Intent-based cybersecurity solutions (trust, privacy, resiliency)
Intent-based cybersecurity solutions (trust, privacy, resiliency)
We (the NCL team of UEssex, UK) have strong expertise in cybersecurity, focusing so far on intrusion detection and mitigation, network resilience to ensure service continuity and system integrity verification using DLT-based solutions.
Examples of our track record in the space include:
- https://www.sciencedirect.com/science/article/pii/S2214209621000942
- https://ieeexplore.ieee.org/document/9119638
- https://ieeexplore.ieee.org/document/8860878
We are interested in participating in B-01-04 to develop security solutions that satisfy user intents for trustworthy privacy-perserving operations. This includes
- trust-aware resource management/orchestration based on user needs and ecosystem constraints
- AI-based decentralised and autonomous detection/mitigation of inter-linked attacks across multiple domains
- Integrity verification protocols using DLT and DID enablers
- service resiliency across multiple domains through multi-resource recovery (network, compute,...)
Complementary, we are an experienced testbed and VPN service provider in research projects, given our digital cloud-to-edge programmble infrastructure, enabled by the Network Convergence Laboratory (NCL). We use this experience to support consortia with testbed capabilities that extend to TRL5, including connecting multiple partners infrastructure to each other.
- STREAM-B-01-04: Reliable Services and Smart Security
- Backhaul solutions
- Cognitive Network Management
- Flexible Network Applications
- High Availability solutions
- Privacy
- Resilience
- Security in 6G networks and services
- Software Networks
Contact
Company: University of Essex
Type of Organisation: University
Country: United Kingdom
Web: https://www.essex.ac.uk/people/alned81405/mays-al-naday
Telephone:
Brief description of my Organisation
The Network Convergence Laboratory (NCL) is one of three research laboratories, part of the larger COMNET group headed by Prof. Martin Reed, University of Essex. The NCL team has a rich research portfolio focusing on future Internet architectures, Fog computing, programmable networks, cybersecurity, multimedia communications systems, communications and networks for 6G and beyond, and the application of machine learning in these areas. NCL also maintains a well-equipped research network testbed that consists of programmable electrical and optical networking technologies and heterogeneous wireless access networking technologies across the University campus and surrounding areas. Over the programmable network, NCL host a hierarchical Fog computing substrate with 100+ heterogenous computing nodes, distributed between a resource capable central cloud and multiple resource constrained edge computing islands. With that, NCL also offers an access network of 40+ nodes, emulating end-users’ usage patterns. NCL is also connected to GENI in USA over a software defined connection. These facilities have been used in various EU and national EPSRC projects, such as EPSRC NIRVANA and TANGO and EU H2020 POINT, iCIRRUS, RECENT and SerIoT.
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