June, 2023
Accepted Papers in June, 2023
◇Masaki Kobayashi, Yo Kanemoto, Daisuke Kotani, Yasuo Okabe:Generation of IDS Signatures through Exhaustive Execution Path Exploration in PoC Codes for Vulnerabilities
◇Hayato Kimura, Keita Emura, Takanori Isobe, Ryoma Ito, Kazuto Ogawa, Toshihiro Ohigashi:A Deeper Look into Deep Learning-based Output Prediction Attacks Using Weak SPN Block Ciphers
◇ Ichiro Asomura, Ryo Iijima, Mori Tatsuya:Automating the Detection of Fraudulent Activities in Online Banking Service
◇Rei Yamagishi, Shota Fujii:An Analysis of Susceptibility to Phishing via Business Chat through Online Survey
◇Shota Fujii, Nobutaka Kawaguchi, Tomohiro Shigemoto, Toshihiro Yamauchi:Extracting and Analyzing Cybersecurity Named Entity and its Relationship with Noncontextual IOCs from Unstructured Text of CTI Sources
◇Hiromasa Kitai, Naoto Yanai, Kazuki Iwahana, Masataka Tatsumi, Jason Paul Cruz:A Study on Quantized Parameters for Protection of Model and Its Inference Input
◇Jun Yajima, Maki Inui, Takanori Oikawa, Fumiyoshi Kasahara, Kentaro Tsuji, Ikuya Morikawa, Nobukazu Yoshioka:ASRA-Q: AI Security Risk Assessment by Selective Questions
◇Hoang Viet Nguyen, Tetsutaro Uehara:Multilayer Action Representation based on MITRE ATT&CK for Automated Penetration Testing
◇Satoshi Okada, Kunio Akashi, Daisuke Miyamoto, Yuji Sekiya, Hideki Takase, Hiroshi Nakamura:Memory-saving LDoS Attacker Detection Algorithms in Zigbee Network
◇Michio Kunimoto, Takao Okubo:Analysis and Consideration of Detection Method against Fraudulent Access using Attribute Information and Access Log History
◇Koichi Onoue, Masaru Ueno, Yui Noma:Container-Native Managed Data Sharing
◇Tsutomu Matsumoto, Junichi Sakamoto, Manami Suzuki, Dai Watanabe, Naoki Yoshida:A trial to embed RAM encryption scheme in cryptographic programs
◇Supavas Sitthithanasakul, Bodin Chinthanet, Raula Gaikovina Kula, Natthakit Netsiwawichian, Pattara Leelaprute, Bundit Manaskasemsak, Arnon Rungsawang, Kenichi Matsumoto:Do Developers Present Proficient Code Snippets in Their README Files? An Analysis of PyPI Libraries in GitHub
◇Siqi Peng, Akihiro Yamamoto:Z-TCA: Fast Algorithm for Triadic Concept Analysis using Zero-suppressed Decision Diagrams