AFFILIATE RESEARCH
IoT Bricks Over v6: Understanding IPv6 Usage in Smart Homes
By David Choffnes | October 2024
Recent years have seen growing interest and support for IPv6 in residential networks. While nearly all modern networking devices and operating systems support IPv6, it remains unclear how this basic support translates into higher-layer functionality, privacy, and security in consumer IoT devices. In this paper, we present the first comprehensive study of IPv6 usage in smart homes in a testbed equipped with 93 distinct, popular consumer IoT devices. We investigate whether and how they support and use IPv6, focusing on factors such as IPv6 addressing, configuration, DNS and destinations, and privacy and security practices.
We find that, despite most devices having some degree of IPv6 support, in an IPv6-only network just 20.4% transmit data to Internet IPv6 destinations, and only 8.6% remain functional, indicating that consumer IoT devices are not yet ready for IPv6 networks. Furthermore, 16.1% of devices use easily traceable IPv6 addresses, posing privacy risks. Our findings highlight the inadequate IPv6 support in consumer IoT devices compared to conventional devices such as laptops and mobile phones. This gap is concerning, as it may lead to not only usability issues but also privacy and security risks for smart home users.
Other Affiliate Research
A Case Study in an A.I.-Assisted Content Audit
This paper presents an experimental case study utilizing machine learning and generative AI to audit content diversity in a hyper- local news outlet, The Scope, based at a university and focused on underrepresented communities in Boston. Through computational text analysis, including entity extraction, topic labeling, and quote extraction and attribution, we evaluate the extent to which The Scope’s coverage aligns with its mission to amplify diverse voices.
AI Regulation: Competition, Arbitrage & Regulatory Capture
The commercial launch of ChatGPT in November 2022 and the fast development of Large Language Models catapulted the regulation of Artificial Intelligence to the forefront of policy debates One overlooked area is the political economy of these regulatory initiatives–or how countries and companies can behave strategically and use different regulatory levers to protect their interests in the international competition on how to regulate AI.
This Article helps fill this gap by shedding light on the tradeoffs involved in the design of AI regulatory regimes in a world where: (i) governments compete with other governments to use AI regulation, privacy, and intellectual property regimes to promote their national interests; and (ii) companies behave strategically in this competition, sometimes trying to capture the regulatory framework.
Multimodal Drivers of Attention Interruption to Baby Product Video Ads
Ad designers often use sequences of shots in video ads, where frames are similar within a shot but vary across shots. These visual variations, along with changes in auditory and narrative cues, can interrupt viewers’ attention. In this paper, we address the underexplored task of applying multimodal feature extraction techniques to marketing problems.