of Contemporary Research in Management, Vol.13; No. 4 Oct-Dec, 2018, ISSN: 0973-9785.
[21] P. Mary Jeyanthi, "The transformation of Social media information systems leads to Global business: An
Empirical Survey", International Journal of Technology and Science (IJTS), issue 3, volume 5, ISSN Online:
2350-1111 (Online). URL: http://www.i3cpublications.org/M-IJTS-061801.pdf
[22] P. Mary Jeyanthi,” An Empirical Study of Fraud Control Techniques using Business Intelligence in Financial
Institutions”, Vivekananda Journal of Research Vol. 7, Special Issue 1, May 2018, ISSN 2319-8702(Print),
ISSN 2456-7574(Online). URL: http://vips.edu/wp-content/uploads/2016/09/Special-Issue-VJR-conference-
2018.pdf Page no: 159-164.
[23] Mary Jeyanthi, S and Karnan, M.: “Business Intelligence: Artificial bear Optimization Approach”,
International Journal of Scientific & Engineering Research, Volume 4, Issue 8, August-2013.
[24] Mary Jeyanthi, S and Karnan, M.: “Business Intelligence: Optimization techniques for Decision Making”,
International Journal of Engineering Research and Technology, Volume 2, Issue 8, August-2013.
[25] Mary Jeyanthi, S and Karnan, M.: “A New Implementation of Mathematical Models with metaheuristic
Algorithms for Business Intelligence”, International Journal of Advanced Research in Computer and
Communication Engineering, Volume 3, Issue 3, March-2014.
[26] Dr. Mary Jeyanthi: “Partial Image Retrieval Systems in Luminance and Color Invariants: An Empirical Study”,
International Journal of Web Technology (ISSN: 2278-2389) – Volume-4, Issue-2.
URL: http://www.hindex.org/2015/p1258.pdf
[27] Dr. Mary Jeyanthi: “CipherText Policy attribute-based Encryption for Patients Health Information in Cloud
Platform”, Journal of Information Science and Engineering (ISSN: 1016-2364)
[28] Mary Jeyanthi, P, Adarsh Sharma, Purva Verma: “Sustainability of the business and employment generation in
the field of UPVC widows” (ICSMS2019).
[29] Mary Jeyanthi, P: “An Empirical Survey of Sustainability in Social Media and Information Systems across
emerging countries”, International Conference on Sustainability Management and Strategy” (ICSMS2018).
[30] Mary Jeyanthi, P: “Agile Analytics in Business Decision Making: An Empirical Study”, International
Conference on Business Management and Information Systems” (ICBMIS2015).
[31] Mary Jeyanthi, S and Karnan, M.: “Business Intelligence – soft computing Techniques”, International
Conference on Mathematics in Engineering & Business Management (ICMEB 2012).
[32] Mary Jeyanthi, S and Karnan, M.: “A Comparative Study of Genetic algorithm and Artificial Bear
Optimization algorithm in Business Intelligence”, International Conference on Mathematics in Engineering &
Business Management (ICMEB 2012).
[33] Mary Jeyanthi, S and Karnan, M.: “Business Intelligence: Data Mining and Optimization for Decision Making
”, 2011 IEEE International Conference on Computational Intelligence and Computing Research (2011 IEEE
ICCIC).
[34] Mary Jeyanthi, S and Karnan, M.: “Business Intelligence: Data Mining and Decision making to overcome the
Financial Risk”, 2011 IEEE International Conference on Computational Intelligence and Computing Research
(2011 IEEE ICCIC).
[35] Dr. Mary Jeyanthi, S: “Pervasive Computing in Business Intelligence”, State level seminar on Computing and
Communication Technologies. (SCCT-2015)
[36] Dr.P.Mary Jeyanthi, “Artificial Bear Optimization (ABO) – A new approach of Metaheuristic algorithm for
Business Intelligence”, ISBN no: 978-93-87862-65-4, Bonfring Publication. Issue Date: 01-Apr-2019
[37] Dr.P.Mary Jeyanthi , “Customer Value Management (CVM) – Thinking Inside the box” – ISBN : 978-93-
87862-94-4, Bonfring Publication, Issue Date: 16-Oct-2019.
[38] Jeyanthi, P. M., & Shrivastava, S. K. (2019). The Determinant Parameters of Knowledge Transfer among
Academicians in Colleges of Chennai Region. Theoretical Economics Letters, 9(4), 752-760.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.