Spellchecker analysis for behavioural biometric of typing errors scenario

Project: Securing ML-based Android Malware Detectors: A Defensive Feature Selection Approach against Backdoor Attacks

• Create a module that generates context-free grammar sentences (that allows to manipulate sentences easily), e.g., by random misspells or defined grammar ,mistakes.
• Comparison of different spell checkers in Python in terms of their effectiveness in detecting typos (randomly generated, QWERTY-based).