Machine Learning for Cyber Security

4th International Conference, ML4CS 2022, Guangzhou, China, December 2–4, 2022, Proceedings, Part II

AvYuan Xu,Hongyang Yan

Häftad, Engelska, 2023

Del 13656 i serien Lecture Notes in Computer Science

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Beskrivning

The three-volume proceedings set LNCS 13655,13656 and 13657 constitutes the refereedproceedings of the 4th International Conference on Machine Learning for Cyber Security, ML4CS 2022, which taking place during December 2–4, 2022, held in Guangzhou, China.The 100 full papers and 46 short papers were included in these proceedings were carefully reviewed and selected from 367 submissions.

Produktinformation

Utgivningsdatum:2023-01-13
Mått:155 x 235 x 35 mm
Vikt:972 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:625
Förlag:Springer International Publishing AG
ISBN:9783031200984

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Nätverk och kommunikation inom Data och IT
IT-säkerhet inom Data och IT

Innehållsförteckning

AMAD: Improving Adversarial Robustness Without Reducing Accuracy.- Multi-Party Secure Sharing and Comparison of Strings Based on Outsourced Computation.- Highway: A Super Pipelined Parallel BFT Consensus Algorithm for Permissioned Blockchain.- Overview of DDoS Attack Research under SDN.- A medical image segmentation method based on Residual network and channel attention mechanism.- Performance improvement of classification model based on Chinese adversarial samples generation.- Research on Detection Method of Large-Scale Network Internal Attack Based on Machine Learning.- Federated Community Detection in Social Networks.- A Textual Adversarial Attack Scheme for Domain-Specific Models.- An improved Conv-LSTM method for gear fault detection.- Extracting Random Secret Key Scheme for One-time Pad under Intelligent Connected Vehicle.- Semi-supervised Learning with Nearest-Neighbor Label and Consistency Regularization.- Bipolar Picture Fuzzy Graph Based Multiple Attribute Decision Making Approach-Part I.- Priv-IDS: A Privacy Protection and Intrusion Detection Framework for In-Vehicle Network.- Dynamic Momentum for Deep Learning with Differential Privacy.- An Unsupervised Surface Anomaly Detection Method Based on Attention and ASPP.- PCB Defect Detection Method Based on Improved RetinaNet.- A Method of Protecting Sensitive Information in Intangible Cultural Heritage Communication Network Based on Machine Learning.- Decision Making Analysis of Traffic Accidents on Mountain Roads in Yunnan Province.- Deep Adaptively Feature Extracting Network for Cervical Squamous Lesion Cell Detection.- DSGRAE: Deep Sparse Graph Regularized Autoencoder for Anomaly Detection.- A Lattice-Based Aggregate Signature Based on Revocable Identity.- Research and design of an emergency supply assurance monitoring system in the post-epidemic context.- Face Presentation Attack Detection Based on Texture Gradient Enhancement and Multi-scale Fusion.- Optimal Revenue Analysis of the Stubborn Mining basedon Markov Decision Process.- Bipolar Picture Fuzzy Graph Based Multiple Attribute Decision Making Approach-Part II.- Machine Learning Based Method for Quantifying the Security Situation of Wireless Data Networks.- Overlapping community discovery algorithm based on three-level neighbor node influence.- Content-Aware Deep Feature Matching.- F2DLNet: A Face Forgery Detection and Localization Network Based on SSIM Error Maps.- An Eye-Gaze Tracking Method Based on a 3D Ocular Surface Fitting Model.- A Certificateless-Based Blind Signature Scheme with Message Recovery.- Fault Detection of Rolling Bearings by Using A Combination Network Model.- zkChain: An Efficient Blockchain Privacy Protection Scheme Based on zk-SNARKs.- Research on influential factors of online learning behavior based on big data.- Short speech key generation technology based on deep learning.- Domain Adversarial Interaction Network for Cross-domain Fault Diagnosis.- A Vehicle Data Publishing System with Privacy-awares inVANETs Based on Blockchain.- Highsimb: A Concrete Blockchain High Simulation With Contract Vulnerability Detection For Ethereum and Hyperledger Fabric.- Research on key technologies for the trusted perception of network information for big data.- Micro-expression Recognition Method Combining Dual-Stream Convolution and Capsule Network.- Security Scheduling Method of Cloud Network Big Data Cluster Based on Association Rule Algorithm.- Towards Differentially Private Contrastive Learning.- Two-stage High Precision Membership Inference Attack.- Secure Storage Method for Network Resources of professional Works Based on Decision Tree Algorithm.- Vehicle CAN Network Intrusion Detection Model Based on Extreme Learning Machine and Feature Analysis.- A Broad Learning System Based on the Idea of Vertical Federated Learning.- PAMP: A New Atomic Multi-Path Payments Method with Higher Routing Efficiency.- Privacy-Preserving Searchable Encryption Scheme Based on Deep Structured Semantic Model over Cloud Application.- A Event Extraction Method of Document-level based on the Self-attention Mechanism.