Abstract
With the rise in popularity of using websites to distribute content to users, content creators needed to gain revenue from page views. To achieve this, they use third-party networks to distribute advertisements and perform analytics on users to customize their advertisements. These networks build up a profile of their users (e.g., navigation patterns, visit frequency, personal interest), which poses a significant privacy risk as this information can be sold to others or used in targeted advertising. In order for users to protect themselves, they need to install add-ons for their web browser which removes third-party content. This paper surveys some of the existing add-ons to block third-party content, and determine which add-ons are required to provide adequate protection. Further analytics are conducted to evaluate the effectiveness of those add-ons through the experiments.
| Original language | English |
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| Title of host publication | Proceedings - 2015 IEEE 21st Pacific Rim International Symposium on Dependable Computing, PRDC 2015 |
| Place of Publication | United States |
| Publisher | IEEE, Institute of Electrical and Electronics Engineers |
| Pages | 264-272 |
| Number of pages | 9 |
| Volume | 2015 |
| ISBN (Electronic) | 9781467393768 |
| DOIs | |
| Publication status | Published - 4 Jan 2016 |
| Externally published | Yes |
| Event | 21st IEEE Pacific Rim International Symposium on Dependable Computing, PRDC 2015 - Zhangjiajie, China Duration: 18 Nov 2015 → 20 Nov 2015 |
Conference
| Conference | 21st IEEE Pacific Rim International Symposium on Dependable Computing, PRDC 2015 |
|---|---|
| Country | China |
| City | Zhangjiajie |
| Period | 18/11/15 → 20/11/15 |