| 鎌田 亘佑 | M, 2回目発表 | 大規模システム管理 | 笠原 正治, | 林 優一, | 原 崇徳, | Christopher Wiraatmaja |
| MUTABAZI PATRICK | D, 中間発表 | サイバーレジリエンス構成学 | 門林 雄基, | 笠原 正治, | 林 優一, | 妙中 雄三 |
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title: RPS:Responsibility-Preserving Security for Zero-Trust Digital Systems
abstract: Modern digital security validates credentials, enforces access policies, and assesses device/session posture, yet failures still occur after access succeeds. Credentials may survive SIM-swap or recovery reassignment, sessions may persist after control changes, authorized requests may execute unintended semantics, and audit trails may identify accounts without preserving agency for fair accountability.This research introduces Responsibility-Preserving Security (RPS), a framework that treats identity, actor continuity, intent, authorization, execution, consequence, and accountability as one security chain. Its central claim is that credential validity, possession, and policy permission are necessary but insufficient for consequential digital action; systems must preserve evidence that actions remain attributable, express verified intent, execute authorized semantics, and support accountability under threat assumptions.RPS is developed through four contributions: telecom-anchored Zero-Trust identity and access management, Actor Integrity, Proof-of-Intent Authorization, and ZT-TOTP. Together, they show that modern security should protect not merely access, but legitimate responsibility across consequential digital actions. language of the presentation: English | ||||||
| NDALAMA FESTUS EDWARD （安本先生移動後開始） | D, 中間発表 | サイバーレジリエンス構成学 | 門林 雄基, | 安本 慶一, | 林 優一, | 妙中 雄三 |
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title: Towards Secure Continuous Authentication for Internet Banking Using Adaptive Multimodal Behavioral Biometrics
abstract: Internet banking has become an essential financial service, but conventional authentication mechanisms such as passwords, PINs, and one-time passwords authenticate users only at login and cannot protect active sessions from threats such as session hijacking, impersonation, and account takeover. Continuous authentication based on behavioral biometrics offers a promising alternative by continuously verifying user identity through behavioral characteristics, including keystroke dynamics, mouse movements, touch interactions, and tap patterns. However, behavioral traits evolve over time due to device changes, environmental conditions, user habits, and adversarial manipulation, leading to behavioral concept drift that degrades authentication performance. This research investigates adaptive continuous authentication for Internet banking using multimodal behavioral biometrics. The work first introduces KeystrokeMouse-TZ, a context-rich behavioral biometrics dataset collected from realistic Internet banking interactions. Building on this foundation, the DABBiT framework is proposed to detect and adapt to natural and adversarial behavioral drift during continuous authentication. Finally, a security-aware adaptation governance mechanism, the Drift-Response Decision Engine (DRDE), is developed to control model adaptation using drift evidence, threat indicators, contextual information, and modality reliability, thereby preventing unsafe learning under adversarial conditions. Together, these contributions establish a comprehensive framework for secure, adaptive, and drift-resilient continuous authentication that improves the reliability, usability, and security of Internet banking systems across heterogeneous desktop and mobile environments. language of the presentation: English | ||||||
| 倉本 真菜 | M, 2回目発表 | ソーシャル・コンピューティング | 荒牧 英治, | 渡辺 太郎, | 若宮 翔子, | 西山 智弘 | |
| 氷見 和 | M, 2回目発表 | ソーシャル・コンピューティング | 荒牧 英治, | 渡辺 太郎, | 若宮 翔子, | 西山 智弘 | |
| 田代 勇希 | M, 2回目発表 | ソーシャル・コンピューティング | 荒牧 英治, | 渡辺 太郎, | 若宮 翔子, | 西山 智弘 | |
| 辻 航平 | D, 中間発表 | 自然言語処理学 | 渡辺 太郎, | 荒牧 英治, | 上垣外 英剛, | 坂井 優介, | 平岡 達也 |
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title: Sharing LLM Embedding Spaces for Efficient Processing of Non-Latin Script Languages
abstract: Realistic LLMs must represent all languages within a finite vocabulary. Therefore, English-dominant LLMs have smaller vocabularies for non-Latin script languages like Japanese. This leads to inefficient processing and limits performance gains. However, simple vocabulary expansion or replacement methods face challenges such as increased computational costs and performance degradation. To address these issues, we introduce shared embedding spaces where multiple subwords share the same embedding. This approach expands the vocabulary size without increasing the embedding space. It minimizes computational inefficiency and performance degradation while resolving the traditional challenges. language of the presentation: Japanese 発表題目: 非ラテン文字体系言語を効率的に処理するためのLLM埋め込み空間の共有 発表概要:現実的なLLMでは，有限の語彙であらゆる言語を表現する必要がある．そのため，英語が主のLLMでは日本語などの非ラテン文字体系言語の語彙サイズが小さくなり，処理が非効率かつ性能が上がりづらくなる．しかし，単純な語彙拡張や語彙置換には，計算負荷や性能低下などの課題がある．そこで本研究では，複数のサブワードが同じ埋め込みを使う埋め込み空間の共有を導入し，語彙サイズを広げることなく，埋め込み空間を小さくすることで，計算効率や性能低下を最低限に抑えながら従来の課題を解決する． | |||||||
| FAKIH ABDEL HAMID | M, 2回目発表 | サイバーレジリエンス構成学 | 門林 雄基, | 安本 慶一, | 妙中 雄三 | ||
| 髙木 皐成 | M, 2回目発表 | ユビキタスコンピューティングシステム | 安本 慶一, | Sakriani Sakti, | 諏訪 博彦, | 佐々木 航 | |
| TANUSA YANISA | M, 2回目発表 | ユビキタスコンピューティングシステム | 安本 慶一, | Sakriani Sakti, | 諏訪 博彦, | 松井 智一 | |
| 長尾 洸吉 | M, 2回目発表 | ヒューマンＡＩインタラクション | Sakriani Sakti, | 清川 清, | 大内 啓樹, | Faisal Mehmood, | Bagus Tris Atmaja |