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Security and Privacy in Communication Networks: 15th EAI International Conference, SecureComm 2019, Orlando, FL, USA, October 23-25, 2019, Proceedings, Part I 2019 ed. [Pehme köide]

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Security and Privacy in Communication Networks: 15th EAI International Conference, SecureComm 2019, Orlando, FL, USA, October 23-25, 2019, Proceedings, Part I 2019 ed.Suurem pilt
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Püsilink: https://www.kriso.ee/db/9783030372279.html

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.

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.