This paper is published in Volume-7, Issue-5, 2021
Area
Computer Engineering
Author
Dr. Ali Ahmed Razzaq
Org/Univ
Andhra University, Visakhapatnam, Andhra Pradesh, India
Pub. Date
10 September, 2021
Paper ID
V7I5-1192
Publisher
Keywords
Online Social Networks, Facebook Apps, Malicious Apps, Profiling Apps

Citationsacebook

IEEE
Dr. Ali Ahmed Razzaq. Identifying Malicious Facebook Apps, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Dr. Ali Ahmed Razzaq (2021). Identifying Malicious Facebook Apps. International Journal of Advance Research, Ideas and Innovations in Technology, 7(5) www.IJARIIT.com.

MLA
Dr. Ali Ahmed Razzaq. "Identifying Malicious Facebook Apps." International Journal of Advance Research, Ideas and Innovations in Technology 7.5 (2021). www.IJARIIT.com.

Abstract

Third-party apps are a big reason for Facebook's success and addictiveness, with 20 million installs every day [1]. Regrettably, hackers have discovered the potential of leveraging applications to propagate malware and spam. The issue is already serious, as we discovered that at least 13% of the apps in our database are malicious. Until far, researchers have concentrated their efforts on spotting malicious messages and campaigns. In this research, we examine whether we can tell if a Facebook application is malicious just by looking at it. The development of FRAppE—Rigorous Facebook's Application Evaluator—arguably the first tool focused on detecting fraudulent apps on Facebook— was a major contribution. We used data acquired by observing the posting behavior of 111K Facebook applications across 2.2 million Facebook users to create FRAppE. First, we identify a collection of characteristics that assist us in distinguishing between malicious and benign programs. As an example, we find that malicious apps often share names with other apps, and they typically request fewer permissions than benign apps. Second, leveraging this FRAppE can detect malicious apps with 99.5 percent accuracy, no false positives, and a low false-negative rate, according to our findings (4.1 percent ). , We investigate the ecology of malicious Facebook apps and the ways by which they spread. Surprisingly, we discover that many apps collaborate and promote one another; in our dataset, 1,584 apps enable the viral spread of 3,723 additional apps through their posts. In the long run, we see FRAppE as a step toward establishing an independent watchdog for app evaluation and ranking, with the goal of alerting Facebook users before they install apps.