Our paper submitted to The 2021 IEEE Global Communications Conference (GLOBECOM 2021) .
M. Yajima, D. Chiba, Y. Yoneya, and T. Mori, “Measuring Adoption of DNS Security Mechanisms with Cross-Sectional Approach,” IEEE Global Communications Conference: Communication & InformationSystems Security (Globecom 2021 CISS), Madrid, Spain December 2021. (to appear)
Sakurai-kun presented a talk at the 5th IEEE International Workshop on Traffic Measurements for Cybersecurity (WTMC2020), which is held online this year.
Y. Sakurai, T. Watanabe, T. Okuda, M. Akiyama, and T. Mori, “Discovering HTTPSified Phishing Websites Using the TLS Certificates Footprints,” Proceedings of the 5th IEEE International Workshop on Traffic Measurements for Cybersecurity (WTMC2020), pp. 521-530, September 2020 [Video Talk][PDF]
Suzuki-kun gave a talk at the 19th ACM Internet Measurement Conference (IMC19), which is held in Amsterdam, Netherland. This work is a joint work with JPRS and NTT Secure Platform Laboratories.
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 [PDF][Slide]
Our poster on the first analysis of Voice Assistant apps submitted to ACM Conference on Computer and Communications Security (CCS 2019) got accepted. This is a joint work with NTT. Congrats, Natatsuka-san!
Atsuko Natatsuka, Ryo Iijima, Takuya Watanabe, Mitsuaki Akiyama, Tetsuya Sakai, and Tatsuya Mori, “A First Look at the Privacy Risks of Voice Assistant Apps,” (poster presentation), Proc. of ACM Conference on Computer and Communications Security (CCS 2019) (to appear)
Our paper on the automatic generation of IOC (indicator of compromise) submitted to the 35th Annual Computer Security Applications Conference (ACSAC2019) got accepted for publication. This is a joint work with NTT and UC Berkeley. Congratulations, Kurogome-san!
Yuma Kurogome, Yuto Otsuki, Yuhei Kawakoya, Makoto Iwamura, Syogo Hayashi, Tatsuya Mori, and Koushik Sen, “EIGER: Automated IOC Generation for Accurate and Interpretable Endpoint Malware Detection, ” Proceedings of the the 35th Annual Computer Security Applications Conference (ACSAC2019), pp. xx–xx, December 2019. (acceptance rate = 22.6%=60/266) (to appear)