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001454074 001__ 1454074
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001454074 019__ $$a1359336888$$a1361717238
001454074 020__ $$a9783031200991$$q(electronic bk.)
001454074 020__ $$a3031200993$$q(electronic bk.)
001454074 020__ $$z9783031200984
001454074 020__ $$z3031200985
001454074 0247_ $$a10.1007/978-3-031-20099-1$$2doi
001454074 035__ $$aSP(OCoLC)1362869717
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001454074 049__ $$aISEA
001454074 050_4 $$aQ325.5
001454074 08204 $$a006.3/1$$223/eng/20230120
001454074 1112_ $$aInternational Conference on Machine Learning for Cyber Security$$n(4th :$$d2022 :$$cGuangzhou, China).
001454074 24510 $$aMachine learning for cyber security :$$b4th International Conference, ML4CS 2022, Guangzhou, China, December 2-4, 2022, proceedings.$$nPart II /$$cedited by Yuan Xu, Hongyang Yan, Huang Teng, Jun Cai, Jin Li.
001454074 24630 $$aML4CS 2022
001454074 264_1 $$aCham :$$bSpringer,$$c[2023]
001454074 264_4 $$c©2023
001454074 300__ $$a1 online resource (xvii, 625 pages) :$$billustrations (chiefly color).
001454074 336__ $$atext$$btxt$$2rdacontent
001454074 337__ $$acomputer$$bc$$2rdamedia
001454074 338__ $$aonline resource$$bcr$$2rdacarrier
001454074 347__ $$atext file$$bPDF$$2rda
001454074 4901_ $$aLecture notes in computer science ;$$v13656
001454074 500__ $$aSelected conference papers.
001454074 500__ $$aIncludes author index.
001454074 5050_ $$aAMAD: 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 based on 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 in VANETs 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.
001454074 506__ $$aAccess limited to authorized users.
001454074 520__ $$aThe three-volume proceedings set LNCS 13655,13656 and 13657 constitutes the refereed proceedings of the 4th International Conference on Machine Learning for Cyber Security, ML4CS 2022, which taking place during December 24, 2022, held in Guangzhou, China. The 100 full papers and 46 short papers were included in these proceedings were carefully reviewed and selected from 367 submissions.
001454074 588__ $$aDescription based on print version record.
001454074 650_0 $$aMachine learning$$vCongresses.
001454074 650_0 $$aComputer security$$vCongresses.
001454074 655_0 $$aElectronic books.
001454074 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001454074 655_7 $$aConference papers and proceedings.$$2lcgft
001454074 7001_ $$aXu, Yuan,$$eeditor.
001454074 7001_ $$aYan, Hongyang,$$eeditor.
001454074 7001_ $$aTeng, Huang,$$eeditor.
001454074 7001_ $$aCai, Jun,$$eeditor.
001454074 7001_ $$aLi, Jin$$c(Computer scientist),$$eeditor.
001454074 77608 $$iPrint version:$$aInternational Conference on Machine Learning for Cyber Security (4th : 2022 : Guangzhou, China), creator.$$tMachine learning for cyber security : Part II.$$dCham : Springer Nature Switzerland, 2022$$z9783031200984$$w(OCoLC)1346937189
001454074 830_0 $$aLecture notes in computer science ;$$v13656.
001454074 852__ $$bebk
001454074 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-20099-1$$zOnline Access$$91397441.1
001454074 909CO $$ooai:library.usi.edu:1454074$$pGLOBAL_SET
001454074 980__ $$aBIB
001454074 980__ $$aEBOOK
001454074 982__ $$aEbook
001454074 983__ $$aOnline
001454074 994__ $$a92$$bISE