Carlotta Tagliaro (TU Wien), Florian Hahn (University of Twente), Riccardo Sepe (Guess Europe Sagl), Alessio Aceti (Sababa Security SpA), Martina Lindorfer (TU Wien)

The ever-increasing popularity of Smart TVs and support for the Hybrid Broadcast Broadband TV (HbbTV) standard allow broadcasters to enrich content offered to users via the standard broadcast signal with Internet-delivered apps, e.g., ranging from quizzes during a TV show to targeted advertisement. HbbTV works using standard web technologies as transparent overlays over a TV channel. Despite the number of HbbTV-enabled devices rapidly growing, studies on the protocol's security and privacy aspects are scarce, and no standard protective measure is in place.

We fill this gap by investigating the current state of HbbTV in the European landscape and assessing its implications for users' privacy. We shift the focus from the Smart TV's firmware and app security, already studied in-depth in related work, to the content transmission protocol itself. Contrary to traditional ``linear TV'' signals, HbbTV allows for bi-directional communication: in addition to receiving TV content, it also allows for transmitting data back to the broadcaster. We describe techniques broadcasters use to measure users' (viewing) preferences and show how the protocol's implementation can cause severe privacy risks by studying its deployment by 36 TV channels in five European countries (Italy, Germany, France, Austria, and Finland). We also survey users' awareness of Smart TV and HbbTV-related risks. Our results show little understanding of the possible threats users are exposed to. Finally, we present a denylist-based mechanism to ensure a safe experience for users when watching TV and to reduce the privacy issues that HbbTV may pose.

View More Papers

PPA: Preference Profiling Attack Against Federated Learning

Chunyi Zhou (Nanjing University of Science and Technology), Yansong Gao (Nanjing University of Science and Technology), Anmin Fu (Nanjing University of Science and Technology), Kai Chen (Chinese Academy of Science), Zhiyang Dai (Nanjing University of Science and Technology), Zhi Zhang (CSIRO's Data61), Minhui Xue (CSIRO's Data61), Yuqing Zhang (University of Chinese Academy of Science)

Read More

Kids, Cats, and Control: Designing Privacy and Security Dashboard...

Jacob Abbott (Indiana University), Jayati Dev (Indiana University), DongInn Kim (Indiana University), Shakthidhar Reddy Gopavaram (Indiana University), Meera Iyer (Indiana University), Shivani Sadam (Indiana University) , Shirang Mare (Western Washington University), Tatiana Ringenberg (Purdue University), Vafa Andalibi (Indiana University), and L. Jean Camp(Indiana University)

Read More

HeteroScore: Evaluating and Mitigating Cloud Security Threats Brought by...

Chongzhou Fang (University of California, Davis), Najmeh Nazari (University of California, Davis), Behnam Omidi (George Mason University), Han Wang (Temple University), Aditya Puri (Foothill High School, Pleasanton, CA), Manish Arora (LearnDesk, Inc.), Setareh Rafatirad (University of California, Davis), Houman Homayoun (University of California, Davis), Khaled N. Khasawneh (George Mason University)

Read More

Short: Certifiably Robust Perception Against Adversarial Patch Attacks: A...

Chong Xiang (Princeton University), Chawin Sitawarin (University of California, Berkeley), Tong Wu (Princeton University), Prateek Mittal (Princeton University)

Read More