Secure IT Systems

Name: Secure IT Systems | 22nd Nordic Conference, NordSec 2017, Tartu, Estonia, November 8-10, 2017, Proceedings
Brand: Springer
Price: 53.49 EUR
Availability: OnlineOnly

22nd Nordic Conference, NordSec 2017, Tartu, Estonia, November 8-10, 2017, Proceedings

Helger Lipmaa Aikaterini Mitrokotsa Raimundas Matulevicius(Editor)

Springer (Publisher)

Published on 3. November 2017

XVIII, 313 pages

E-Book

PDF with digital watermarking

System requirements

978-3-319-70290-2 (ISBN)

€53.49incl. 7% vat

System requirements

for PDF with digital watermarking

E-Book Single Licence

Available for download

Description

More details

Other editions

Content

Intro
Preface
Organization
Abstracts of Invited Talks
Homomorphic Authentication for Computing Securely on Untrusted Machines
Security and Privacy Challenges in Machine Learning
Proof of Stake Blockchain Protocols
Contents
Outsourcing Computations
A Server-Assisted Hash-Based Signature Scheme
1 Introduction
2 Related Work
3 Our Contribution
4 Preliminaries
5 Description of the Scheme
6 Security Proof
7 Practical Considerations
8 Conclusions and Outlook
References
Outsourcing of Verifiable Attribute-Based Keyword Search
1 Introduction
1.1 Our Contribution
1.2 Related Work
2 Preliminaries
3 System Model
4 ABKS Outsourcing Scheme
4.1 Model of ABKS Outsourcing Scheme
4.2 Security Definition of ABKS Outsourcing Scheme
4.3 Our ABKS Outsourcing Scheme
5 VABKS Outsourcing Scheme
5.1 Model of VABKS Outsourcing Scheme
5.2 Security Definition of VABKS Outsourcing Scheme
5.3 Our VABKS Outsourcing Scheme
6 Comparison
7 Conclusion
References
Privacy Preservation
Is RCB a Leakage Resilient Authenticated Encryption Scheme?
1 Introduction
2 Preliminaries and Notions
3 General Overview of RCB
4 Attacks on RCB
4.1 Forgery Attack
4.2 Attacks on Misuse Resistance
4.3 A Denial-of-Service (DoS) Attack
4.4 Attack on Full-Duplex Communication
5 Privacy by RCB
6 Conclusion
References
Practical and Secure Searchable Symmetric Encryption with a Small Index
1 Introduction
1.1 Backgrounds
1.2 Our Contributions
1.3 Related Works
2 Preliminaries
3 Bloom Filter
4 Proposed Scheme
4.1 Constructing an Encrypted Index
4.2 Search Protocol
5 Security Analysis
6 Experimental Results
References
Anonymous Certification for an e-Assessment Framework
1 Introduction
2 Related Work
3 Anonymous Certification (AC) Construction
3.1 Background
3.2 Our Construction
4 E-learning Use Case for PCS
4.1 TeSLA Architecture
4.2 Pseudonymity
4.3 Integrating Anonymous Certification to TeSLA
5 Implementation and Security Details of PCS
5.1 Implementation Details
5.2 Security Level Sketch of Our Proposal
6 Conclusion
References
PARTS -- Privacy-Aware Routing with Transportation Subgraphs
1 Introduction
1.1 Contribution
1.2 Structure
2 Related Work
3 System Model
3.1 Road Network
3.2 Users
3.3 LBS Provider
3.4 Adversary
4 Strategies for Privacy-Enhanced Routing
4.1 Route Parts
4.2 Dummy Traffic
4.3 Time Shift Requests
5 Adversary's Inference Model
5.1 Background Knowledge
5.2 Empirically Improved Guessing
5.3 Privacy Measurement
6 Evaluation
6.1 Dataset and Simulator
6.2 Experimental Setup
6.3 Overhead of Segmented Routes
6.4 Privacy Related Results
6.5 Performance Analysis
7 Discussion
8 Conclusion
References
Security and Privacy in Machine Learning
Bayesian Network Models in Cyber Security: A Systematic Review
1 Introduction
2 Review Methodology
3 Analysis of Standard Bayesian Network Models in Cyber Security
3.1 Citation Details
3.2 Data Sources Used to Construct DAGs and Populate CPTs
3.3 The Number of Nodes Used in the Model
3.4 Type of Threat Actor
3.5 Application and Application Sector
3.6 Scope of Variables
3.7 The Approach(es) Used to Validate Models
3.8 Model Purpose and Type of Purpose
4 Discussion
5 Conclusions and Future Work
References
Improving and Measuring Learning Effectiveness at Cyber Defense Exercises
1 Introduction
2 Learning Measurement Dimensions in CDX's
2.1 5-Timestamp Methodology
2.2 Data Collection and Sources
3 LS17---Learning Measurement
3.1 5-Timestamp Methodology Experience
3.2 Discussion and Findings from LS17 Learning Measurement
4 Related Work in Learning Measurement Context
5 Conclusion
References
Privacy-Preserving Frequent Itemset Mining for Sparse and Dense Data
1 Introduction
2 Preliminaries
2.1 Secure Multiparty Computation
2.2 Notation
2.3 General FIM Algorithms
3 Privacy-Preserving FIM
3.1 Algorithms for Privacy Preserving FIM
3.2 Comparing Bit Matrix and Set Based Approaches
3.3 Combining Dense and Sparse Representations
4 Benchmarks
5 Conclusion
References
Applications
Free Rides in Denmark: Lessons from Improperly Generated Mobile Transport Tickets
1 Introduction
2 Ceremony Description
2.1 Description of Mobilpendlerkort
2.2 Building the Inspection Ceremony
3 Attack Demonstration
3.1 Barcode Analysis
3.2 Primary Screen Forgery
3.3 Extra Zone Ticket Forgery
4 Principles
5 Alternative Inspection Ceremony
6 Related Work
7 Conclusions
References
Using the Estonian Electronic Identity Card for Authentication to a Machine
1 Introduction
2 Card Authentication
2.1 Document Expiration and Revocation Checks
2.2 Card Impersonation
3 Attacks by Malicious Terminals
3.1 Compromising the Cardholder's Privacy
3.2 Denial-of-Service Attacks
3.3 Unauthorized Use of Private Keys
4 Design of ID Card Emulator
4.1 Card ATR Adjustment
4.2 APDU Logging Functionality
4.3 Visual Imitation of ID Card
5 Card Authentication in Practice
6 Discussion: Improvements
6.1 Cloning Prevention
6.2 Cardholder Verification
6.3 Contactless Interface
7 Conclusion
References
Data Aware Defense (DaD): Towards a Generic and Practical Ransomware Countermeasure
1 Introduction
2 Related Work
3 Statistical Tests for Ransomware Attacks Detection
4 Towards a Generic and Practical Ransomware Countermeasure
4.1 File System Activity Monitoring
4.2 Implementation Design
4.3 A Single Indicator of Compromise
5 Experiments: Performance Evaluation
5.1 Disk Performance
5.2 CPU Performance
5.3 Discussion
6 Experiments: Ransomware Detection
6.1 Malware - O - Matic
6.2 Experimental Setup
6.3 Detection Results
6.4 Ransomware-Like Applications
7 Conclusions
References
A Large-Scale Analysis of Download Portals and Freeware Installers
1 Introduction
2 Background
3 Methodology
3.1 Analysis System Overview
3.2 Installer Crawling
4 Results
4.1 Static Properties of the Installers
4.2 Dynamic Analysis of Installers
4.3 App Managers and Software Updates
5 Discussion and Future Work
6 Conclusion
References
Access Control
GPASS: A Password Manager with Group-Based Access Control
1 Introduction
2 Related Work
3 Models and Assumptions
3.1 System Model
3.2 Threat Model
3.3 System Goals
3.4 Security Goals
4 GPASS
4.1 Overview
4.2 Fundamental Operations
5 Security Analysis
6 Extended GPASS
7 Implementation
8 Discussion
9 Conclusion
References
Towards Accelerated Usage Control Based on Access Correlations
1 Introduction
2 The Problem
3 Our Approach: SPEEDAC
3.1 Speculative Pre-computation of Decisions
3.2 Utilization of Access Correlations
3.3 Perceivable Overhead
4 Case Study
5 Enforcement Mechanism
5.1 Design Space
5.2 Design for Effectiveness
5.3 Implementation
6 Performance Evaluation
6.1 Experimental Setup
6.2 Perceivable Overhead
6.3 File-Correlation Effects
7 Related Work
8 Conclusion
References
Emerging Security Areas
Generating Functionally Equivalent Programs Having Non-isomorphic Control-Flow Graphs
1 Introduction
2 Control Flow Graph Transcompilation
2.1 Prerequisites
2.2 Overview of Our Approach
2.3 Contexts
2.4 Node Passivation
2.5 Jumps and Internal Calls
2.6 Routing
3 Control Flow Graph Obfuscation
3.1 Forcing Execution
3.2 Node Hiding
3.3 Route Hiding
4 Security
4.1 Security Against Dynamic Analysis
5 Implementation
6 Conclusion
References
Proof of a Shuffle for Lattice-Based Cryptography
1 Introduction
1.1 Related Work
1.2 Our Contribution
2 Preliminaries
2.1 Ideal Lattices
2.2 RLWE Encryption Scheme
2.3 Zero Knowledge Proofs
2.4 Pedersen Commitments
3 Shuffling Ring-LWE Encryptions
3.1 Protocol Overview
3.2 Proof of Knowledge of Permutation Matrix
3.3 Proof of Knowledge of Small Exponents
3.4 Opening the Commitments
4 Conclusions
References
An Analysis of Bitcoin Laundry Services
1 Introduction to Tumblers
2 Results
2.1 DarkLaunder, Bitlaunder and CoinMixer
2.2 Helix
2.3 Alphabay
3 Conclusions
References
Author Index

System requirements

Save as PDF Copy link into clipboard

Schweitzer Fachinformationen

Secure IT Systems

Description

More details

Other editions

Additional editions

Content

System requirements