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IEEE CNS - SPA 2017 : 2017 Workshop on Security and Privacy in digital Advertising within the fifth IEEE Conference on Communications and Network Security


When Nov 10, 2017 - Nov 10, 2017
Where Las Vegas, Nevada, USA
Submission Deadline Jul 7, 2017
Notification Due Aug 11, 2017
Final Version Due Aug 17, 2017
Categories    security   privacy   digital advertising

Call For Papers


Digital advertising is one of the fastest-growing businesses of contemporary economy: a worldwide market which is already worth more than 200 billion dollars per year, and expected to almost double by 2020. In addition, the global spread of mobile devices, widespread adoption of pervasive IoT technologies, as well as broad diffusion of social media applications have been changing the original target of digital advertising, therefore reaching out to an unprecedented number of users almost anytime and anywhere. Given the multi-billion dollars nature of the advertising market and the lack of legislation against ad fraud in many countries, fraudsters have a strong economic incentive to perpetrate fraudulent activities and exploit vulnerabilities of online advertising systems.

Many attacks on such systems have the goal of exhausting advertisers budget. This could be either done by a fraudulent publisher who is attempting to make more money than it deserves, or by a fraudulent advertiser who is targeting other (antagonistic) advertisers to reduce ad competition. Other threats may concern user privacy; indeed, ad networks deploy user profiling mechanisms to better target advertising campaigns. This mostly translates into tracking user's activities (e.g., for web browsing, exploiting client-side browser state via cookies). Unfortunately, these techniques collect a huge amount of information to identify, profile, and trace the user. Users are thus in need of a way to control the sharing of their information with advertisers in order to protect their privacy.

Given this challenging scenario, SPA seeks novel contributions describing theoretical and practical solutions to the aforementioned problems, namely how to make future digital advertising more secure and privacy-aware. Submissions may represent any application area of digital advertising: from traditional display advertising and sponsored search results to in-stream native advertising and mobile app-install ads. In addition, visionary work on new application areas of digital advertising, such as advertising on the Internet of Things, are also highly encouraged.

Topics of interest include, but are not limited to, Security and Privacy Issues in:

- Display Advertising
- Sponsored Search
- Native Advertising
- Mobile Advertising (Web and in-App)
- Contextual Advertising
- Behavioral-targeted Advertising
- Location-targeted Advertising
- Marketplace and Economics of Computational Advertising
- Ad Clicks Attribution and Billing
- Ad Conversion Attribution and Billing
- Ad Network Traffic Analysis
- Ad Personalization
- Ad Blocking Technologies
- User Tracing and Profiling
- Social Network Advertising
- Social Media Advertising
- Cross-channel Advertising
- Data Mining for Internet Advertising
- Machine Learning for Computational Advertising
- Crowd-sourced Review Platforms
- Opinion Mining
- Psychological Advertising
- Real-time Bidding
- Statistical Game Theory for Computational Advertising
- IoT Advertising
- Advertising in Smart Cities


Submitted papers must represent original material that is not currently under review in any other conference or journal, and has not been previously published. All submissions must be written in English with a maximum paper length of 6 (six) pages including text, figures, and references, and formatted according to the two-­column IEEE conference paper format (10-point font). Accepted papers will be published in the IEEE Digital Library after the conference and included in the IEEE CNS proceedings as well as IEEE Xplore. Papers should be submitted using the CNS main conference submission system (EDAS).

For more detailed information about the workshop, please visit the workshop website:


- Mauro Conti, University of Padua, Italy
- Gabriele Tolomei, Yahoo Research, UK

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