Security and Privacy in Communication Networks

16th EAI International Conference, SecureComm 2020, Washington, DC, USA, October 21-23, 2020, Proceedings, Part II

Häftad, Engelska, 2020

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

554 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

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.

Produktinformation

Utgivningsdatum:2020-12-12
Mått:155 x 235 x 28 mm
Vikt:762 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Antal sidor:489
Förlag:Springer Nature Switzerland AG
ISBN:9783030630942

Utforska kategorier

Referensverk och tvärvetenskap inom Samhälle och politik
Nätverk och kommunikation inom Data och IT
IT-säkerhet inom Data och IT

Innehållsförteckning

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.