Selected papers

  1. H. Suzuki, D. Chiba, Y. Yoneya, T. Mori, and S. Goto, “ShamFinder: An Automated Framework for Detecting IDN Homographs,” Proceedings of the 19th ACM  Internet Measurement Conference (IMC 2019),  pp. 449–462, October 2019 (acceptance rate = 19.3%=38/197)  [PDF][Slide][arXiv]
  2. S. Maruyama, S. Wakabayashi, and T. Mori, “Tap ‘n Ghost: A Compilation of Novel Attack Techniques against Smartphone Touchscreens,” Proceedings of the 40th IEEE Symposium on Security and Privacy (S&P 2019), pp. 628-645, May 2019 (acceptance rate = 12.5%=84/673) [PDF][slide][short video][YouTube][threatpost][gbhackers][ZDNet][replication work]
  3. M. Juuti, B. Sun, T. Mori, and N. Asokan, “Stay On-Topic: Generating Context-specific Fake Restaurant Reviews,” Proceedings of the 23rd European Symposium on Research in Computer Security (ESORICS 2018), pp. 132–151, September 2018 (acceptance rate: 56/283=19.8%) [Springer]
  4. E. Pariwono, D. Chiba, M. Akiyama, and T. Mori, “Don’t throw me away: Threats Caused by the Abandoned Internet Resources Used by Android Apps,” Proceedings of the 13th ACM ASIA Conference on Information, Computer and Communications Security (ASIACCS 2018), pp. 147–158, June 2018 (acceptance rate: 62/310=20.0%) [PDF]
  5. T. Watanabe, E. Shioji, M. Akiyama, K. Sasaoka, T. Yagi, and T. Mori, “User Blocking Considered Harmful? An Attacker-controllable Side Channel to Identify Social Accounts,”
    Proceedings of the 3rd IEEE European Symposium on Security and Privacy (Euro S&P 2018), pp. 323–337, April 2018 (acceptance rate: 33/144=22.9%). [IEEE Xplore
  6. 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][slide][bibtex][USENIX][Data]
  7. T. Kimura, K. Ishibashi, T. Mori, H. Sawada, T. Toyono, K. Nishimatsu, A. Watanabe, A. Shimoda, and K. Shiomoto, “Spatio-temporal Factorization of Log Data for Understanding Network Events“, Proceedings of the IEEE INFOCOM 2014, May 2014 (acceptance rate: 19.4%) [IEEE Xplore][bibtex][PDF]