2018 Fourteenth International Conference on Information Processing (ICINPRO)

Topics of interest include (but are not limited to) the following, in the context of Information Processing.
 

Track 1: INTERNET OF THINGS

• IoT Architecture,
• Cyber Physical Social Systems,
• Green IoT,
• Networking,
• Smart Cities,
• Connected Living,
• Developing IoT Technologies,
• Connected Services,
• Wearables,
• Energy, Environment & Agriculture,
• Smart Home,
• Startups,
• Connected Industry,
• Automotive,
• Healthcare, Asset and Fleet Management,
• Manufacturing,
• Retail Point Of Sales,
• Smart Grid,
• Smart Metering,
• Consumer Electronics Industry,
• IoT Solutions for Industries and Use Cases in Dedicated Areas: Manufacturing, Transportation & Logistics, Healthcare, Retail, Smart Cities, Agriculture & Security, and Operability & Standards,
• Industrial IoT Segments,
• IoT Standards,
• Accelerating Development/Deployment,
• Change Management,
• Designing Applications,
• Enablers,
• Industrial IoT,
• Enterprise Adoption of Internet of Things (IoT),
• Machine-To-Machine (M2M) Technology,
• Monetizing the Industrial Internet,
• Changing Business Models,
• Developing Secure Ecosystems,
• IoT Enterprise Operations,
• IoT Pricing Models,
• Edge Routing,
• Field Operations,
• Gateway Architectures for IoT Applications,
• IoT Solutions For the Enterprise; Remote Monitoring, Supply Chain and Logistics,
• Integrating the IoT into Enterprise IT Architecture,
• Inventory Management,
• IoT and New Product/Service Development,
• Connected Life and Work,
• Smart Energy, HVAC Monitoring and Management,
• Agriculture and Farming Applications,
• Building Apps and Solutions,
• Autonomous Autos and New Transportation Models,
• Location Maps and New Marketing Models,
• Open Source Development for IoT,
• Rapid Prototyping with Open Devices,
• Java Embedded,
• Mobile Devices: Transmitting With and Without Interruption,
• Web Services and IoT Integration,
• Open Hardware and Open Source Development: Gigabones, Raspberry Pi,
• Augmented and Virtual Reality,
• Developing for Verticals; Smart Home, Wellness, Connected Care Applications,
• Distributed Networks,
• Dynamic Spectrum,
• Spatial Analysis,
• Hybrid Cloud Processing,
• Identity Management,
• Low Power Wide Area Networks,
• LTE For IoT,
• Building IoT Platforms for Third Party Use,
• Routing Protocols for low power and lossy networks (RPL) in IoT,

Track 2: DATA SCIENCE

• Data Governance,
• Data Analytics,
• Business Intelligence and Machine Learning,
• Process Driven Decision Making,
• Predictive Analytics,
• Prescriptive Analytics,
• Business Intelligence and Compliance,
• Machine Learning,
• Getting IoT Data to Smart Phones and Tablets,
• Defining Data Strategies,
• Big Data,
• Distributed Databases,
• Real Time Business Intelligence,
• Cognitive IoT,
• Human Device Interaction for IoT,
• Data Mining,
• Data Visualization,
• Data Compression,
• Social Network Data Analytics,
• Social Computing,
• Web Analytics and Intelligence,
• Predictive Analysis for Business and Healthcare,
• Deployment of Data Science Solutions in Industry,
• Swarm Intelligence,
• Business Transformation.

Track 3: INTERNET COMPUTING

• Edge Computing,
• Cloud Computing,
• Mobile Computing,
• Service Oriented Architecture( SoA ),
• Service Oriented Computing,
• Web Services,
• Mobile Cloud Computing,
• Fog Computing.

Track 4: SECURITY

• IoT Security,
• IoT Gateway Solutions,
• Connected, Smart and Secure Systems,
• Remote Systems and Security,
• Privacy and Security,
• Understanding Data Privacy and Security Issues,
• Authentication and Security,
• Platforms and Portability,
• Cryptographic Techniques,
• Cyber Security and Malware Protection,
• Data and Application Security,
• Data Privacy and Security,
• Network Security,
• Biometric Security,
• Security Management,
• Security Tools and Development,
• Detection, prevention, response and mitigation of cyber threats to IoT,
• Security protocols in IoT,
• Risk analysis and management for IoT infrastructures,
• Threat modeling in IoT,
• Firewall, access control, identity management,
• Experiments of using security solutions and proof-of-concepts,
• Large-scale simulations in the Internet of Things,
• Intrusion detection and prevention techniques,
• Social engineering and ethical hacking: techniques and case studies,
• Software engineering for security modeling, business process modeling and analytics,
• Data security, data recovery, disaster recovery,
• Adoption challenges and recommendation,
• Cryptography,
• Ensuring the resilience and security of IoT dependent infrastructures,
• Vulnerabilities and counter measures.