Thesis Details

Lawful Interception: Identity Detection

Ph.D. Thesis Student: Polčák Libor Academic Year: 2017/2018 Supervisor: Švéda Miroslav, prof. Ing., CSc.
Czech title
Zákonné odposlechy: detekce identity
Language
English
Abstract

{Internet has became a regular communication channel betweenlaw offenders performing malicious activities. Courts or prosecutors authorise lawful interception that targets individual suspects. Lawful interception systems have to identify traffic of the suspects. However, the identifiers that appear in each network packet are short-lived, dynamically assigned, and a single communication session may be split into multiple flows identified by different identifiers. A lawful interception system has to immediately detect that a new identifier covered by an intercept appeared or disappeared. This thesis describes identification in modern computer networks compatible with lawful interception. The focus is on two partial identity detectors: IPv6 address assignment tracking based on monitoring of neighbor discovery and clock-skew-based remote computer identification. Additionally, this thesis proposes identity graphs that link partial identities according to optional constraints that reflect the wording of a warrant. Results of partial identity linking can be utilised by lawful interception systems. The results of this thesis are also applicable in network forensic, and in networks controlled according to user roles.

Keywords

Lawful interception, IPv6 address tracking, neighbor discovery tracking, clock-skew-based fingerprinting, partial identity linkage.

Department
Degree Programme
Computer Science and Engineering, Field of Study Computer Science and Engineering
Files
Status
defended
Date
13 October 2017
Citation
POLČÁK, Libor. Lawful Interception: Identity Detection. Brno, 2017. Ph.D. Thesis. Brno University of Technology, Faculty of Information Technology. 2017-10-13. Supervised by Švéda Miroslav. Available from: https://www.fit.vut.cz/study/phd-thesis/679/
BibTeX
@phdthesis{FITPT679,
    author = "Libor Pol\v{c}\'{a}k",
    type = "Ph.D. thesis",
    title = "Lawful Interception: Identity Detection",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2017,
    location = "Brno, CZ",
    language = "english",
    url = "https://www.fit.vut.cz/study/phd-thesis/679/"
}
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