Which of the following techniques is commonly used for user behavioural analytics in Cyber Security?Time-Series analysisSocial n/w analysisMarket based analysisLinear regression

The techniques commonly used for user behavioural analytics in Cyber Security are Time-Series analysis and Social network analysis.

1. Time-Series Analysis: This technique is used to analyze well-defined, ordered data points indexed by time. In the context of cyber security, time-series analysis can be used to identify patterns and anomalies in user behavior over time. For example, if a user typically logs in during regular business hours, a login attempt in the middle of the night could be flagged as suspicious.

2. Social Network Analysis: This technique is used to analyze social connections among individuals. In the context of cyber security, social network analysis can be used to identify unusual patterns of communication or collaboration. For example, if a user suddenly starts exchanging a large number of emails with a new contact, this could be flagged as suspicious.

Market based analysis and Linear regression are not typically used for user behavioural analytics in Cyber Security. Market based analysis is more commonly used in finance and economics, while linear regression is a statistical technique used for predicting a dependent variable based on one or more independent variables.