Computer Security – ESORICS 2020

25th European Symposium on Research in Computer Security, ESORICS 2020, Guildford, UK, September 14–18, 2020, Proceedings, Part I

AvLiqun Chen,Ninghui Li

Häftad, Engelska, 2020

Del 12308 i serien Lecture Notes in Computer Science

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Beskrivning

The two volume set, LNCS 12308 + 12309, constitutes the proceedings of the 25th European Symposium on Research in Computer Security, ESORICS 2020, which was held in September 2020. The papers were organized in topical sections named: database and Web security; system security; network security; software security; machine learning security;

Produktinformation

Utgivningsdatum:2020-09-12
Mått:155 x 235 x 42 mm
Vikt:1 171 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:760
Förlag:Springer Nature Switzerland AG
ISBN:9783030589509

Utforska kategorier

Nätverk och kommunikation inom Data och IT
Hårdvara inom Data och IT
Tillämpad datateknik inom Data och IT

Innehållsförteckning

Database and Web Security.- Pine: Enabling Privacy-Preserving Deep Packet Inspection on TLS with Rule-Hiding and Fast Connection Establishment.- Bulwark: Holistic and Verified Security Monitoring of Web Protocols.- A Practical Model for Collaborative Databases: Securely Mixing, Searching and Computing.- Software Security.- Follow the blue bird: A study on threat data published on Twitter.- Dynamic and Secure Memory Transformation in Userspace.- Understanding the Security Risks of Docker Hub.- DE-auth of the blue! Transparent De-authentication using Bluetooth Low Energy Beacon.- Software Security.- Similarity of Binaries across Optimization Levels and Obfuscations.- HART: Hardware-assisted Kernel Module Tracing on Arm.- Zipper Stack: Shadow Stacks Without Shadow.- Restructured Cloning Vulnerability Detection Based on Function Semantic Reserving and Reiteration Screening.- LegIoT: Ledgered Trust Management Platform for IoT.- Machine Learning Security.- PrivColl: Practical Privacy-Preserving Collaborative Machine Learning.- An Efficient 3-Party Framework for Privacy-Preserving Neural Network Inference.- Deep Learning Side-Channel Analysis on Large-Scale Traces - A Case Study on a Polymorphic AES.- Towards Poisoning the Neural Collaborative Filtering-Based Recommender Systems.- Machine Learning Security.- Data Poisoning Attacks Against Federated Learning Systems.- Interpretable Probabilistic Password Strength Meters via Deep Learning.- Polisma - A Framework for Learning Attribute-based Access Control Policies.- A Framework for Evaluating Client Privacy Leakages in Federated Learning.- Network Security.- An Accountable Access Control Scheme for Hierarchical Content in Named Data Networks with Revocation.- PGC: Decentralized Con dential Payment System with Auditability.- Secure Cloud Auditing with Efficient Ownership Transfer.- Privacy.- Encrypt-to-self: Securely Outsourcing Storage.- PGLP: Customizable and Rigorous Location Privacy through Policy Graph.- Where are you Bob? Privacy-Preserving Proximity Testing with a Napping Party.- Password and Policy.- Distributed PCFG Password Cracking.- Your PIN Sounds Good! Augmentation of PIN Guessing Strategies Through Audio Leakage.- GDPR - Challenges for Reconciling Legal Rules with Technical Reality.