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DOI will be assigned to every published paper at no additional charge. 📢 Call for Papers — Volume 13, Issue 9 (September 2026) | Submission Deadline: September 30, 2026 | Rapid peer review: 2–3 days | Impact Factor: 7.37 (SJIF 2026)

Paper Details

📄 IJAERD-OJS-1429

FRSE: Detecting Malicious Facebook Software

Author(s):Abhay kumar, Sonu Satyam, Abhishek Kumar, Dr S.D.Babur
Institution:Department Of Computer Science,SITCollege of Engg. Lonavla,Pune
Published In:Vol. 3, Issue 4 — April 2016
Page No.:493-497
Domain:Engineering
Type:Research Paper
ISSN (Online):2348-4470
ISSN (Print):2348-6406
Abstract

In on-line Social Networking (OSN), With 20 million installs an afternoon, 3rdparty apps are a chief motivefor the recognition and addictiveness of facebook (OSN). Unfortunately, hackers have found out the capacity of usingapps for spreading malware and junk mail which might be dangerous to fb users. The hassle is already giant, as wediscover that as a minimum 13% of apps in our dataset are malicious. Thus far, the research community has targeted ondetecting malicious posts and campaigns.In this venture, we ask the question to the fb person that, given a facebookutility, can you decide whether that utility is malicious? Of course that consumer couldn‘t pick out that. So, our keycontribution is in developing ―FRSE—fb‘s Rigorous software Evaluator‖, arguably the primary tool centered ondetecting malicious apps on facebook. To broaden FRAppE, we use records accumulated through looking at the postingbehavior of 111K facebook apps seen throughout 2.2 million customers on facebook. First, we pick out a hard and fast offeatures that help us distinguish between malicious apps and benign apps. For instance, we find that malicious apps oftenshare names with different apps, and that they generally request few permissions than benign apps. 2d, leveraging thosedistinguishing functions, we show that FRAppE can locate malicious apps with 99.5% accuracy, without a false positivesand a low fake bad rate (4.1%). ultimately, we explore the ecosystem of malicious fb apps and pick out mechanisms thatthese apps use to propagate. interestingly, we discover that many apps collude and aid each other; in our dataset, wediscover 1,584 apps allowing the viral propagation of three,723 different apps thru their posts. long-term, we seeFRAppE as a step towards growing an independent watchdog for app evaluation and ranking, as a way to warn facebookusers earlier than installing apps.

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🕮 How to Cite

Abhay kumar, Sonu Satyam, Abhishek Kumar, Dr S.D.Babur, “FRSE: Detecting Malicious Facebook Software”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 3, Issue 4, pp. 493-497, April 2016.

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