年次要覧
第69号 2020年度 VII. 発表業績

著書および学術雑誌等に発表したもの

著書および学術雑誌等に発表したもの

部門・センター:

  • ROPminer: Learning-based Static Detection of ROP Chain Considering Linkability of ROP Gadgets:Toshinori Usui, Tomonori Ikuse, Yuto Otsuki, Yuhei Kawakoya, Makoto Iwamura, Jun Miyoshi, Kanta Matsuura・IEICE Transactions on Information and Systems, Vol.E103-D, No.7, pp.1-17, doi: 10.1587/transinf.2019ICP0016, 2020.7C
  • On Private Information Retrieval Supporting Range Queries:Junichiro Hayata, Jacob Schuldt, Goichiro Hanaoka, Kanta Matsuura・Lecture Notes in Computer Science, Vol.12309, pp.674-694, doi: 10.1007/978-3-030-59013-0_33, 2020.9C
  • Constructive t-secure Homomorphic Secret Sharing for Low Degree Polynomials:Kittiphop Phalakarn, Vorapong Suppakitpaisarn, Nuttapong Attrapadung, Kanta Matsuura・Lecture Notes in Computer Science, vol.12578, pp.763-785, doi: 10.1007/978-3-030-65277-7_34, 2020.12C
  • Automatic Reverse Engineering of Script Engine Binaries for Building Script API Tracers:Toshinori Usui, Yuto Otsuki, Tomonori Ikuse, Yuhei Kawakoya, Makoto Iwamura, Jun Miyoshi, Kanta Matsuura・ACM Digital Threats: Research and Practice, Vol.2, No.1, Article 5, doi: 10.1145/3416126, 2021.1C
  • Equivalence between Non-Malleability against Replayable CCA and Other RCCA-Security Notions:Junichiro Hayata, Fuyuki Kitagawa, Yusuke Sakai, Goichiro Hanaoka, Kanta Matsuura・IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol.E104-A, No.1, pp.89-103, doi: 10.1587/transfun.2020CIP0015, 2021.1C
  • Identifying Crypto API Usages in Android Apps using a Static Analysis Framework:Daisuke Sumita, Kanta Matsuura・First DFRWS APAC Conference, online, 2021.1D
  • Androidアプリケーションにおける静的解析を使用した暗号化API利用の特定:角田大輔, 松浦幹太・2020年コンピュータセキュリティシンポジウム(CSS2020), オンライン, [2020年コンピュータセキュリティシンポジウム(CSS2020)予稿集, pp.80-87, 2020.10], 2020.10E
  • 内部のバイトコード実行を悪用したスマートコントラクトへの攻撃の早期検知:宮里俊太郎, 松浦幹太・2020年コンピュータセキュリティシンポジウム(CSS2020), オンライン, [2020年コンピュータセキュリティシンポジウム(CSS2020)予稿集, pp.478-485, 2020.10], 2020.10E
  • スクリプト実行環境に対するテイント解析機能の自動付与手法:碓井利宣, 幾世知範, 川古谷裕平, 岩村誠, 三好潤, 松浦幹太・2020年コンピュータセキュリティシンポジウム(CSS2020), オンライン, [2020年コンピュータセキュリティシンポジウム(CSS2020)予稿集, pp.932-939, 2020.10], 2020.10E
  • On Private Information Retrieval Supporting Multi-dimensional Range Queries:J.Hayata, J.C.N.Schuldt, G.Hanaoka, K.Matsuura・2021年暗号と情報セキュリティシンポジウム (SCIS2021), オンライン, [2021年暗号と情報セキュリティシンポジウム (SCIS2021)予稿集, 2021.1], 2021.1E
  • 動的に不正署名を生成するデバイスを追跡可能な集約署名:石井龍, 照屋唯紀, 坂井祐介, 松田隆宏, 花岡悟一郎, 松浦幹太, 松本勉・2021年暗号と情報セキュリティシンポジウム (SCIS2021), オンライン, [2021年暗号と情報セキュリティシンポジウム (SCIS2021)予稿集, 2021.1], 2021.1E
  • Discovering Fuzzy Periodic-Frequent Patterns in Quantitative Temporal Databases:R Uday Kiran, C Saideep, Penugonda Ravikumar, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa, P Krishna Reddy・2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), [2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2020.7], 2020.7D
  • Parallel Mining of Partial Periodic Itemsets in Big Data:C Saideep, R Uday Kiran, Koji Zettsu, Cheng-Wei Wu, P Krishna Reddy, Masashi Toyoda, Masaru Kitsuregawa・International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, [International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 807-819, 2020.9], 2020.9D
  • Discovering Maximal Periodic-Frequent Patterns in Very Large Temporal Databases:R Uday Kiran, Yutaka Watanobe, Bhaskar Chaudhury, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa・2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA), [2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA), 11-20, 2020.10], 2020.10D
  • Discovering Frequent Spatial Patterns in Very Large Spatiotemporal Databases:R Uday Kiran, Sourabh Shrivastava, Philippe Fournier-Viger, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa・The 28th International Conference on Advances in Geographic Information Systems, [Proceedings of the 28th International Conference on Advances in Geographic Information Systems, 445-448, 2020.11], 2020.11D
  • Discovering Closed Periodic-Frequent Patterns in Very Large Temporal Databases:P. Likhitha, PRavikumar, R. Uday Kiran, Yuto Hayamizu, Kazuo Goda, Masashi Toyoda, Koji Zettsu, Sourabh Shrivastava・2020 IEEE International Conference on Big Data (IEEE BigData 2020), [Proceedings of 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 4700-4709, 2020.12], 2020.12D