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Computer Identification Using Time Information
Jirásek, Jakub ; Grégr, Matěj (referee) ; Polčák, Libor (advisor)
This work deals with the identification of a remote computer by monitoring TCP timestamps of the tracked device. It is possible to determine computer's clock skew from these timestamps as the clock skew is unique for every device. We are able to differentiate devices even though they have changed location, network address or connection type. Passive data capturing ensures that the identification process is invisible to the fingerprinted computer. It is necessary that the network communication of fingerprinted computer is visible to the observing device. We are able to utilise only TCP traffic with timestamps enabled.
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Computer Identification Using JavaScript Timestamps
Jireš, Michal ; Večeřa, Vojtěch (referee) ; Polčák, Libor (advisor)
This thesis deals with remote computer identification based on its internal clock skew. This clock skew will be determined using JavaScript timestamps. The goal of this thesis is to create web page, that will use clock skew to identify computer. This web page will also be used to test time distortion capabilities of browser extension JavaScript Restrictor. Web page will try to identify computer using different security presents thus testing their efficiency.
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Computer Identity Based on Its Internal Clock Skew
Franková, Barbora ; Matoušek, Petr (referee) ; Polčák, Libor (advisor)
Thesis deals with remote computer identification based on its internal clock skew. It describes various methods to collect and evaluate time-related data extracted from TCP, ICMP and Javascript. Software package that implements some of those methods is attached as well. During the work, many experiments were carried out to find out possible effects of certain factors. Tests were aimed on software (operation systems, web browsers and time synchronization) as well as hardware (temperature, power source, distance and network connection type) of the remote systems. Interesting results were discovered in areas of IPv4/IPv6 address pairing and NTP time synchronization.
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Computer Identification Based on Packet Timestamps
Novotný, Jan ; Polčák, Libor (referee) ; Kaštil, Jan (advisor)
This work describes perspective identification technique called computer identification based on packet timestamps. This work also describes an algorithm to calculate skew of computer clock, on which the entire computer identification technique is based on. We will use this technique to identify a number of computers in the real computer network, the device that is running NAT and computers located behind NAT. Finally we show, how to determine the number of computers located behind NAT.
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Computer Identification Based on Its Network Behaviour
Myška, Michal ; Halfar, Patrik (referee) ; Polčák, Libor (advisor)
This diploma thesis deals with computer identification using network behavioral patterns. Security functions providing privacy are described together with user privacy threats. Then, several approaches to the computer identification based on network behaviour are described. The proposed tool is based on data mining method Multinomial Naive Bayes. Then, the implementation of proposed tool is described and the experiments recognizing success in the identification are performed.
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Computer Identification Using JavaScript Timestamps
Jireš, Michal ; Večeřa, Vojtěch (referee) ; Polčák, Libor (advisor)
This thesis deals with remote computer identification based on its internal clock skew. This clock skew will be determined using JavaScript timestamps. The goal of this thesis is to create web page, that will use clock skew to identify computer. This web page will also be used to test time distortion capabilities of browser extension JavaScript Restrictor. Web page will try to identify computer using different security presents thus testing their efficiency.
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Computer Identification Based on Packet Timestamps
Novotný, Jan ; Polčák, Libor (referee) ; Kaštil, Jan (advisor)
This work describes perspective identification technique called computer identification based on packet timestamps. This work also describes an algorithm to calculate skew of computer clock, on which the entire computer identification technique is based on. We will use this technique to identify a number of computers in the real computer network, the device that is running NAT and computers located behind NAT. Finally we show, how to determine the number of computers located behind NAT.
|
|
|
Computer Identity Based on Its Internal Clock Skew
Franková, Barbora ; Matoušek, Petr (referee) ; Polčák, Libor (advisor)
Thesis deals with remote computer identification based on its internal clock skew. It describes various methods to collect and evaluate time-related data extracted from TCP, ICMP and Javascript. Software package that implements some of those methods is attached as well. During the work, many experiments were carried out to find out possible effects of certain factors. Tests were aimed on software (operation systems, web browsers and time synchronization) as well as hardware (temperature, power source, distance and network connection type) of the remote systems. Interesting results were discovered in areas of IPv4/IPv6 address pairing and NTP time synchronization.
|
|
|
Computer Identification Using Time Information
Jirásek, Jakub ; Grégr, Matěj (referee) ; Polčák, Libor (advisor)
This work deals with the identification of a remote computer by monitoring TCP timestamps of the tracked device. It is possible to determine computer's clock skew from these timestamps as the clock skew is unique for every device. We are able to differentiate devices even though they have changed location, network address or connection type. Passive data capturing ensures that the identification process is invisible to the fingerprinted computer. It is necessary that the network communication of fingerprinted computer is visible to the observing device. We are able to utilise only TCP traffic with timestamps enabled.
|
|
|
Computer Identification Based on Its Network Behaviour
Myška, Michal ; Halfar, Patrik (referee) ; Polčák, Libor (advisor)
This diploma thesis deals with computer identification using network behavioral patterns. Security functions providing privacy are described together with user privacy threats. Then, several approaches to the computer identification based on network behaviour are described. The proposed tool is based on data mining method Multinomial Naive Bayes. Then, the implementation of proposed tool is described and the experiments recognizing success in the identification are performed.
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