Home > Computing and Information Technology > Computer security > Machine Learning for Cyber Security: 4th International Conference, ML4CS 2022, Guangzhou, China, December 2–4, 2022, Proceedings, Part I(13655 Lecture Notes in Computer Science)
37%
Machine Learning for Cyber Security: 4th International Conference, ML4CS 2022, Guangzhou, China, December 2–4, 2022, Proceedings, Part I(13655 Lecture Notes in Computer Science)

Machine Learning for Cyber Security: 4th International Conference, ML4CS 2022, Guangzhou, China, December 2–4, 2022, Proceedings, Part I(13655 Lecture Notes in Computer Science)

          
5
4
3
2
1

Available


Premium quality
Premium quality
Bookswagon upholds the quality by delivering untarnished books. Quality, services and satisfaction are everything for us!
Easy Return
Easy return
Not satisfied with this product! Keep it in original condition and packaging to avail easy return policy.
Certified product
Certified product
First impression is the last impression! Address the book’s certification page, ISBN, publisher’s name, copyright page and print quality.
Secure Checkout
Secure checkout
Security at its finest! Login, browse, purchase and pay, every step is safe and secured.
Money back guarantee
Money-back guarantee:
It’s all about customers! For any kind of bad experience with the product, get your actual amount back after returning the product.
On time delivery
On-time delivery
At your doorstep on time! Get this book delivered without any delay.
Quantity:
Add to Wishlist

About the Book

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.

Table of Contents:
Traditional Chinese Medicine Health Status Identification with Graph Attention Network.- "Flexible Task Splitting Strategy in Aircraft Maintenance Technician Scheduling Based on Swarm Intelligence".- Privacy Preserving CSI Fingerprint Device-Free Localization.- A Novel Blockchain-MEC-based Near-domain Medical Resource Sharing Model.- Pairwise Decomposition of Directed Graphic Models for Performing Amortized Approximate Inference.- VDDL: A Deep Learning-based Vulnerability Detection Model for Smart Contracts.- "Robust Remote Sensing Scene Classification with Multi-View Voting and Entropy Ranking".- Visualized analysis of the emerging trends of automated audio description technology.- Anomaly Detection for Multi-Time Series with Normalizing Flow.- Encrypted Transmission Method of Network Speech Recognition Information Based on Big Data Analysis.- "A Lightweight NFT Auction Protocol for Cross-chain Environment".- "A Multi-Scale Framework for Out-of-Distribution Detection in Dermoscopic Images".- Swarm Intelligence for Multi-objective Portfolio Optimization.- Research on Secure Cloud Storage of Regional Economic Data Network Based on Blockchain Technology.- "Data Leakage with Label Reconstruction in Distributed Learning Environments".- Analysis Method of Abnormal Traffic of Teaching Network in Higher Vocational Massive Open Online Course Based on Deep Convolutional Neural Network.- "Spatio-Temporal Context Modeling for Road Obstacle Detection".- A Survey of Android Malware Detection Based on Deep Learning.- "Information Encryption Transmission Method of Automobile Communication Network Based on Neural Network".- Explanation-Guided Minimum Adversarial Attack.- CIFD: A Distance for Complex Intuitionistic Fuzzy Set.- Security Evaluation Method of Distance Education Network Nodes Based on Machine Learning.- "MUEBA:A Multi-Model System for Insider Threat Detection".- "Bayesian Based Security Detection Method for Vehicle CAN Bus Network".- "Discrete Wavelet Transform-based CNN for Breast Cancer Classification from Histopathology Images".- "Machine Learning Based Security Situation Awareness Method for Network Data Transmission Process".- Multi-objective Hydrologic Cycle Optimization for Integrated Container Terminal Scheduling Problem.- A Method for Residual Network Image Classification with Multi-scale Feature Fusion.- "High Voltage Power Communication Network Security Early Warning and Monitoring System Based on Hmac Algorithm".- "Large Scale Network Intrusion Detection Model Based on FS Feature Selection".- "Research on Intelligent Detection Method of Automotive Network Data Security Based on FlexRay/CAN Gateway".- Adversarial Attack and Defense on Natural Language Processing in Deep Learning: A Survey and Perspective.- A Novel Security Scheme for Mobile Healthcare in Digital Twin.- Construction of Security Risk Prediction Model for Wireless Transmission of Multi Axis NC Machining Data.- Spiking Neural Networks Subject to Adversarial Attacks in Spiking Domain.- Diverse Web APIs Recommendation with Privacy-preservation for Mashup Development.- Network Security Evaluation Method of College Freshmen Career Counseling Service Based on Machine Learning.- FedTD:Efficiently share telemedicine data with federated distillation learning.- Increase channel attention based on Unet++ architecture for medical images.- Distributed Power Load Missing Value Forecasting with Privacy Protection.- Differentially Private Generative Model with Ratio-based Gradient Clipping.- Differential privacy protection algorithm for data clustering center.- Improved Kmeans algorithm based on privacy protection.- Symmetry Structured Analysis Sparse Coding for Key Frame Extraction.- Data Reconstruction from Gradient Updates in Federated Learning.- Natural Backdoor Attacks on Speech Recognition Models.- Boarding Pass Positioning with Jointly Multi-channel Segmentation and Perspective Transformation Correction.- AP-GCL:Adversarial perturbation ongraph contrastive learning .- An Overview of Opponent Modeling for Multi-agent Competition.- Adversarial Attack and Defense on Natural Language Processing in Deep Learning: A Survey and Perspective.


Best Sellers


Product Details
  • ISBN-13: 9783031200953
  • Publisher: Springer International Publishing AG
  • Publisher Imprint: Springer International Publishing AG
  • Height: 235 mm
  • No of Pages: 669
  • Returnable: Y
  • Spine Width: 36 mm
  • Weight: 960 gr
  • ISBN-10: 3031200950
  • Publisher Date: 13 Jan 2023
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Series Title: 13655 Lecture Notes in Computer Science
  • Sub Title: 4th International Conference, ML4CS 2022, Guangzhou, China, December 2–4, 2022, Proceedings, Part I
  • Width: 155 mm


Similar Products

How would you rate your experience shopping for books on Bookswagon?

Add Photo
Add Photo

Customer Reviews

REVIEWS           
Click Here To Be The First to Review this Product
Machine Learning for Cyber Security: 4th International Conference, ML4CS 2022, Guangzhou, China, December 2–4, 2022, Proceedings, Part I(13655 Lecture Notes in Computer Science)
Springer International Publishing AG -
Machine Learning for Cyber Security: 4th International Conference, ML4CS 2022, Guangzhou, China, December 2–4, 2022, Proceedings, Part I(13655 Lecture Notes in Computer Science)
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Machine Learning for Cyber Security: 4th International Conference, ML4CS 2022, Guangzhou, China, December 2–4, 2022, Proceedings, Part I(13655 Lecture Notes in Computer Science)

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book
    Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    New Arrivals

    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!
    ASK VIDYA