The Repository @ St. Cloud State

Open Access Knowledge and Scholarship

Date of Award

12-2018

Culminating Project Type

Starred Paper

Degree Name

Information Assurance: M.S.

Department

Information Assurance and Information Systems

College

Herberger School of Business

First Advisor

Abdullah Abu Hussein

Second Advisor

Lynn A. Collen

Third Advisor

Balasubramanian Kasi

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Keywords and Subject Headings

BYOD, Security, Privacy, Risk, Mobile Device Management (MDM) Confidentiality, Availability & Integrity.

Abstract

Bring your own device (BYOD) policy refers to a set of regulation broadly adopted by organizations that allows employee-owned mobile devices – like as laptops, smartphones, personal digital assistant and tablets – to the office for use and connection to the organizations IT infrastructure. BYOD offers numerous benefits ranging from plummeting organizational logistic cost, access to information at any time and boosting employee’s productivity. On the contrary, this concept presents various safety issues and challenges because of its characteristic security requirements. This study explored diverse literature databases to identify and classify BYOD policy adoption issues, possible control measures and guidelines that could hypothetically inform organizations and users that adopt and implement BYOD policy. The literature domain search yielded 110 articles, 26 of them were deemed to have met the inclusion standards. In this paper, a list of possible threats/vulnerabilities of BYOD adoption were identified. This investigation also identified and classified the impact of the threats/vulnerabilities on BYOD layered components according to security standards of “FIPS Publication 199” for classification. Finally, a checklist of measures that could be applied by organizations & users to mitigate BYOD vulnerabilities using a set layered approach of data, device, applications, and people were recommended.

Share

COinS