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Insights into TypingDNA typing patterns and the type-to-output tool

Protect yourself from online attacks that threaten your identity, your files, your system, and your financial well-being.


What are typing patterns?

Typing patterns are the digital representation of a person’s unique typing behavior, similar to physical biometrics such as fingerprint recognition, facial recognition, and iris scanning. 

To generate a typing pattern, TypingDNA uses an array of different metrics, including press time, which is the duration that a key is pressed, and seek time, which is the duration between keystrokes. When people type on their keyboards, TypingDNA develops a string of parameters that determine individual attributes of the way they type. 

What are TypingDNA recorders?

Whenever you implement TypingDNA, you should start by integrating our typing pattern recorders. Make sure to go to TypingDNA’s GitHub repository and download the latest version of the recorder that works best for the technology you are using. 

Direct links:

Take a look at this tutorial we’ve made to find out how to record good typing patterns.

What forms a typing pattern?

Any typing pattern has a header and a body. The header is crucial for the accurate interpretation of the information found in the body of the typing pattern, which defines the way the user types. Type 1 & 2 (more information below) patterns share a similar structure:

The header of a typing pattern consists of general information, including device type, recorder version, text length, operating system, browser type, browser version, and browser language. It also includes text ID, ahashed value obtained from the data typed by the user used to verify whether they have previously saved other typing patterns for the same text without knowing what the user has actually typed.

The body of the typing pattern allows us to go into more detail about how the user types: the time between two keypresses, how long they hold a key down, keyboard input (whether the keyboard is touch-based, physical, or a combination of both), and keyboard type (internal, external, or mixed).

Find out more in the API documentation.

How does a typing pattern differ on mobile?

For mobile, typing patterns also include data gathered on each keypress from the gyroscope and accelerometer, including acceleration, rotation, pitch, and roll, all of which help increase…

Source…

Machine Learning Aided Ransomware Detection Using Process Power Consumption Patterns – Infosecurity Magazine

Machine Learning Aided Ransomware Detection Using Process Power Consumption Patterns
Infosecurity Magazine
ransomware samples with active Command and Control (C2) at the time of experiment on three different Android devices, namely: a Samsung Galaxy SIII (Android 4.4), a Samsung Galaxy S Duos (Android 4.0.1), and an Asus Padfone Infinity (Android 4.4).

android ransomware – read more

New Research Proves Android Unlock Patterns Suck – MakeUseOf


MakeUseOf

New Research Proves Android Unlock Patterns Suck
MakeUseOf
If you unlock your Android handset using a pattern, you should consider using a PIN code instead. Because new research shows that Android unlock patterns are really not secure. If no one sees you swiping your finger over your screen then you may be OK, …

android security – read more