Current aspects of research in communications are manifold. Therefore, the Communication Systems Research (CSG) Group at IFI focuses today on the following topics:
Blockchains and Distributed Ledgers
The goal of this working area has been set to investigate, evaluate, and apply the blockchain technology for communications, distributed applications, and new business cases. As such, the various different set of functions, applications, and stakeholders being involved in the smart contract arena (considered as the core of a blockchain) are put into interrelated technical, economic, and legal perspectives. Thus, applications have been designed and implemented, systems have been architectured and trialed, and mechanisms are being developed to show the innovation as well as limitations of the blockchain technology today.
Current Projects: FLAMINGO, AbaCUS, ACROSS, Hive2Hive, Coinblesk
Past Projects: SmoothIT, EcoNets,Econ@Tel, SESERV
Current Projects:SmartenIT,FLAMINGO, AbaCUS, ACROSS, Hive2Hive, Coinblesk
Past Projects:SmoothIT, EMANICS, EC-GIN, EcoNets DaSAHIT, SESERV, Econ@Tel
Charging and Quality-of-Service (QoS)/Quality-of-Experience (QoE)
Current Projects: SmartenIT,FLAMINGO, AbaCUS, ACROSS
Past Projects: COST 290, Daidalos II, AMAAIS
Internet of Things - Wireless Sensor Networks and Security
Current Projects: SecureWSN, FLAMINGO, SmartenIT, parkITsmart
Overlay Networks and Systems
Current Projects: TomP2P, SmartenIT,FLAMINGO
Past Projects: PeerMart, EC-GIN, DaSAHIT, CoopSC,LiveShift
Past Projects: DAMMO II, Akogrimo, PeerMart, EC-GIN, DaSAHIT, SCRIPT, SESERV, AMAAIS
Supporting Networking Mechanisms for Grids
Past Projects: Akogrimo, BEinGRID, EC-GIN
Biometric Access Control
Past Projects: BioLANCC, BioXes
Further Research Activities and Results
- CSG-developed software, systems, and tools can be accessed at CSG software, systems, tools.
- CSG provides a number of services and testbed infrastructures in support of research and other activities.
- CSG Seminar for Doctoral Students
- Fast Similarity Search (FastSS) performs an exhaustive similarity search in a dictionary, based on the edit distance model of string similarity.