Upcoming Articles

When Amazon Meets Google: Product Visualization by Exploring Multiple Web Sources
Wang, Meng

Abstract: Product visualization is able to help users easily get knowledge about the visual appearance of a product. In this paper, we present a novel product visualization approach that automatically collects a set of diverse and relevant product images by exploring multiple web sources. Our approach simultaneously leverages Amazon and Google image search engine, which represent domain-specific knowledge resource and general web information collection, respectively. We propose a conditional clustering approach, which is formulated as an affinity propagation problem with regarding the Amazon examples as information prior. The ranking information of Google image search results is also explored.
Resolvers Revealed: Characterizing DNS Resolvers and their Clients
Shue, Craig; Kalafut, Andrew

Abstract: The Domain Name System allows clients to use resolvers to query a set of authoritative servers to translate host names into IP addresses. While prior work has examined the DNS from many angles, the resolver component has received little scrutiny. Essential factors for using a resolver in an access control system, such as whether a resolver is part of an ISP's infrastructure or running on an end-user's system, have not been examined. We examine DNS resolver behavior and usage, from query patterns and reactions to non-standard responses to passive association techniques to pair resolvers with their client hosts.
SafeVchat: A System for Obscene Content Detection in Online Video Chat Services
Liang, Yu-Li; Xing, Xinyu; Cheng, Hanqiang; Dang, Jianxun; Huang, Sui; Han, Richard; Liu, Xue; Lv, Qin; Mishra, Shivakant

Abstract: Recently, online video chat services, such as Chatroulette and Omegle that randomly match users in video chat sessions, are quickly emerging with over a million users per month in the case of Chatroulette. A key problem encountered in such systems is the presence of obscene content. This paper presents SafeVchat, a novel solution which employs an array of visual feature detectors to detect misbehaving users. SafeVchat achieves high recall and precision when evaluated over real-world data. Besides, SafeVchat has been deployed in Chatroulette and offensive content has dropped significantly from 33.08% (before SafeVchat installation) to 3.49% (after SafeVchat installation).
User and ISP Rights of Device Attachment and Device Management
Jordan, Scott; Shaffer, Gwen

Abstract: Internet research often assumes users may connect devices without consent by their service providers. However, in many networks the service provider only allows use of devices obtained directly from the provider. We review how United States communications law addresses the rights of users to connect devices of their choice. We explicate a set of user and service provider rights. We propose legal requirements for attachment and management of devices. We illustrate how these proposed regulations would affect the services currently offered on telephone, cable, satellite, video networks, and cellular networks, as well as on the Internet.
A Server-Side Authenticated Key-Establishment with Low Computational Workload
Oligeri, Gabriele; Bicakci, Kemal; Crispo, Bruno

Abstract: Server-side authenticated key-establishment protocols are characterized by demanding a heavy workload to the server. We propose LAKE: a new protocol that allows to amortize server's workload peaks by moving most of the computational burden to the clients. We provide a formal analysis of the LAKE protocol under the Canetti-Krawczyk model and prove it as secure under such a model. Finally, we show the efficiency of our protocol through extensive measurements on a real client-server pair. To the best of our knowledge, this is the most computationally efficient authenticated key-establishment ever proposed in literature.