Information Security - Information Security is the practice of protecting data and information systems from unauthorized access, use, disclosure, disruption, modification, or destruction. Its primary goal is to ensure the confidentiality, integrity, and availability (CIA) of data, which are often referred to as the "CIA Triad." Information security is essential for organizations to protect sensitive information and maintain trust with clients, employees, and stakeholders. 

Cyber Security - Cybersecurity is the practice of protecting systems, networks, and data from digital attacks, damage, or unauthorized access. It encompasses a wide range of strategies, tools, and best practices to defend against various cyber threats, including malware, phishing, data breaches, and hacking attempts. Cybersecurity is crucial for safeguarding personal, corporate, and government data and ensuring the integrity, confidentiality, and availability of digital assets. 

ML/DL - Machine Learning (ML) and Deep Learning (DL) have become essential tools in Information Security or Cybersecurity, enhancing the ability to detect, prevent, and respond to cyber threats more effectively. By analyzing vast amounts of data, ML and DL models can identify complex patterns, adapt to new threats, and provide real-time insights, making cybersecurity systems more proactive and resilient. 

NLP - Natural Language Processing (NLP) plays a vital role in information security and cybersecurity by enhancing the detection and prevention of threats. It enables the analysis of vast amounts of textual data, such as emails, social media, and logs, to identify phishing attempts, malware, and insider threats through sentiment analysis and pattern recognition. NLP algorithms can automate the classification of suspicious communications, improving incident response times. 

Phishing Detection using ML/DL (Ph.D. Work)

Suicide Notes Analysis (C-DAC Kolkata Project)

Deception Detection in Text (M.Tech. Project)