14th International Conference of Security, Privacy and Trust Management (SPTM 2026)

Program Committee

Accepted Papers

Toronto, Canada

Scope

The 14^th International Conference of Security, Privacy and Trust Management (SPTM 2026) provides a premier global forum for researchers, practitioners, and industry experts to present the latest innovations, research findings, and emerging trends in security, privacy, and trust technologies. As digital ecosystems continue to expand across cloud platforms, mobile environments, distributed systems, and AI driven infrastructures, the need for robust trust frameworks and secure computing models has never been greater.

Call for Papers

SPTM 2026 aims to bring together leading scholars and professionals to exchange ideas, discuss challenges, and explore cutting edge solutions that advance the state of the art in trust management, privacy engineering, cybersecurity, and secure system design. The conference encourages interdisciplinary contributions that bridge theory and practice, highlight real world applications, and address the evolving landscape of modern security threats and trust requirements.

Authors are invited to submit high quality research papers describing original results, innovative projects, survey studies, and industrial experiences that demonstrate significant advances in security, privacy, and trust management. Submissions may address theoretical foundations, practical implementations, experimental evaluations, or emerging applications.

Topics of interest include, but are not limited to, the following

Trust Management, Identity and Access Control

Trust Models, Trust Negotiation and Trust Reasoning
Decentralized Trust Management and Zero Trust Architectures
Identity and Access Management (IAM), Authentication and Authorization
Continuous Authentication and Identity Threat Detection
Trust in Cloud Native, Multi Cloud and Distributed Systems
Trust and Reputation Systems for Online Platforms
Trust in Microservices, APIs and Service Oriented Architectures
Trust Management for IoT, Edge, Mobile and Sensor Networks
Cross Platform Digital Identity Trust and Verifiable Credentials

Privacy Engineering and Data Protection

Privacy Preserving Machine Learning (PPML)
Differential Privacy, Secure Aggregation and Federated Learning
Privacy Enhancing Technologies (PETs)
Data Anonymization, De identification and Synthetic Data Privacy
Privacy in Social Platforms, Digital Ecosystems and Online Communities
Privacy by Design, Governance and Compliance Automation
Geo Distributed Data Privacy and Cross Border Data Trust
Privacy in Cloud, Edge and Distributed Intelligence Systems

Security Engineering and System Protection

Secure Software Development Lifecycle (SSDLC)
Vulnerability Discovery, Exploit Mitigation and Secure Coding
Software Supply Chain Security and SBOM Management
Secure DevOps (DevSecOps) and Continuous Security Testing
Security of Cloud, Serverless, Container and Kubernetes Environments
Security for IoT, CPS, Autonomous Systems and Robotics
Hardware Security, TEEs, Side Channel Attacks and Defenses
Chaos Engineering, Resilience Testing and Self Healing Systems
Autonomous Cyber Defense Agents

Cryptography, Blockchain and Distributed Trust

Applied Cryptography and Cryptographic Protocols
Blockchain Security, Smart Contract Verification and Web3 Trust Models
Distributed Ledger Technologies (DLT) and Consensus Security
Zero Knowledge Proofs, MPC and Homomorphic Encryption
Decentralized Identity (DID) and Verifiable Credentials
Post Quantum Cryptography and Quantum Resistant Trust Frameworks
Quantum Networks, QKD and Quantum Trust Models

AI, Machine Learning and Trustworthy Intelligence

Adversarial Machine Learning and Model Robustness
AI Safety, Alignment and Secure AI Pipelines
Trustworthy AI, Explainability and Accountability
Detection of Deepfakes, Synthetic Media and AI Generated Threats
AI Driven Threat Detection, Security Analytics and Anomaly Detection
Trust Management in Multi Agent and Autonomous AI Systems
Secure LLM Deployment, Jailbreak Prevention and Policy Enforcement
AI Generated Content Provenance, Watermarking and Authenticity Verification
Trust in Multimodal Foundation Models (Vision LLMs, Audio LLMs, Video LLMs)

Network, Cloud and Distributed Security

Network Security, Intrusion Detection and Traffic Analysis
Cloud Security, Virtualization Security and Multi Cloud Trust
Secure Edge Computing, Fog Computing and Distributed Intelligence
Secure Communication Protocols and End to End Encryption
5G/6G Security, Mobile Network Trust and Spectrum Security
DNS Security, Routing Security and Internet Infrastructure Trust
Secure Federated Knowledge Graphs and Distributed Trust Reasoning

Human Centered Security, Usability and Social Trust

Human Factors in Security and Privacy
Social Engineering, Phishing and Behavioral Security
Trust in Social Networks, Online Communities and Digital Platforms

Usable Security and Privacy Interfaces
Misinformation, Disinformation and Trust in Digital Media
Psychological Models of Trust and Risk Perception
Human Machine Trust Calibration and Cognitive Security

Policy, Governance, Ethics and Regulation

Security and Privacy Policy Management
Governance, Risk and Compliance (GRC)
Ethical AI, Responsible Data Use and Algorithmic Governance
Legal, Regulatory and Societal Aspects of Security and Privacy
Digital Trust Frameworks and Global Trust Standards
Cyber Diplomacy and International Trust Agreements

Emerging Domains and Future Directions

Security and Trust in Metaverse, AR/VR and Immersive Environments
Trust in Digital Twins, Simulation Driven Systems and Cyber Physical Twins
Security for Autonomous Vehicles, Drones and Smart Mobility
Space Systems Security, Satellite Swarm Trust and Orbital Mesh Networks
Bio Cybersecurity and Trust in Genomic Data Ecosystems
Security for AI Operated Infrastructure (Power Grids, ICS, Smart Cities)
Synthetic Data Security, Leakage Risks and Trust Evaluation
Trust in AI Driven Autonomous Infrastructure and Cloud Orchestration
AI Safety, Alignment and Secure AI Pipelines
Trustworthy AI, Explainability and Accountability
Detection of Deepfakes, Synthetic Media and AI Generated Threats
AI Driven Threat Detection, Security Analytics and Anomaly Detection
Trust Management in Multi Agent and Autonomous AI Systems
Secure LLM Deployment, Jailbreak Prevention and Policy Enforcement
AI Generated Content Provenance, Watermarking and Authenticity Verification
Trust in Multimodal Foundation Models (Vision LLMs, Audio LLMs, Video LLMs)

Network, Cloud and Distributed Security

Network Security, Intrusion Detection and Traffic Analysis
Cloud Security, Virtualization Security and Multi Cloud Trust
Secure Edge Computing, Fog Computing and Distributed Intelligence
Secure Communication Protocols and End to End Encryption
5G/6G Security, Mobile Network Trust and Spectrum Security
DNS Security, Routing Security and Internet Infrastructure Trust
Secure Federated Knowledge Graphs and Distributed Trust Reasoning

Human Centered Security, Usability and Social Trust

Human Factors in Security and Privacy
Social Engineering, Phishing and Behavioral Security
Trust in Social Networks, Online Communities and Digital Platforms
Usable Security and Privacy Interfaces
Misinformation, Disinformation and Trust in Digital Media
Psychological Models of Trust and Risk Perception
Human Machine Trust Calibration and Cognitive Security

Policy, Governance, Ethics and Regulation

Security and Privacy Policy Management
Governance, Risk and Compliance (GRC)
Ethical AI, Responsible Data Use and Algorithmic Governance
Legal, Regulatory and Societal Aspects of Security and Privacy
Digital Trust Frameworks and Global Trust Standards
Cyber Diplomacy and International Trust Agreements

Emerging Domains and Future Directions

Security and Trust in Metaverse, AR/VR and Immersive Environments
Trust in Digital Twins, Simulation Driven Systems and Cyber Physical Twins
Security for Autonomous Vehicles, Drones and Smart Mobility
Space Systems Security, Satellite Swarm Trust and Orbital Mesh Networks
Bio Cybersecurity and Trust in Genomic Data Ecosystems
Security for AI Operated Infrastructure (Power Grids, ICS, Smart Cities)
Synthetic Data Security, Leakage Risks and Trust Evaluation
Trust in AI Driven Autonomous Infrastructure and Cloud Orchestration

Paper Submission

Authors are invited to submit papers through the conference Submission System by June 13, 2026. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

Selected papers from SPTM 2026, after further revisions, will be published in the special issue of the following journal.

Important Dates

Second Batch : Submissions after May 11, 2026

Submission Deadline

June 13, 2026

Authors Notification

July 12, 2026

Registration & camera - Ready Paper Due

July 18, 2026

Other Conferences

Past Events

Invited Talk

Proceedings

Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC Digital Library

Welcome to SPTM 2026