Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Proceedings of the Tenth International Conference on Soft Computing and Pattern Recognition (Socpar 2018)

Proceedings of the Tenth International Conference on Soft Computing and Pattern Recognition (Socpar 2018)

Madureira, Ana Maria
Gandhi, Niketa
Abraham, Ajith

Paperback

Series: Advances in Intelligent Systems and Computing, Book 942

Technology & EngineeringGeneral Computers

ISBN10: 3030170640
ISBN13: 9783030170646
Publisher: Springer Nature
Published: Apr 10 2019
Pages: 394
Weight: 1.27
Height: 0.84 Width: 6.14 Depth: 9.21
Language: English
An Efficient and Secure Forward Error Correcting Scheme for DNA Data Storage.- A Blockchain-based Scheme for Access Control in e-Health Scenarios.- Blockchain-based PKI for Crowdsourced IoT Sensor Information.- The Design of a Cloud Forensics Middleware System Base on Memory Analysis.- Privacy Enhancement of Telecom Processes Interacting with Charging Data Records.- Warning of Affected Users About an Identity Leak.- Network Security Evaluation and Training Based on Real World Scenarios of Vulnerabilities Detected in Portuguese Municipalities' Network Devices.- A Novel Concept of Firewall-Filtering Service Based on Rules Trust-Risk Assessment.- A survey of blockchain frameworks and applications.- Filtering Email Addresses, Credit Card Numbers and searching for Bitcoin Artifacts with the Autopsy Digital Forensics Software.- A survey on the use of data points in IDS research.- Cybersecurity and digital forensics - course development in a higher education institution.- Model Driven Architectural Design of Information Security System.- An Automated System for Criminal Police Reports Analysis.- Detecting Internet-Scale Traffic Redirection Attacks using Latent Class Models.- Passive Video Forgery Detection Considering Spatio-Temporal Consistency.

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