Everything about Implicit authentication
Recognition of user by behavioural means
Implicit authentication (IA) is an authentication technique that allows a smart device to recognize its owner by being acquainted with his/her behaviors. It is a technique that uses machine learning algorithms to learn user behavior through various sensors on the smart devices and achieve user identification. Most of the current authentication techniques, e.g., password, pattern lock, finger print and iris recognition, are explicit authentication which require user input. Comparing with explicit authentication, IA is transparent to users during the usage, and it significantly increases the usability by reducing time users spending on login, in which users find it more annoying than lack of cellular coverage. Wikipedia →
đź§ Start here: a 6-step reading path
- Read the overview: Implicit authenticationA 5-minute orientation
- Skim a recent paper: L-ECQV: Lightweight ECQV Implicit Certificates for Authentication in the Internet of ThingsInfluential work since 2022
- Pick up a classic book: Learning PHP, MySQL & JavaScriptThe most-reprinted book on the subject
- Read the landmark paper: AUTo Sen : Deep-Learning-Based Implicit Continuous Authentication Using Smartphone SensorsCited 153 times
- Go sideways: Keystroke dynamicsA closely related topic
- Go sideways: KeyloggerA closely related topic
đź“– Definitions
No dictionary entry for this exact phrase.
🏆 Landmark papers (most cited)
AUTo Sen : Deep-Learning-Based Implicit Continuous Authentication Using Smartphone Sensors
Multi-Modal Biometric-Based Implicit Authentication of Wearable Device Users
Continuous Authentication Using Eye Movement Response of Implicit Visual Stimuli
Performance evaluation of implicit smartphones authentication via sensor-behavior analysis
Privacy-Preserving Implicit Authentication Protocol Using Cosine Similarity for Internet of Things
Gait-Based Implicit Authentication Using Edge Computing and Deep Learning for Mobile Devices
BrainRun: A Behavioral Biometrics Dataset towards Continuous Implicit Authentication
HIAuth: A Hierarchical Implicit Authentication System for IoT Wearables Using Multiple Biometrics
🆕 Influential since 2022
L-ECQV: Lightweight ECQV Implicit Certificates for Authentication in the Internet of Things
MotionID: Towards practical behavioral biometrics-based implicit user authentication on smartphones
A Comprehensive Survey of Context-Aware Continuous Implicit Authentication in Online Learning Environments
Implicit IoT authentication using on-phone ANN models and breathing data
mWIoTAuth: Multi-wearable data-driven implicit IoT authentication
📚 Books worth reading
Learning PHP, MySQL & JavaScriptRobin Nixon · 2009
Organizational behaviorSteven Lattimore McShane, Mary Ann Young Von Glinow · 2001
Open GovernmentDaniel Lathrop · 2010
Christ in type and prophecyAnthony John Maas · 1893
Information and Communications SecurityTat Wing Chim · 2012
Divine faithPeter Finlay · 1917
On building, defending, and regulating the selfAbraham Tesser · 2005
Jesus researchPrinceton-Prague Symposium on Jesus Research (1st 2005 Prague, Czech Republic) · 2009
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
đź”— Related topics
- Keystroke dynamics Keystroke dynamics, keystroke biometrics, typing dynamics, or typing biometrics refer to the collection of biometric information generated by key-press-related…
- Keylogger A keystroke logger (keylogger) is a hardware or software component for logging the input of a keyboard. The person using the keyboard is typically unaware…
- Recommender system A recommender system, also called a recommendation engine or content discovery platform is a type of information filtering system that aims to suggest…
- Smudge attack A smudge attack is an information extraction attack that discerns the password input of a touchscreen device such as a smartphone or tablet computer from…
- Keystroke-level model In human–computer interaction, the keystroke-level model (KLM) predicts how long it will take an expert user to accomplish a routine task without errors…
- Animal–computer interaction Animal–computer interaction (ACI) is a field of research for the design and use of technology with, for and by animals covering different kinds of animals…
- Urban computing Urban computing is an interdisciplinary field which pertains to the study and application of computing technology in urban areas. This involves the application…
- Keystroke inference attack Keystroke inference attacks are a class of privacy-invasive technique that allows attackers to infer what a user is typing on a keyboard. The origins of…