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Evaluating HORNET
KTH, School of Electrical Engineering and Computer Science (EECS), Communication Systems, CoS, Radio Systems Laboratory (RS Lab). (CCS)
KTH, School of Electrical Engineering and Computer Science (EECS), Communication Systems, CoS, Radio Systems Laboratory (RS Lab). (CCS)
2018 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
Utvärdering av HORNET (Swedish)
Abstract [en]

Anonymity services are an increasingly important platform for anonymity and integrity in today’s society. HORNET anonymity service is a system that enables high-speed anonymous channels by exploiting next-generation network architectures. The purpose of this thesis was to contribute more work on HORNET to the scientific community and to increase the understanding of its performance and scalability. The goal was to identify the system aspects that primarily limit HORNET's scalability and performance. To achieve the goal, a profiling program was used in a quantitative study to estimate the execution time of the different HORNET phases. The results show that HORNET's setup phase primarily limits the scalability of the system, but that it does not affect its performance. The results also show that HORNET's data phase is efficient and scale well.

Abstract [sv]

Anonymitetstjänster är ett allt viktigare plattform för anonymitet och integritet i dagens samhälle. Anonymitetstjänsten HORNET är ett system som möjliggör anonyma höghastighetskanaler genom att utnyttja nästa generations nätverksarkitekturer. Syftet med detta examensarbete var att bidra mer arbete gällande HORNET till det vetenskapliga samfundet samt öka förståelsen för dess prestanda och skalbarhet och prestanda. Målet var att identifiera de systemaspekter som primärt begränsar HORNETs skalbarhet.  För att uppnå målet användes ett profileringsprogram i en kvantitativ studie för att uppskatta exekveringstiden för de olika HORNET-faserna. Resultaten visar att det är HORNETs setup-fas som primärt begränsar systemets skalbarhet, men att den inte påverkar inte dess prestanda. Resultaten visar också att HORNETs data-fas är effektiv och skalar väl.

Place, publisher, year, edition, pages
2018. , p. vi,81
Series
TRITA-EECS-EX ; 2018:598
Keywords [en]
Anonymity, onion routing, performance, network layer
Keywords [sv]
Anonymitet, onion routing, prestanda, nätverkslager
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-235341OAI: oai:DiVA.org:kth-235341DiVA, id: diva2:1250173
Presentation
2018-08-29, Seminar room Grimeton, Kistagången 16, East, Floor 4, Kista, 13:00 (English)
Supervisors
Examiners
Available from: 2018-10-12 Created: 2018-09-21 Last updated: 2018-10-12Bibliographically approved

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