Review of Literature

Example of Review of Literature Regarding Mobile Phone Security Capstone Project

The variety of digital devices can also weaken the security measure unintentionally. The

content in the research paper of Milosevic, Dehghantanha & Choo (2017) is coherent to the real-

world problem of digital devices that run without anti-virus and anti-malware. The problem is

common because users do not generally install any malware detection on their digital devices.

The usual process of asking the user permission to install an application on the user's device

opens a gateway to malware. Do you click the "Ok" button without reading the prompted

message when installing a mobile application? Practically and theoretically, the users will grant

access to any digital app or software they want to install. The adversaries can take advantage of

such a procedure from the unaware user and open a cyber-attack network. The research indeed

presents a legitimate concern and problem occurring in the realm of digital devices and

contributes relevant ideas to this capstone project. Unfortunately, this common mistake from the

users is prevalent and typical.

In connection with the above-selected theory, Xie, Zhang, Chaugule, Jaeger, and Zhu

(2009) research cellphone malware and conclude that cellphone was attractive targets cyber-

criminals due to their status of becoming a necessary and prevalent factor of human's daily

activities. Unlike personal computers, mobile devices are more vulnerable because of their

absolute dependence on a common software platform. An attacker can craft a cyber-attack on

one platform and quickly spread the malicious code to the network infrastructures via legal

services on mobile devices. At the time of the research, although there were defensive

mechanisms that mirrored the defense used for personal computers, such as applying security

patches, they were time-consuming due to the time needed for downloading the security patches.

The process often could cost excessively extra charges to the users, and it relied on the network

of the devices. By the time the security patches were successfully installed and applied, the

malware could already gain access to a legal service (e.g., email, messaging services, etc.) and

become a trusted service on the infected device. Although this article was from a decade ago, the

issue still exists these days. Unfortunately, this old paper still presents a real-world problem of

digital devices and provides helpful information for the capstone project.

Example of Reference in APA Style

Milosevic, N., Dehghantanha, A., & Choo, K. R. (2017). Machine learning aided android

malware classification. Computers & Electrical Engineering, 61, 266–274.

https://doi.org/10.1016/j.compeleceng.2017.02.013

Xie, L., Zhang, X., Chaugule, A., Jaeger, T., & Zhu, S. (2009). Designing system-level defenses

against cellphone malware. 2009 28th IEEE International Symposium on Reliable

Distributed Systems, 83–90. https://doi.org/10.1109/SRDS.2009.21