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”.

Produktinformation

Utgivningsdatum2022-03-13
Mått155 x 235 x 23 mm
Vikt622 g
FormatHäftad
SpråkEngelska
SerieLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Antal sidor396
FörlagSpringer Nature Switzerland AG
ISBN9783030967901

Tillhör följande kategorier

Tillämpad datateknik inom Data och it
Hårdvara inom Data och it
Nätverk och kommunikation inom Data och it
IT-säkerhet inom Data och it

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.

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Produktinformation

Utgivningsdatum2022-03-13
Mått155 x 235 x 23 mm
Vikt622 g
FormatHäftad
SpråkEngelska
SerieLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Antal sidor396
FörlagSpringer Nature Switzerland AG
ISBN9783030967901

Tillhör följande kategorier

Tillämpad datateknik inom Data och it
Hårdvara inom Data och it
Nätverk och kommunikation inom Data och it
IT-säkerhet inom Data och it

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.