TrustBus’2017 will bring together researchers from different disciplines, developers, and users all interested in the critical success factors of digital business systems. We are interested in papers, work-in-progress reports, and industrial experiences describing advances in all areas of digital business applications related to trust and privacy, including, but not limited to:

• Anonymity and pseudonymity

• Common practices, legal and regulatory issues in digital business

• Delivery technologies and scheduling protocols

• Economics of information systems security and privacy

• Enterprise management and consumer protection

• Intellectual property and digital rights management

• Languages for description of services and contracts

• Models for access control and authentication

• Cryptographic building-blocks for e-business applications

• Business architectures and underlying infrastructures

• Design of business models with security requirements

• Electronic cash, wallets and pay-per-view systems

• Security, privacy and trust in e-services

• Cloud computing security and privacy

• Identity management, identity theft and trust management

• Information audit and trust

• Trust and reputation in digital business environments

• Security and privacy in cyber physical systems

• Methodologies for privacy by design and by default

• Methodologies for privacy impact assessment

• Privacy and Security Patterns

• Security and privacy governance and management

• Intrusion detection and information filtering

• Online transaction processing

• PKI & PMI

• Security of P2P transactions and scenarios

• Security, privacy and trust in real-time Internet e-Services

• Reliability and security of content and data

• Reputation in services provision

• Secure process integration and management

• Reliable auction, e-procurement and negotiation technology

• Transactional Models

• Security, privacy and trust in mobile commerce environments

• Usability of security and privacy technologies and services

• Security and privacy models for pervasive information systems

• Shopping, trading, and contract management tools

• Security and privacy policies

• Multi-factor authentication schemes

• Accountability, Transparency and Intervenability

• Security and privacy in big data systems processing

• Security and privacy of mobile applications