Sökning: onr:"swepub:oai:DiVA.org:umu-139946" >
Identifying smartph...
Identifying smartphone users based on their activity patterns via mobile sensing
-
- Ehatisham-ul-Haq, Muhammad (författare)
- Faculty of Telecom and Information Engineering, University of Engineering and Technology, Taxila, Punjab, Pakistan
-
- Awais Azam, Muhammad (författare)
- Faculty of Telecom and Information Engineering, University of Engineering and Technology, Taxila, Punjab, Pakistan
-
- Naeem, Usman (författare)
- School of Architecture, Computing and Engineering, University of East London, United Kingdom
-
visa fler...
-
- Ur Rèhman, Shafiq, 1978- (författare)
- Umeå universitet,Institutionen för tillämpad fysik och elektronik
-
- Khaild, Asra (författare)
- Department of Computer Science, COMSATS Institute of Information Technology, Wah Campus, Pakistan
-
visa färre...
-
(creator_code:org_t)
- Elsevier, 2017
- 2017
- Engelska.
-
Ingår i: Procedia Computer Science. - : Elsevier. - 1877-0509. ; 113, s. 202-209
- Relaterad länk:
-
https://doi.org/10.1...
-
visa fler...
-
https://umu.diva-por... (primary) (Raw object)
-
https://doi.org/10.1...
-
https://urn.kb.se/re...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- Smartphones are ubiquitous devices that enable users to perform many of their routine tasks anytime and anywhere. With the advancement in information technology, smartphones are now equipped with sensing and networking capabilities that provide context-awareness for a wide range of applications. Due to ease of use and access, many users are using smartphones to store their private data, such as personal identifiers and bank account details. This type of sensitive data can be vulnerable if the device gets lost or stolen. The existing methods for securing mobile devices, including passwords, PINs and pattern locks are susceptible to many bouts such as smudge attacks. This paper proposes a novel framework to protect sensitive data on smartphones by identifying smartphone users based on their behavioral traits using smartphone embedded sensors. A series of experiments have been conducted for validating the proposed framework, which demonstrate its effectiveness.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Annan teknik -- Interaktionsteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Other Engineering and Technologies -- Interaction Technologies (hsv//eng)
Nyckelord
- activity recognition
- behavioral biometrics
- continuous sensing
- mobile device security
- data privacy
- mobile sensing
- ubiquitous computing
- user identification
- data- och systemvetenskap
- computer and systems sciences
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
Hitta via bibliotek
Till lärosätets databas