Trend Analysis of Malwares in Social Information Based Android Market
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
As the use of smartphones and the launch of various apps have increased rapidly, the number of malicious apps has also increased, and the damage is continuing. The Google Market where Android apps are registered is inevitably present at the same time as normal apps and malicious apps even though there are regulations for app registration. Especially, as social networks are activated, users are connected with social networks, and the ratings, downloads and awareness information are reflected in the number of downloaded apps. As a result, when users choose their apps by simply reflecting ratings, popularity, popular comments, and highly-categorized apps, malicious app downloads can sometimes cause significant harm. Therefore, this study first analyzed the tendency of malicious apps by directly crawling and analyzing long-term social information in the currently active Android market.
Abstract
As the use of smartphones and the launch of various apps have increased rapidly, the number of malicious apps has also increased, and the damage is continuing. The Google Market where Android apps are registered is inevitably present at the same time as normal apps and malicious apps even though there are regulations for app registration. Especially, as social networks are activated, users are connected with social networks, and the ratings, downloads and awareness information are reflected in the number of downloaded apps. As a result, when users choose their apps by simply reflecting ratings, popularity, popular comments, and highly-categorized apps, malicious app downloads can sometimes cause significant harm. Therefore, this study first analyzed the tendency of malicious apps by directly crawling and analyzing long-term social information in the currently active Android market.
참고문헌 (13)
- "Mobile malcoders pay to (Google)Play" (2013)[URL]
- "Gartner Says Annual Smartphone Sales Surpassed Sales of Feature Phones for the First Time in 2013" (2014)[URL]
- "Security Apps under Permanent Stress" (2014)[URL]
- Enck, W., "On lightweight mobile phone application certification", Proceedings of the 16th ACM conference on Computer and communications security, pp.235~245 (2009)
- Pearce, P., "Addroid : Privilege separation for applications and advertisers in android", Proceedings of the 7th ACM Symposium on Information, Computer and Communications Security, pp.71~72 (2012)
- Shabtai, A., "Applying behavioral detection on android-based devices", Mobile Wireless Middleware, Operating Systems, and Applications, 48, pp.235~249 (2010)
- Bugiel, S., "Towards taming privilege-escalation attacks on Android", Proceedings of the 19th Annual Symposium on Network and Distributed System Security, pp.1~18 (2012)
- Bose, A., "Behavioral detection of malware on mobile handsets", Proceedings of the 6th international conference on Mobile systems, applications, and services, pp.225~238 (2008)
- Blasing, T., "An android application sandbox system for suspicious software detection", Proceedings of Malicious and Unwanted Software (MALWARE), pp.55~62 (2010)
- Yang, C., "Detecting money-stealing apps in alternative Android markets", Proceedings of the 2012 ACM conference on Computer and communications security, pp.1034~1036 (2012)
- "VirusTotal - Free Online Virus, Malware and URL Scanner" (2014)[URL]
- "F-Secure, 25 years of the best pr otection in the world" (2014)[URL]
- 오하영, "안드로이드 앱 추천 시스템을 위한 Sybil공격과 Malware의 관계 분석", 정보보호학회논문지, 26(5), pp.1235~1241 (2016), 한국정보보호학회[DOI]