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Security in networks of unmanned aerial vehicles for surveillance with an agent-based approach inspired by the principles of blockchain
Unmanned aerial vehicles (UAVs) can support surveillance even in areas without network infrastructure. However, UAV networks raise security challenges because of its dynamic topology. This paper proposes a technique for maintaining security in UAV networks in the context of surveillance, by corroborating information about events from different sources. In this way, UAV networks can conform peer-to-peer information inspired by the principles of blockchain, and detect compromised UAVs based on trust policies. The proposed technique uses a secure asymmetric encryption with a pre-shared list of official UAVs. Using this technique, the wrong information can be detected when an official UAV is physically hijacked. The novel agent based simulator ABS-SecurityUAV is used to validate the proposed approach. In our experiments, around 90% of UAVs were able to corroborate information about a person walking in a controlled area, while none of the UAVs corroborated fake information coming from a hijacked UAV
Will SDN be part of 5G?
For many, this is no longer a valid question and the case is considered
settled with SDN/NFV (Software Defined Networking/Network Function
Virtualization) providing the inevitable innovation enablers solving many
outstanding management issues regarding 5G. However, given the monumental task
of softwarization of radio access network (RAN) while 5G is just around the
corner and some companies have started unveiling their 5G equipment already,
the concern is very realistic that we may only see some point solutions
involving SDN technology instead of a fully SDN-enabled RAN. This survey paper
identifies all important obstacles in the way and looks at the state of the art
of the relevant solutions. This survey is different from the previous surveys
on SDN-based RAN as it focuses on the salient problems and discusses solutions
proposed within and outside SDN literature. Our main focus is on fronthaul,
backward compatibility, supposedly disruptive nature of SDN deployment,
business cases and monetization of SDN related upgrades, latency of general
purpose processors (GPP), and additional security vulnerabilities,
softwarization brings along to the RAN. We have also provided a summary of the
architectural developments in SDN-based RAN landscape as not all work can be
covered under the focused issues. This paper provides a comprehensive survey on
the state of the art of SDN-based RAN and clearly points out the gaps in the
technology.Comment: 33 pages, 10 figure
Max-Min Fair Resource Allocation in Millimetre-Wave Backhauls
5G mobile networks are expected to provide pervasive high speed wireless
connectivity, to support increasingly resource intensive user applications.
Network hyper-densification therefore becomes necessary, though connecting to
the Internet tens of thousands of base stations is non-trivial, especially in
urban scenarios where optical fibre is difficult and costly to deploy. The
millimetre wave (mm-wave) spectrum is a promising candidate for inexpensive
multi-Gbps wireless backhauling, but exploiting this band for effective
multi-hop data communications is challenging. In particular, resource
allocation and scheduling of very narrow transmission/ reception beams requires
to overcome terminal deafness and link blockage problems, while managing
fairness issues that arise when flows encounter dissimilar competition and
traverse different numbers of links with heterogeneous quality. In this paper,
we propose WiHaul, an airtime allocation and scheduling mechanism that
overcomes these challenges specific to multi-hop mm-wave networks, guarantees
max-min fairness among traffic flows, and ensures the overall available
backhaul resources are fully utilised. We evaluate the proposed WiHaul scheme
over a broad range of practical network conditions, and demonstrate up to 5
times individual throughput gains and a fivefold improvement in terms of
measurable fairness, over recent mm-wave scheduling solutions
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