Secure authentication from ambient audio - Revision history

Ssigg: /* Required Skills */

2014-07-31T12:35:38Z

Required Skills

← Older revision		Revision as of 14:35, 31 July 2014
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	* Natural curiosity, high motivation and a good sense of creativity :)		* Natural curiosity, high motivation and a good sense of creativity :)
	* Some basic understanding of machine learning techniques, audio-fingerprinting, error correction or fuzzy cryptograpy might be helpful but will also be acquired throughout the project (Since there are implementations already, none of these have to be done from scratch)		* Some basic understanding of machine learning techniques, audio-fingerprinting, error correction or fuzzy cryptograpy might be helpful but will also be acquired throughout the project (Since there are implementations already, none of these have to be done from scratch)
	* Experience with audio processing might be helpful but not ~~required~~		* Experience with audio processing might be helpful but is not mandatory

Ssigg: /* Required Skills */

2014-07-31T12:34:52Z

Required Skills

← Older revision		Revision as of 14:34, 31 July 2014
Line 25:		Line 25:
	* Natural curiosity, high motivation and a good sense of creativity :)		* Natural curiosity, high motivation and a good sense of creativity :)
	* Some basic understanding of machine learning techniques, audio-fingerprinting, error correction or fuzzy cryptograpy might be helpful but will also be acquired throughout the project (Since there are implementations already, none of these have to be done from scratch)		* Some basic understanding of machine learning techniques, audio-fingerprinting, error correction or fuzzy cryptograpy might be helpful but will also be acquired throughout the project (Since there are implementations already, none of these have to be done from scratch)
	* Experience with audio processing is helpful but not required		* Experience with audio processing might be helpful but not required

Ssigg: /* Required Skills */

2014-07-31T12:34:31Z

Required Skills

← Older revision		Revision as of 14:34, 31 July 2014
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	== Required Skills ==		== Required Skills ==
	* Natural curiosity, high motivation and a good sense of creativity :)		* Natural curiosity, high motivation and a good sense of creativity :)
	* ~~Programming skills in Python will~~ be ~~required~~ but ~~can~~ also be acquired in the ~~course~~ of ~~the project~~		* Some basic understanding of machine learning techniques, audio-fingerprinting, error correction or fuzzy cryptograpy might be helpful but will also be acquired throughout the project (Since there are implementations already, none of these have to be done from scratch)
	* ~~Basic understanding of physical layer effects of wireless communication will be~~ helpful		* Experience with audio processing is helpful but not required

Ssigg: /* Project Description */

2014-07-31T12:30:20Z

Project Description

← Older revision		Revision as of 14:30, 31 July 2014
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	In this implementation, similar recordings of ambient audio from mobile devices in proximity are utilised for the generation of a secure key.		In this implementation, similar recordings of ambient audio from mobile devices in proximity are utilised for the generation of a secure key.
	An attacker that is farther away is not able to guess the same key with a recording of her own since the features in the ambient audio differ with location.		An attacker that is farther away is not able to guess the same key with a recording of her own since the features in the ambient audio differ with location.
			However, the robustness of the generated key is dependent on properties of ambient audio.
			In previous studies, we experienced best pairing characteristics when devices are in an environment with a single loud audio source.
			When environmental noise is, however, more ubiquitous and noisy, it is easier for an attacker to generate a key that is similar to that of the legitimate communication partners.

	~~[[File:AudioSynch~~.~~png]]~~		In this project we will develop a mechanism to adapt the parameter of the underlying approach to generate secure to changing environmental parameters.


	~~Indoor positioning still remains a challenging task since GPS does not work indoors and reliable.~~		[[File:AudioSynch.png]]
	~~Furthermore, ubiquitously deployed alternatives are not available.~~
	~~Recenty, localisation techniques based on radio frequency measurements have been proposed.~~

	~~In this project, the student(s) will design and implement an indoor localisation system based on RF-signal strength fluctuation.~~
	~~We will provide USRP software defined radio devices and further required hardware equipment to design an accurate RF-based indoor localisation system.~~
	~~In the frame of the 2014 IPSN Indoor Localisation Competition~~ [~~http~~:~~//ipsn~~.~~acm.org/2014/content/pdf/IndoorLocation-CFC.pdf~~] ~~the designed system can be tested under realistic conditions.~~
	~~A participation is highly appreciated and will be supported.~~

	== Required Skills ==		== Required Skills ==

Ssigg: /* Project Description */

2014-07-31T12:24:08Z

Project Description

← Older revision		Revision as of 14:24, 31 July 2014
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	== Project Description ==		== Project Description ==
	In a preliminary ~~study~~, fingerprints from ambient audio have been utilised to generate a secure key among devices without the necessitiy of a trusted third party.		In preliminary studies, fingerprints from ambient audio have been utilised to generate a secure key among devices without the necessitiy of a trusted third party
	([http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6112755 1], [http://link.springer.com/chapter/10.1007%2F978-3-642-30973-1_31 2], [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6246148 3])		([http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6112755 1], [http://link.springer.com/chapter/10.1007%2F978-3-642-30973-1_31 2], [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6246148 3]).

			In this implementation, similar recordings of ambient audio from mobile devices in proximity are utilised for the generation of a secure key.
			An attacker that is farther away is not able to guess the same key with a recording of her own since the features in the ambient audio differ with location.

	[[File:AudioSynch.png]]		[[File:AudioSynch.png]]

Ssigg: /* Project Description */

2014-07-31T12:21:01Z

Project Description

← Older revision		Revision as of 14:21, 31 July 2014
Line 8:		Line 8:

	== Project Description ==		== Project Description ==
	In a preliminary study, fingerprints from ambient audio have been utilised to generate a secure key among devices without the necessitiy of a trusted third party.		In a preliminary study, fingerprints from ambient audio have been utilised to generate a secure key among devices without the necessitiy of a trusted third party.
			([http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6112755 1], [http://link.springer.com/chapter/10.1007%2F978-3-642-30973-1_31 2], [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6246148 3])

	[[File:AudioSynch.png]]		[[File:AudioSynch.png]]

Ssigg: /* Project Description */

2014-07-31T12:14:01Z

Project Description

← Older revision		Revision as of 14:14, 31 July 2014
Line 9:		Line 9:
	== Project Description ==		== Project Description ==
	In a preliminary study, fingerprints from ambient audio have been utilised to generate a secure key among devices without the necessitiy of a trusted third party.		In a preliminary study, fingerprints from ambient audio have been utilised to generate a secure key among devices without the necessitiy of a trusted third party.
	[[File:~~Example~~.~~jpg~~]]		[[File:AudioSynch.png]]

Ssigg: /* Project Description */

2014-07-31T12:07:15Z

Project Description

← Older revision		Revision as of 14:07, 31 July 2014
Line 8:		Line 8:

	== Project Description ==		== Project Description ==
			In a preliminary study, fingerprints from ambient audio have been utilised to generate a secure key among devices without the necessitiy of a trusted third party.
			[[File:Example.jpg]]


	Indoor positioning still remains a challenging task since GPS does not work indoors and reliable.		Indoor positioning still remains a challenging task since GPS does not work indoors and reliable.
	Furthermore, ubiquitously deployed alternatives are not available.		Furthermore, ubiquitously deployed alternatives are not available.
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	We will provide USRP software defined radio devices and further required hardware equipment to design an accurate RF-based indoor localisation system.		We will provide USRP software defined radio devices and further required hardware equipment to design an accurate RF-based indoor localisation system.
	In the frame of the 2014 IPSN Indoor Localisation Competition [http://ipsn.acm.org/2014/content/pdf/IndoorLocation-CFC.pdf] the designed system can be tested under realistic conditions.		In the frame of the 2014 IPSN Indoor Localisation Competition [http://ipsn.acm.org/2014/content/pdf/IndoorLocation-CFC.pdf] the designed system can be tested under realistic conditions.
	A participation is highly appreciated and will be supported.		A participation is highly appreciated and will be supported.

	== Required Skills ==		== Required Skills ==

Ssigg: Created page with "== Details == {{Project Description |supervisor=[http://www.stephansigg.de Stephan Sigg] |duration=3-6 months |type=Master Thesis or Student Project |status=open }} == Project D..."

2014-07-31T12:04:39Z

Created page with "== Details == {{Project Description |supervisor=[http://www.stephansigg.de Stephan Sigg] |duration=3-6 months |type=Master Thesis or Student Project |status=open }} == Project D..."

New page

== Details ==
{{Project Description
|supervisor=[http://www.stephansigg.de Stephan Sigg]
|duration=3-6 months
|type=Master Thesis or Student Project
|status=open
}}

== Project Description ==
Indoor positioning still remains a challenging task since GPS does not work indoors and reliable.
Furthermore, ubiquitously deployed alternatives are not available.
Recenty, localisation techniques based on radio frequency measurements have been proposed.

In this project, the student(s) will design and implement an indoor localisation system based on RF-signal strength fluctuation.
We will provide USRP software defined radio devices and further required hardware equipment to design an accurate RF-based indoor localisation system.
In the frame of the 2014 IPSN Indoor Localisation Competition [http://ipsn.acm.org/2014/content/pdf/IndoorLocation-CFC.pdf] the designed system can be tested under realistic conditions.
A participation is highly appreciated and will be supported.

== Required Skills ==
* Natural curiosity, high motivation and a good sense of creativity :)
* Programming skills in Python will be required but can also be acquired in the course of the project
* Basic understanding of physical layer effects of wireless communication will be helpful