About: AnomalyNET: Anomaly detection enhanced honeypots     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Projekt, within Data Space : linked.opendata.cz:8890 associated with source document(s)

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Description
  • The goal of the project is the study of the use of network behavior analysis (NBA) methods together with the host-based artificial immune system techniques that allow analyzing the behavior of unknown code and classifying it as benign or malign, using the honeypot-based approaches. Our proposal links together two advanced intrusion detection concepts that work on the opposite levels of the scale: network behavior analysis uses the statistical data regarding the structure of network traffic, while the honeypot-based application code analysis executes the suspicious code on the target platform and verifies whether it complies with expected classes of legitimate behavior, learned from the observation of legitimate processes on target platform. (en)
  • Cílem projektu je výzkum metod pro autonomní spolupráci heterogenních detekčních postupů při detekci a analýze škodlivého kódu. Zaměříme se zejména na použití postupů z UI, rozpoznávání a teorie her pro zlepšení kolektivní detekce intruzí.
Title
  • AnomalyNET: Anomaly detection enhanced honeypots (en)
  • Autonomní analýza škodlivého kódu pomocí víceúrovňové detekce anomálií
skos:notation
  • ME10051
http://linked.open...avai/cep/aktivita
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http://linked.open...ep/celkoveNaklady
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http://linked.open...ep/duvernostUdaju
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  • security; artificial intelligence; pattern classification; network monitoring; intrusion detection; coordination and collaboration methodologies (en)
http://linked.open...ep/partnetrHlavni
http://linked.open...inujicichPrijemcu
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  • Our project aims to design a distributed heterogeneous mechanism for detection, analysis and monitoring of new malware. It integrates local analysis based on API calls analysis with Network behavior Analysis techniques in a multi-layered, self-learning feedback system. The system is designed to match the self-modifying malware and similar advanced threats. (en)
  • Projekt se zabývá vývojem distribuovaného detekčního mechanismu proti kybernetickým útokům. Tento mechanismus by měl být schopen samostatně reagovat na změny technik útoků používaných malware, charakterizovat nová rizika pomocí lokálních analytických metod dodaných americkým partnerem a poté zajistit pokrytí sítě pomocí mechanismu detekce anomálií dodaného Katedrou počítačů ČVUT. (cs)
http://linked.open...tniCyklusProjektu
http://linked.open.../cep/klicoveSlovo
  • security
  • artificial intelligence
  • intrusion detection
  • network monitoring
  • pattern classification
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