PhD Symposium -- Staking Assets Management on Blockchains: Vision and Roadmap -- Hybrid Context aware method for quality assessment of data streams -- Container-Based Network Architecture for Mobility, Energy and Security Management as a Service in IoT Environments -- Towards a Rule-based Recommendation Approach for Business Process Modeling -- Towards a Privacy Conserved and Linked OpenData Based Device Recommendation in IoT -- Learning Performance Models Automatically -- Formal Foundations for Intel SGX Data Center Attestation Primitives -- Blockchain-Based Business Processes: A Solidity-to-CPN Formal Verification Approach -- Formal Quality of Service analysis in the Service Selection problem -- Software Demonstrations -- A Crowdsourcing-Based Knowledge Graph Construction Platform -- Data Interaction for IoT-Aware Wearable Process Management -- SiDD: The Situation-Aware Distributed Deployment System -- AuraEN: Autonomous Resource Allocation for Cloud-hosted Data Processing Pipelines -- AIOps 2020 -- Performance Diagnosis in Cloud Microservices using Deep Learning -- Anomaly Detection at Scale: The Case for Deep Distributional Time Series Models -- A Systematic Mapping Study in AIOps -- An Influence-based Approach for Root Cause Alarm Discovery in Telecom Networks -- Localization of operational faults in cloud applications by mining causal dependencies in logs using Golden Signals -- Pre-training Language Models for IT Operations -- Towards Runtime Verification via Event Stream Processing in Cloud Computing Infrastructures -- Decentralized Federated Learning Preserves Model and Data Privacy -- Online Memory Leak Detection in the Cloud-based Infrastructures -- Multi-Source Anomaly Detection in Distributed IT Systems -- TELESTO: A Graph Neural Network Model for Anomaly Classification in Cloud Services -- Discovering Alarm Correlation Rules for Network Fault Management -- Resource Sharing in Public Cloud System with Evolutionary Multi-agent Artificial Swarm Intelligence -- SLMAD: Statistical Learning-Based Metric Anomaly Detection -- Software Reliability Engineering for Resilient Cloud Operations -- AI-PA 2020 -- The Future of Robotic Process Automation (RPA) -- Adaptive Summaries: A Personalized Concept-based Summarization Approach by Learning from Users' Feedback -- TAP: A Two-Level Trust and Personality-aware Recommender System -- Am I Rare? An Intelligent Summarization Approach for Identifying Hidden Anomalies -- On how Cognitive Computing will plan your next Systematic Review -- Security Professionals' Skills Representation for Bug Bounty Programs -- Stage-Based Process Performance Mining -- AudioLens: Audio-Aware Video Recommendation for Mitigating New Item Problem -- Scalable Online Conformance Checking Using Incremental Prefix-Alignment Computation -- Bringing Cognitive Augmentation to Web Browsing Accessibility -- Towards Knowledge-Driven Automatic Service Composition for Wildfire Prediction -- Eyewitness Prediction During Crisis via Linguistic Features -- STRAPS 2020 -- On the definition of Data Regulation Risk -- Classifying Micro-Text Document Datasets: Application to Crisis-Related Tweets -- Data Centred and Usage-based Security service -- XYZ Monitor: IoT Monitoring of Infrastructures using Microservices -- Multi-cloud Solution Design for Migrating a Portfolio of Applications to the Cloud -- Higher Order Statistical Analysis in Multiresolution Domain - Application to Breast Cancer Histopathology -- Ontology Evolution using Recoverable SQL Logs -- AI-IOTS 2020 -- A Novel Automated System for Hospital Acquired Infection Monitoring and Prevention -- A novel approach for detecting IoT Botnet using balanced network traffic attributes -- KMeans Kernel- Learning based AI-IoT framework for plant leaf disease detection -- System for Monitoring and Control of Vehicle's Carbon Emissions Using Embedded Hardwares and Cloud Applications -- CFTIC 2020 -- An Information Retrieval-based Approach to Activity Recognition in Smart Homes -- Botnet sizes: when maths meet myths -- Cyber Security Education and Future Provision -- Efficient Threat Hunting Methodology for Analyzing Malicious Binaries in Windows Platform -- Peer-to-peer application threat investigation.

This book constitutes revised and selected papers from the scientific satellite events held in conjunction with the18th International Conference on Service-Oriented Computing, ICSOC 2020. The conference was held virtually during December 14-17, 2020. A total of 125 submissions were received for the satellite events. The volume includes 9 papers from the PhD Symposium Track, 4 papers from the Demonstration Track, and 45 papers from the following workshops: International Workshop on Artificial Intelligence for IT Operations (AIOps) International Workshop on Cyber Forensics and Threat Investigations Challenges in Emerging Infrastructures (CFTIC 2020) 2nd Workshop on Smart Data Integration and Processing (STRAPS 2020) International Workshop on AI-enabled Process Automation (AI-PA 2020) International Workshop on Artificial Intelligence in the IoT Security Services (AI-IOTS 2020) .