Security and Privacy in New Computing Environments (inbunden)
Fler böcker inom
Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
396
Utgivningsdatum
2022-03-13
Upplaga
1st ed. 2022
Förlag
Springer Nature Switzerland AG
Medarbetare
Chen, Xiaofeng / Choo, Kim-Kwang Raymond
Illustrationer
86 Illustrations, color; 48 Illustrations, black and white; XIII, 396 p. 134 illus., 86 illus. in co
Dimensioner
234 x 156 x 21 mm
Vikt
577 g
Antal komponenter
1
Komponenter
1 Paperback / softback
ISBN
9783030967901

Security and Privacy in New Computing Environments

4th EAI International Conference, SPNCE 2021, Virtual Event, December 10-11, 2021, Proceedings

Häftad,  Engelska, 2022-03-13
1002
  • Skickas från oss inom 10-15 vardagar.
  • Fri frakt över 249 kr för privatkunder i Sverige.
Finns även som
Visa alla 1 format & utgåvor
This book constitutes the refereed proceedings of the 4thInternational Conference on Security and Privacy in New Computing Environments, SPNCE 2021, held in December 2021. Due to COVID-19 pandemic the conference was held virtually. The 33 full papers were selected from 61 submissions and focus on security and privacy in new computing environments. The theme of SPNCE 2021 was Secure Wireless Communication Systems: Infrastructure, Algorithms, and Management.
Visa hela texten

Passar bra ihop

  1. Security and Privacy in New Computing Environments
  2. +
  3. The Art of Doing Science and Engineering

De som köpt den här boken har ofta också köpt The Art of Doing Science and Engineering av Richard Hamming (inbunden).

Köp båda 2 för 1230 kr

Kundrecensioner

Har du läst boken? Sätt ditt betyg »

Fler böcker av författarna

Innehållsförteckning

Blockchain-based Outsourcing Shared Car Risk Prediction Scheme Design.- Fairness Protection Method of Vickery Auction Based on Smart Contract.- An Improved Needham-Schroeder Session Key Distribution Protocol For In-Vehicle CAN Network.- Research on Two-Party Cooperative Aigis-sig Digital Signature Protocol.- An Efficient Unsupervised Domain Adaptation Deep Learning Model for Unknown Malware Detection.- A Lightweight PSIS Scheme Based on Multi-Node Collaboration in the IoT.- SAD: Website Fingerprint Defense based on Adversarial Examples.- A privacy-aware and time-limited data access control scheme with large universe and public traceability for Cloud-based IoD.- Multi-Party High-Dimensional Related Data Publishing via Probabilistic Principal Component Analysis and Differential Privacy.- ource code vulnerability detection method with multidimensional representation.- A Security Enhanced Verification Framework Based on Device Fingerprint in Internet of Things.- RLPassGAN: Password Guessing Model Based on GAN with Policy Gradient.- Linear Policy Recommender Scheme for Large-Scale Attribute-based Access Control.- Non-interactive Privacy-preserving Naive Bayes Classifier Using Homomorphic Encryption.- BA-Audit: blockchain-based public auditing for aggregated data sharing in edge-assisted IoT.- Predicting Congestion Attack of Variable Spoofing Frequency for Reliable Traffic Signal System.- Threat Detection-Oriented Network Security Situation Assessment Method.- System Business Affecting Impact Analysis Method with Crossover Probability Theory.- RAP: A Lightweight Application Layer Defense against Website Fingerprinting.- FL-iotDP: Differential Private Federated Neural Network.- Analysis of Vulnerability of IPsec Protocol Implementation Based on Differential Fuzzing.- Honeywords Generation Method Based on Deep Learning and Rule-based Password Attack.- Vulnerability Testing on the Key Scheduling Algorithm of PRESENT Using Deep Learning.- GLV/GLS Scalar Multiplication on Twisted Edwards Curves.- Online Privacy of Personal Information Perceptions v Reality.- ARTPHIL: Reversible de-identification of free-text using an integrated model Bayan.- CAFM: Precise Classication for Android Family Malware.