Security and Privacy in Communication Networks

15th EAI International Conference, SecureComm 2019, Orlando, FL, USA, October 23-25, 2019, Proceedings, Part I

Häftad, Engelska, 2019

Del 304 i serien Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Beskrivning

This two-volume set LNICST 304-305 constitutes the post-conference proceedings of the 15thInternational Conference on Security and Privacy in Communication Networks, SecureComm 2019, held in Orlando, FL, USA, in October 2019.The 38 full and 18 short papers were carefully reviewed and selected from 149 submissions. The papers are organized in topical sections on blockchains, internet of things, machine learning, everything traffic security communicating covertly, let’s talk privacy, deep analysis, systematic theory, bulletproof defenses, blockchains and IoT, security and analytics, machine learning, private, better clouds, ATCS workshop.

Produktinformation

Utgivningsdatum:2019-12-13
Mått:155 x 235 x 33 mm
Vikt:908 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Antal sidor:587
Förlag:Springer Nature Switzerland AG
ISBN:9783030372279

Utforska kategorier

Nätverk och kommunikation inom Data och IT
Informationsteknik: allmänt inom Data och IT
Hårdvara inom Data och IT

Innehållsförteckning

Trustless Framework for Iterative Double Auction based on Blockchain.- Towards a Multi-Chain Future of Proof-of-Space.- Secure Consistency Verification for Untrusted CloudStorage by Public Blockchains.- 4 An Enhanced Verifiable Inter-domain Routing Protocol based on Blockchain.- Edge-Assisted CNN Inference over Encrypted Data forInternet of Things.- POKs Based Secure and Energy-Efficient Access Control for Implantable Medical Devices.- USB-Watch: A Dynamic Hardware-Assisted USB ThreatDetection Framework.- Automated IoT Device Fingerprinting Through Encrypted Stream Classification.- Catching Malware.-DeepCG: Classifying Metamorphic Malware through Deep Learning of Call Graphs.- ChaffyScript: Vulnerability-Agnostic Defense of JavaScript Exploits via Memory Perturbation.-Obfusifier: Obfuscation-Resistant Android Malware Detection System.- Closing the Gap with APTs through Semantic Clusters and Automated CybergamesMachine Learning.- Stochastic ADMM Based Distributed Machine Learning with Differential Privacy.- Topology-Aware Hashing for Effective Control Flow GraphSimilarity Analysis.- Trojan Attack on Deep Generative Models in Autonomous Driving.- FuncNet: A Euclidean Embedding Approach forLightweight Cross-platform Binary Recognition Everything Traffic Security.- Towards Forward Secure Internet Traffic.- Traffic-based Automatic Detection of BrowserFingerprinting.- Measuring Tor Relay Popularity.- SoK: ATT&CK Techniques and Trends in Windows.- MalwareCommunicating Covertly.- Covert Channels in SDN: Leaking Out Information from Controllers to End Hosts.- Victim-Aware Adaptive Covert Channels.-Random Allocation Seed-DSSS Broadcast Communication against Jamming Attacks.- Loss-tolerant Mechanism of Message Segmentation and Reconstruction in Multi-path Communication ofAnti-tracking Network.- Ticket Transparency: Accountable Single Sign-On with Privacy-Preserving Public Logs.- Decentralized Privacy-Preserving Reputation Managementfor Mobile Crowdsensing.- Location Privacy Issues in the OpenSky Network Crowdsourcing Platform.- Privacy-Preserving Genomic Data Publishing viaDifferentially-Private Suffix Tree.- Deep Analytics.- TL;DR Hazard: A Comprehensive Study of Levelsquatting Scams.-Account Lockouts: Characterizing and Preventing Account Denial-of-Service Attacks.- Application Transiency: Towards a Fair Trade of Personal Information for Application Services.