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Security and Privacy in Communication Networks : 16th EAI International Conference, SecureComm 2020, Washington, DC, USA, October 21-23, 2020, Proceedings, Part II / edited by Noseong Park, Kun Sun, Sara Foresti, Kevin Butler, Nitesh Saxena.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering 1867-822X ; 336
- Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 1867-822X ; 336
- Language:
- English
- Subjects (All):
- Data protection.
- Cryptography.
- Data encryption (Computer science).
- Application software.
- Computer networks.
- Computer networks-Security measures.
- Data and Information Security.
- Cryptology.
- Computer and Information Systems Applications.
- Computer Communication Networks.
- Mobile and Network Security.
- Local Subjects:
- Data and Information Security.
- Cryptology.
- Computer and Information Systems Applications.
- Computer Communication Networks.
- Mobile and Network Security.
- Physical Description:
- 1 online resource (XVII, 489 pages) : 164 illustrations, 118 illustrations in color.
- Edition:
- 1st ed. 2020.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2020.
- System Details:
- text file PDF
- Summary:
- This two-volume set LNICST 335 and 336 constitutes the post-conference proceedings of the 16th International Conference on Security and Privacy in Communication Networks, SecureComm 2020, held in Washington, DC, USA, in October 2020. The conference was held virtually due to COVID-19 pandemic. The 60 full papers were carefully reviewed and selected from 120 submissions. The papers focus on the latest scientific research results in security and privacy in wired, mobile, hybrid and ad hoc networks, in IoT technologies, in cyber-physical systems, in next-generation communication systems in web and systems security and in pervasive and ubiquitous computing. .
- Contents:
- A Practical Machine Learning-Based Framework to Detect DNS Covert Communication in Enterprises
- CacheLoc: Leveraging CDN Edge Servers for User Geolocation
- Modeling Mission Impact of Cyber Attacks on Energy Delivery Systems
- Identifying DApps and User Behaviors on Ethereum via Encrypted Traffic
- TransNet: Unseen Malware Variants Detection Using Deep Transfer Learning
- A Brokerage Approach for Secure Multi-Cloud Storage Resource Management
- On the Effectiveness of Behavior-based Ransomware Detection
- PoQ: A Consensus Protocol for Private Blockchains Using Intel SGX Share Withholding in Blockchain Mining
- PEDR: A Novel Evil Twin Attack Detection Scheme Based on Phase Error Drift Range
- Differentially Private Social Graph Publishing for Community Detection
- LaaCan: A Lightweight Authentication Architecture for Vehicle Controller Area Network
- A Machine Learning based Smartphone App for GPS Spoofing Detection
- AOMDroid: Detecting Obfuscation Variants of Android Malware Using Transfer Learning
- ML-Based Early Detection of IoT Botnets
- Post-Quantum Cryptography in WireGuard VPN
- Evaluating the Cost of Personnel Activities in Cybersecurity Management: a Case Study
- SGX-Cube: An SGX-Enhanced Single Sign-On System against Server-side Credential Leakage
- EW256357: A New Secure NIST P-256 Compatible Elliptic Curve for VoIP Applications' Security
- Ucam: A User-Centric, Blockchain-Based and End-to-End Secure Home IP Camera System
- Private Global Generator Aggregation from Different Types of Local Models
- Perturbing Smart Contract Execution through the Underlying Runtime
- Blockchain based Multi-keyword Similarity Search Scheme over Encrypted Data
- Using the Physical Layer to Detect Attacks on Building Automation Networks
- Formalizing Dynamic Behaviors of Smart Contract Workflow in Smart Healthcare Supply Chain
- Malware Classification using Attention-based Transductive Learning Network
- COOB: Hybrid secure device pairing scheme in a hostile environment
- A robust watermarking scheme with high security and low computational complexity
- Selecting Privacy Enhancing Technologies for IoT-Based Services
- Khopesh - Contact Tracing Without Sacrificing Privacy. .
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-63095-9
- 9783030630959
- Access Restriction:
- Restricted for use by site license.
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