New Design of Intrusion Prevention System for aerial fleets

TOULOUSE TECH TRANSFER



04 Mars 2020

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Fields

Engineering NICT

Sectors

Aerospace & Defence
Automotive & Transportation
Electronics & Security
NICT

DESCRIPTION

Our technology is a methodology for detecting and preventing intrusions which can operate in real complex environments (such as air transport or UAV fleets). It is composed of three stages: detection, decision making and prevention

  • Intrusion detection is achieved through studying the signature of network. It is based on Wavelet Leader Multifractal Analysis and signature recognition
  • Decisions are made to maximize the Quality of Service of the network under various types of attacks. Decisions are made upon the results from the signature recognition
  • As patent application is pending, so far, no information can be given on the prevention system. This technology is efficient on wireless ad-hoc networks
    (i.e.: networks with evolutive topology) and enables the detection of 0-Day attacks

 

APPLICATIONS

  • Air Traffic Management (ATM) / ADS-C
  • UAV Traffic Management (UTM)
  • Drones/Robots Swarm
  • Autonomous Vehicles
  • IoT and Industry 4.0
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