Machine Learning Approaches
PAC: Privacy-preserving Arrhythmia Classi cation with neural networks
Ransomware Network Traffic Analysis for Pre-Encryption Alert
Using Machine Learning to Detect Anomalies in Embedded Networks in Heavy Vehicles
Selection and performance analysis of CICIDS2017 features importance
Semantic Representation Based on Deep Learning for Spam Detection
Interpreting Machine Learning Malware Detectors Which Leverage N-gram Analysis
Labelled Network Capture Generation For Anomaly Detection
Attack Prevention and Trustworthiness
Lempel-Ziv Compression with Randomized Input-Output for Anti-Compression Side-Channel Attacks under HTTPS/TLS
Secure Logging with Security against Adaptive Crash Attack
Enroll, and Authentication will Follow: eID-based Enrollment for a Customized, Secure, and Frictionless Authentication Experience
TATIS: Trustworthy APIs for Threat Intelligence Sharing with UMA and CP-ABE
Protecting Android Apps from Repackaging Using Native Code
Access Control Models and Cryptography
Command Dependencies in Heuristic Safety Analysis of Access Control Models
On Attribute Retrieval in ABAC
Incorporating O -Line Attribute Delegation into Hierarchical Group and Attribute-Based Access Control
U-EPS: An Ultra-small and Efficient Post-quantum Signature Scheme
An Efficient Identification Scheme Based on Rank Metric
Security Analysis of Auctionity: a blockchain based e-auction
Dynamic Searchable Encryption with Access Control
Short Papers
Get-your-ID: Decentralized Proof of Identity
Towards secure TMIS protocols
Detecting Ransomware in Encrypted Web Traffic
Digital forensics in vessel transportation systems
A Privacy Protection Layer for Wearable Devices
Validating the DFA Attack Resistance of AES
A rejection-based approach for detecting SQL injection vulnerabilities in Web applications
Lightweight IoT Mutual Authentication Scheme based on Transient Identities a nd Transactions History
Towards Privacy-Aware Smart Surveillance.