Smart-TV security: risk analysis and experiments on Smart-TV communication channels

Bachy, Yann; Nicomette, Vincent; Kaâniche, Mohamed; Alata, Éric

doi:10.1007/s11416-018-0320-3

Cited by 9 publications

(11 citation statements)

References 12 publications

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“…In recent years, smart TV security became a widely studied issue, not only among scientists [28][29][30], but it also caught the attention of the groups in the hacking community (like OpenLGTV [31] or SamyGO [32]). One part of the activity of such groups is a modification of TV systems to allow all users to take full advantage of their devices.…”

Section: Related Workmentioning

confidence: 99%

Analysis of Tizen Security Model and Ways of Bypassing It on Smart TV Platform

Majchrowicz

Duch

2021

Applied Sciences

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The smart TV market is growing at an ever faster pace every year. Smart TVs are equipped with many advanced functions, allow users to search, chat, browse, share, update, and download different content. That is one of the reason why smart TVs became a target for the hacker community. In this article, we decided to test security of Tizen operating system, which is one of the most popular smart TV operating systems. Tizen is used on many different devices including smartphones, notebooks, wearables, infotainment systems, and smart TVs. By now, there are articles which present security mechanisms of Tizen OS, and sometimes with a way to bypass them; however, none of them are applicable to the smart TVs. In the article, we focused on developing an algorithm that will allow us to gain root access to the smart TV. The proposed attack scenario uses CVE-2014-1303 and CVE-2015-1805 bugs to bypass or disable security mechanisms in Tizen OS and finally gain root access.

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Section: Related Workmentioning

confidence: 99%

Analysis of Tizen Security Model and Ways of Bypassing It on Smart TV Platform

Majchrowicz

Duch

2021

Applied Sciences

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“…M. Newlin [23] developed MouseJack, a tool able to sniff or inject keystrokes on wireless, non-Bluetooth mice and keyboards. Y. Bachy et al [3] discovered vulnerabilities on DVB-T communications used for smart TVs that allowed them to inject crafted messages and remotely take control of the smart TVs. A. Francillon et al [12] As several attacks (e.g.…”

Section: Iot Attacksmentioning

confidence: 99%

“…The diagnosis of the frequency of the anomalous radio activity is based on the evaluation of the 4-norm distance between each point of the reconstructed spectrogramŵ and the measured spectrogram w between the start date t s and the end date t e estimated by the anomaly time diagnosis component. A weight is associated with each frequency f , as stated in (3). The estimated frequency associated with the detected anomaly is the frequency with the maximum weight, as shown in (4).…”

Section: Frequential Diagnosismentioning

confidence: 99%

“…Y. Bachy and al. [3] presented an attack on smart TV aiming at spoofing the legitimate transmitter of a DVB-T channel and transmitting malicious data streams (such as faked video or even some URL referencing malicious code). For that purpose, they had to crush the legitimate signal by transmitting with a significantly stronger power.…”

mentioning

confidence: 99%

“…For that purpose, they had to crush the legitimate signal by transmitting with a significantly stronger power. S. Kamkar [17] presented some replay attacks on garage doors and vehicles, and also developed OpenSesame 3 , a device that uses De Bruijn sequences to open wirelessly the same kind of objects. We used the open-source framework Mirage 4 to generate a large set of attacks on different technologies from multiple locations (labeled A to F, see Figure 10).…”

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confidence: 99%

See 2 more Smart Citations

Rids

Gimenez

Roux

Alata

et al. 2021

ACM Trans. Cyber-Phys. Syst.

Self Cite

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The expansion of the Internet-of-Things (IoT) market is visible in homes, factories, public places, and smart cities. While the massive deployment of connected devices offers opportunities to improve quality of life and to develop new services, the impact of such devices on the security of the users in a context where the level of malicious threat continues to increase is a major concern. One of the challenges is the heterogeneity and constant evolution of wireless technologies and protocols used. To overcome this problem, we propose RIDS, a Radio Intrusion Detection System that is based on the monitoring and profiling of radio communications at the physical layer level using autoencoder neural networks. RIDS is independent of the wireless protocols and modulation technologies used. Besides, it is designed to provide a threefold diagnosis of the detected anomalies: temporal (start and end date of the detected anomaly), frequential (main frequency of the anomaly), and spatial (location of the origin of the anomaly). To demonstrate the relevance and the efficiency of our approach, we collected a large dataset of radio-communications recorded with three different probes deployed in an experimental room. Multiple real-world attacks involving a wide variety of communication technologies are also injected to assess the detection and diagnosis efficiency. The results demonstrate the efficiency of RIDS in detecting and diagnosing anomalies that occurred in the 400–500 Mhz and 800–900 Mhz frequency bands. It is noteworthy that compromised devices and attacks using these communication bands are generally not easily covered by traditional solutions.

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Enhancing Game-Based Learning Through Infographics in the Context of Smart Home Security

Bahrini¹,

Zargham²,

Pfau³

et al. 2020

Lecture Notes in Computer Science

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Constantly evolving advances of smart home devices features require users to persistently keep up with safety concerns. While update reports and news articles are common ways to keep them informed, many users struggle in thoroughly understanding and applying available security recommendations. Educational games have proven to be an intuitive way to increase the incentive for awareness but many of them come short to convey the needed supporting knowledge. In an attempt to raise security awareness on smart home devices, we designed an educational game to demonstrate the latest security challenges and solutions. To ascertain users' attention and motivation, we have developed two versions of the game to contrast the integration of text and infographics as supporting knowledge which are the hints in this case. Our evaluations give evidence that viewing security-related content with a higher deployment of infographics improves users' performance significantly, increases users' interest in the topic, and creates higher levels of confidence solving security problems and complexities.

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Smart-TV security: risk analysis and experiments on Smart-TV communication channels

Cited by 9 publications

References 12 publications

Analysis of Tizen Security Model and Ways of Bypassing It on Smart TV Platform

Analysis of Tizen Security Model and Ways of Bypassing It on Smart TV Platform

Rids

Enhancing Game-Based Learning Through Infographics in the Context of Smart Home Security

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