Artificial intelligence and security : 6th International Conference, ICAIS 2020, Hohhot, China, July 17-20, 2020, Proceedings.: 6th International Conference, ICAIS 2020, Hohhot, China, July 17-20, 2020, Proceedings. Part I (2020)

• Record Type: Book
• Other Titles: ICAIS 2020
• Further Information: Note: Xingming Sun, Jinwei Wang, Elisa Bertino (eds.).
• Other Names: Sun, Xingming; Wang, Jinwei; Bertino, Elisa; International Conference on Artificial Intelligence and Security, 6th
• Contents: Intro -- Preface -- Organization -- Contents -- Part I -- Contents -- Part II -- Artificial Intelligence -- Method of Multi-feature Fusion Based on Attention Mechanism in Malicious Software Detection -- 1 Introduction -- 2 Related Works -- 2.1 Malicious Software API Sequence -- 2.2 Attention Mechanism -- 2.3 Convolutional Neural Networks (CNN) -- 2.4 Gated Recurrent Unit (GRU) -- 3 The Malware Detection Model -- 3.1 Model Introduction -- 4 Experiment -- 4.1 Introduction to Experimental Data -- 4.2 Experimental Environment -- 4.3 Experimental Result -- 4.4 Comparative Test -- 5 Conclusion An Overview of Cross-Language Information Retrieval -- 1 Introduction -- 2 Approaches in CLIR -- 2.1 Query Translation Approach -- 2.2 Document Translation -- 2.3 Pivotal Translation -- 3 Challenges in CLIR -- 3.1 Language Resources -- 3.2 Ambiguity -- 4 The Latest Algorithms and Technologies in CLIR -- 4.1 Word Embedding -- 4.2 Query Expansion -- 5 Conclusion and Future Work -- References -- A Formal Method for Safety Time Series Simulation of Aerospace -- 1 Background -- 2 Temporal Model -- 3 Software Design -- 4 Experiment -- 5 Conclusion -- References Tuple Measure Model Based on CFI-Apriori Algorithm -- 1 Introduction -- 2 CFI-Apriori Algorithm -- 2.1 Disadvantages of Apriori Algorithm -- 2.2 CFI-Apriori Algorithm Working Process -- 3 Establishment of Tuple Measurement Model Based on CFI-Apriori Algorithm -- 3.1 Tuple Measurement Model -- 3.2 Tuple Measurement Model Based on Sum of Probability Weights -- 3.3 Tuple Measurement Model Based on Information Entropy -- 4 Simulation -- 4.1 CFI-Apriori Instance Analysis -- 4.2 Tuple Measurement Weight Setting and Case Analysis 4.3 Experimental Data and Analysis of Tuple Measurement Model Based on Sum of Probability Weights -- 4.4 Simulation Analysis of Correlation Data Tuple Measurement Model Based on Information Entropy -- 5 Conclusion -- References -- Deep Learning Video Action Recognition Method Based on Key Frame Algorithm -- 1 Introduction -- 2 Related Work -- 2.1 Key Frame Extraction -- 2.2 Action Recognition -- 3 Method -- 3.1 KGAF-Means Algorithm Model -- 3.2 Dual-Stream Variable Convolution Network -- 4 Experimental Results -- 4.1 Experimental Parameter Setting -- 4.2 Experimental Results -- 5 Conclusion
• Publisher Details: Cham : Springer
• Publication Date: 2020
• Extent: 1 online resource (851 p.)
• Subjects: 006.3; 005.8; Artificial intelligence -- Congresses; Computer security -- Congresses; Cloud computing -- Security measures -- Congresses; Application software; Computer security; Artificial intelligence; Computer networks; Machine learning; Electronic books
• Languages: English
• ISBNs: 9783030578848; 3030578844
• Related ISBNs: 9783030578831
• Notes: Note: References -- Computing Sentence Embedding by Merging Syntactic Parsing Tree and Word Embedding -- 1 Introduction -- 2 Related Work -- 2.1 Sentence Embedding -- 2.2 Syntactic Parsing -- 3 SynTree-WordVec Method -- 3.1 Main Idea -- 3.2 SynTree-WordVec's Framework -- 3.3 Computation Steps of SynTree-WordVec -- 3.4 Parameters Learning -- 4 Experiment and Analysis -- 4.1 Datasets and Evaluation Criterion -- 4.2 Weighting Parameter's Distribution -- 4.3 Parameters Learning of Part-of-speech -- 4.4 Comparison of Experimental Results -- 5 Conclusions and Future Work -- References; Note: Includes bibliographical references and author index.
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