Table of Contents
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Data and Applications Security and Privacy XXXV
Ken Barker, Kambiz Ghazinour |
Front Matter |
Differential Privacy
|
DPNeT: Differentially Private Network Traffic Synthesis with Generative Adversarial Networks
Liyue Fan, Akarsh Pokkunuru |
3-21 |
Comparing Local and Central Differential Privacy Using Membership Inference Attacks
Daniel Bernau, Jonas Robl, Philip Grassal, Steffen Schneider, Florian Kerschbaum |
22-42 |
Preventing Manipulation Attack in Local Differential Privacy Using Verifiable Randomization Mechanism
Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa |
43-60 |
Cryptology I
|
Simple Storage-Saving Structure for Volume-Hiding Encrypted Multi-maps
Jiafan Wang, Sherman Chow |
63-83 |
Nowhere to Leak: A Multi-client Forward and Backward Private Symmetric Searchable Encryption Scheme
Alexandros Bakas, Antonis Michalas |
84-95 |
Distributed Query Evaluation over Encrypted Data
Sabrina de Capitani Di Vimercati, Sara Foresti, Sushil Jajodia, Giovanni Livraga, Stefano Paraboschi, Pierangela Samarati |
96-114 |
Cryptology II
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Multi-party Private Set Operations with an External Decider
Sara Ramezanian, Tommi Meskanen, Valtteri Niemi |
117-135 |
Encrypted-Input Obfuscation of Image Classifiers
Giovanni Crescenzo, Lisa Bahler, Brian Coan, Kurt Rohloff, David Cousins, Yuriy Polyakov |
136-156 |
Preserving Privacy of Co-occurring Keywords over Encrypted Data
D. Siva Kumar, P. Santhi Thilagam |
157-168 |
Machine Learning
|
Access Control Policy Generation from User Stories Using Machine Learning
John Heaps, Ram Krishnan, Yufei Huang, Jianwei Niu, Ravi Sandhu |
171-188 |
Perun: Confidential Multi-stakeholder Machine Learning Framework with Hardware Acceleration Support
Wojciech Ozga, Do Quoc, Christof Fetzer |
189-208 |
PDF Malware Detection Using Visualization and Machine Learning
Ching-Yuan Liu, Min-Yi Chiu, Qi-Xian Huang, Hung-Min Sun |
209-220 |
Deep Learning for Detecting Network Attacks: An End-to-End Approach
Qingtian Zou, Anoop Singhal, Xiaoyan Sun, Peng Liu |
221-234 |
Potpourri I
|
Not a Free Lunch, But a Cheap One: On Classifiers Performance on Anonymized Datasets
Mina Alishahi, Nicola Zannone |
237-258 |
A Rewarding Framework for Crowdsourcing to Increase Privacy Awareness
Ioannis Chrysakis, Giorgos Flouris, Maria Makridaki, Theodore Patkos, Yannis Roussakis, Georgios Samaritakis, Nikoleta Tsampanaki, Elias Tzortzakakis, Elisjana Ymeralli, Tom Seymoens, Anastasia Dimou, Ruben Verborgh |
259-277 |
DUCE: Distributed Usage Control Enforcement for Private Data Sharing in Internet of Things
Na Shi, Bo Tang, Ravi Sandhu, Qi Li |
278-290 |
Potpourri II
|
A Digital Twin-Based Cyber Range for SOC Analysts
Manfred Vielberth, Magdalena Glas, Marietheres Dietz, Stylianos Karagiannis, Emmanouil Magkos, Günther Pernul |
293-311 |
The $${tkl}\hbox {-}\mathrm {Score}$$tkl-Score for Data-Sharing Misuseability
Kalvin Eng, Eleni Stroulia |
312-324 |
Automated Risk Assessment and What-if Analysis of OpenID Connect and OAuth 2.0 Deployments
Salimeh Dashti, Amir Sharif, Roberto Carbone, Silvio Ranise |
325-337 |
Divide-and-Learn: A Random Indexing Approach to Attribute Inference Attacks in Online Social Networks
Sanaz Eidizadehakhcheloo, Bizhan Pijani, Abdessamad Imine, Michaël Rusinowitch |
338-356 |
Access Control
|
Verifiable Hierarchical Key Assignment Schemes
Anna Ferrara, Federica Paci, Chiara Ricciardi |
357-376 |
An ABAC Model with Trust and Gossiping (ABAC–TG) for Online Social Networks
Adi Swissa, Ehud Gudes |
377-392 |
On Feasibility of Attribute-Aware Relationship-Based Access Control Policy Mining
Shuvra Chakraborty, Ravi Sandhu |
393-405 |
