New services and applications for the Telecommunication market

• Cloud-based IP communication services

• Next Generation 9-1-1 (NG9-1-1)

• Browser-integrated IP Communications (WebRTC)

• M2M and Internet of Things

• Programmable networks

• The 5G Network: early proof of concepts, research issues and standardization thrusts

• Mobility and mobile communications

• Heterogeneous Networking

• The use of Blockchains in IP communications networks

• Smart Contracts

Note: Early-stage work on emerging networking protocols for Blockchain-enabled applications, Smart Contracts and other areas of initial research are solicited as work-in-progress papers that show substantive experimental and analytical results and point the way to promising research in new directions. 

Management and Resilience

• Network Function Virtualization (NFV)

• Service Function Chaining (SFC)

• Telecommunications utilizing Information Centric Networks (ICN)

• Quality of Experience (QoE)

• Software Defined Networking (SDN) for IP communications networks

• Scalability, monitoring and management of large-scale IP communication systems.

• Traffic and Quality of Service (QoS) measurement of VoIP traffic.

• Energy consumption and energy management in IP communication systems.

• Benchmarking of large-scale IP communication systems.

• Effects of virtualization on quality of IP communication systems

Security

• Identity management, anonymity and privacy in IP communications

• Security and privacy in IP communications over mobile

• Challenges in end-to-end security in the presence of middleboxes in managed networks

• Identity management, anonymity and privacy in IP communications

• Forensics and diagnostics in IP communication systems

• Overload control and denial of service detection and prevention

• Middleboxes for trust and privacy in Internet communications

• Surveillance and Lawful Interception of IP communications networks

The “Big Data” of IP communications networks

• Making sense of unstructured data in IP communication systems (Slack chats, voice transcripts, tickets generated as a result of support calls etc)

• Big data platforms for understanding communication network patterns (graph, spark etc)

• Machine learning and analytics related to “Big Data” in IP communications networks

• Scalable architectures in analytics for IP communication networks.

• Deep learning and active learning in IP communications networks.

Miscellaneous

• Open source development in IP communications.

• Research issues in vertical IP communication markets (e.g., privacy in the medical field, location in logistical field, etc.)