Monowar H. Bhuyan
生駒 : 奈良先端科学技術大学院大学, 2019.11
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With the significant growth of Artificial Intelligence (AI) and Machine Learning (ML), especially in the last five years, a wide range of problems in industries and applications aim to solve by utilizing the features of AL/ML to reach automation, granular performance, and human level understandability. The security industry is no contrast but brings challenges as well as increased sophistication due to the use of AI/ML for both attackers and defenders, especially when it considers critical infrastructures. Hence, monitoring and countermeasures of critical infrastructures are crucial against cyber-attacks. Because systems or devices or networks have been generating megabytes to terabytes of data every day, therefore, needs to observe them in micro-level to ensure security and privacy of critical infrastructures. This talk will cover the importance and requirements of data in AI-based security systems, primarily when handles messy operations, automation, robustness in critical infrastructures.
2019
電子化映像資料(1時間28分51秒)
情報科学領域・コロキアム ; 2019年度
講演者所属: Umea University, Sweden
講演日: 2019年11月26日
講演場所: 情報科学棟大講義室L1
Japan
English (eng)
English (eng)