A STUDY ON SECURITY ISSUES CAUSED BY AD LIBRARIES IN SMARTPHONE APPS
Published In: 6TH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, CONTROL AND NETWORKING
Author(s): MENG-YUAN CHANG , MING-YANG SU , YING-TANG HSU
Abstract: Many app developers would cooperate with ad networks by adding a procedural code (called ad library or ad lib) from ad providers into the app. The free apps will help them get into the market, and the ad will increase their income. To make ad more targeted at the needs of individual users, ad lib must collect personal information, including age, gender, income and something even more private, the habit of network use, and the location of users. It would automatically connect itself with the ad server to send out the personal information while receiving the ad reply from the ad server. Aside from pictures, it may include JavaScript for malicious acts and require the connection between the app and the third-party server to download malicious apps and automatically install and run them under the background. To make more profits from ads, many app developers embed more than one ad libs into an app, i.e., connecting to several ad providers, so as to make the security problem ever worse. Usi
- Publication Date: 26-Feb-2017
- DOI: 10.15224/978-1-63248-117-7-14
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WEBSITE FORGERY/FALSIFICATION DETECTION TECHNIQUE USING HYPERLINK INFORMATION
Published In: 6TH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, CONTROL AND NETWORKING
Author(s): CHUNG-HYUN LIM , GEUK LEE , HYO-JUNG AHN , JI-HO CHO
Abstract: n this paper, we propose a forgery/falsification detection technique of an web site using hyperlink information in the web site. The system crawls all hyperlink information of the web site when a user accesses to the suspicious web site that has the financial information stealing purpose. The captured multiple hyperlink information is compared with those of normal web site hyperlinks information to detect forgery/falsification. The proposed system calculates distance of the normal site hyperlink strings with captured one using Levenshtein distance algorithm to detect whether the site is normal or not. If it is determined as normal, analysis procedure is finished. But if it is determined as abnormal, a warning message is sent to the user to prevent additional financial information spill and further accidents from the forgery/falsified web site.
- Publication Date: 26-Feb-2017
- DOI: 10.15224/978-1-63248-117-7-15
- Views: 0
- Downloads: 0