コンピューターセキュリティシンポジウム(CSS 2015) にて2件の発表が表彰

2015年10月21日〜10月23日に長崎県長崎市で開催されたコンピューターセキュリティシンポジウム(CSS 2015) と併催されたマルウェア人材育成ワークショップ (MWS 2015)にて、当研究室の石井君が発表した論文「Androidクローンアプリの大規模分析」が学生論文賞を受賞しました。

また、同じく併催された第1回プライバシーワークショップ(PWS 2015)では、当研究室の渡邉君が発表した論文「RouteDetector: 9軸センサ情報を用いた位置情報追跡攻撃」が優秀論文賞を受賞しました。

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夏合宿 2015 / Summer Camp 2015

9/19-21に合宿を開催しました。昨年までは後藤研究室と合同で開催させていただきましたが、今年は初の単独での合宿となりました。場所は早稲田大学が経営する、太平洋が一望できる鴨川のセミナーハウスです。研究発表ゼミでは研究室OBの室田君にも参加していただき、充実した討論ができました。天気にも恵まれましたので、レクリエーションやBBQなどで親睦を深めました。初の合宿単独開催でしたが、森研究室の更なる発展を期待しています。

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Presented a talk at USENIX WOOT’15

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)

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Presented a talk at SOUPS 2015

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]

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The ACODE dataset has been released!

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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!