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Assessing Initial Attacks and Defense with Retry Function in MQTT Over QUIC
No full textMQTT over QUIC protocol has recently garnered attention in the IoT field. This protocol enables faster communication than the traditional MQTT. However, the security risks arising from the new combination of MQTT and QUIC still need to be explained. In particular, the MQTT over QUIC broker's availability could be compromised by initial attacks that exploit specific vulnerabilities of the QUIC protocol. Initial attacks target the handshake process of the QUIC protocol and unfairly consume server-side resources. This study examines the impact of initial attacks on MQTT over QUIC brokers and proposes defensive measures. Our verification shows that initial attacks can indeed compromise the availability of MQTT over QUIC brokers. Furthermore, we confirmed that maintaining session continuity can preserve broker availability against initial attacks.conference pape
A study on a trade-off between efficiency and reliability in weakly Byzantine gathering algorithms for mobile agents
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Developing and Optimizing Soft-edge Occlusion System for Light Dimming Using Transmissive Liquid Crystal Displays
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ミャクラクマクジョウ ケイモウマク シゲキ ホウシキ ジンコウ モウマク ヨウ タコウセイ シゲキ デンキョク ノ セイタイナイ チョウキ シゲキカ ニ オケル デンキ カガク トクセイ ニ カンスル ケンキュウ
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Relationship Between Rule-finding Video Game Behavior and Mental Health Conditions
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フクスウ ノ リング オシレータ オ モチイタ デンジハ カイセキ コウゲキ ケンチ ノ コウセイドカ ニ カンスル ケンキュウ
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A Study on Node Selection Algorithm Based on Dueling Deep Q-Network Model in Unstable P2P Network Environments
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ゼン Ride : ジドウ ウンテンシャ ニ オケル XR マインド フルネス
Get PDF自動運転によって運転者は運転行為から解放され, 社内での自由な活動が可能になる. その活動の一つとして, 車内での移動時間を利用し, 心を落ち着かせ, ストレス軽減をし, マインドフルな体験を可能とする活動に注目が集まっている. 本研究では, 自動運転車内における没入型映像による視聴覚刺激やモーションプラットフォーム座席による前庭感覚刺激および体性感覚刺激からの姿勢制御を包含するXR技術を活用した, 新たな自動運転マインドフルネスの支援システムを提案する.conference pape
Post-marketing surveillance of anticancer drugs using natural language processing of electronic medical records
No full textThis study demonstrates that adverse events (AEs) extracted using natural language processing (NLP) from clinical texts reflect the known frequencies of AEs associated with anticancer drugs. Using data from 44,502 cancer patients at a single hospital, we identified cases prescribed anticancer drugs (platinum, PLT; taxane, TAX; pyrimidine, PYA) and compared them to non-treatment (NTx) group using propensity score matching. Over 365 days, AEs (peripheral neuropathy, PN; oral mucositis, OM; taste abnormality, TA; appetite loss, AL) were extracted from clinical text using an NLP tool. The hazard ratios (HRs) for the anticancer drugs were: PN, 1.15–1.95; OM, 3.11–3.85; TA, 3.48-4.71; and AL, 1.98–3.84; the HRs were significantly higher than that of the NTx group. Sensitivity analysis revealed that the HR for TA may have been underestimated; however, the remaining three types of AEs extracted from clinical text by NLP were consistently associated with the three anticancer drugs.journal articl