Our paper on URL blacklisting, submitted to the IEICE Transactions was accepted for publication. Congrats, Sun-san!
B. Sun, M. Akiyama, T. Yagi, M. Hatada, and T. Mori, “Automating URL Blacklist Generation with Similarity Search Approach,” IEICE Transactions on Information and Systems, Vol.E99-D, No.4, pp. xx-xx, April 2016 (in press).
We presented four posters at RAID 2015 held in Kyoto. We got useful feedback from many researchers. Here are the list of our posters:
Watanabe-kun gave a talk at USENIX WOOT’15 held in Washington D.C. The workshop was collocated with the USENIX Security Symposium. In the two days workshop, many “offensive” technologies were demonstrated. We believe that ours was one of the scariest works among the studies. The paper and slides are available from the USENIX site.
T. Watanabe, M. Akiyama, and T. Mori, “RouteDetector: Sensor-based Positioning System that Exploits Spatio-temporal Regularity of Human Mobility,” Proceedings of the 9th USENIX Workshop on Offensive Technologies (WOOT ’15), pp. 1-8, August 2015, Washington D.C., US. (acceptance rate = 35.1% = 20/57)
Watanabe-kun gave a talk at SOUPS 2015 held in Ottawa. He was the first Japanese researcher who presented a talk at SOUPS main conference. We enjoyed the talks given at the conference. The paper and slides are available at the USENIX site.
T. Watanabe, M. Akiyama, T. Sakai, H. Washizaki, and T. Mori, “Understanding the Inconsistencies between Text Descriptions and the Use of Privacy-sensitive Resources of Mobile Apps,” Proceedings of Symposium on Usable Privacy and Security (SOUPS 2015), pp. 241–255, July 2015, Ottawa, Canada. (acceptance rate = 23.7% = 22/93) [PDF][bibtex]
We are delighted to announce that we share the ACODE dataset with the research community. It consists of text descriptions of 200K Android apps. The apps and their descriptions were collected from official market place (Google Play) and third-party markets. The text descriptions are written in English and Chinese. In addition to the raw text descriptions, the dataset includes manually labeled text descriptions where a label indicates whether a text description refers to use of a particular permission or not. Furthermore, we also share key extracted results (keywords for classifying text descriptions) so that other researchers can reproduce our results. More details as well as the way to download the data are available from the ACODE project page. Please feel free to drop us an e-mail message if you want to try out. Enjoy!