Secondly, the system will include a predictive terror attack engine to aid national security agencies in making informed decisions about citizen alerts and alarms. Firstly, the framework's practical application will enable the prediction of potential threats to national security, facilitating timely corrective actions through the analysis of criminals/terrorists' behavioral patterns. The anticipated outcomes of the project are twofold. These techniques will be used to model behaviors and maintain public welfare through surveillance or make predictions about users/customers of web services. The proposed framework will utilize probabilistic modeling techniques, machine learning approaches, and big data analytics methodologies employed by organizations like NSA, Google, and Amazon. A model will be developed to assign Trust Scores and assess online social network users. The aim is to detect malicious users, including those involved in child pornographic content, fake accounts, and followers market activities. This will help identify and tag sources spreading anti-national ideologies as "Radical."Īnother significant component of the research involves conducting a comprehensive study of terrorist groups operating in India. Threats will be classified into five levels: Not Expected, Possible, Probable, Expected, and Certain.Īn essential aspect of the research is to detect and classify "Radical/Anti National" or "Extremist" online social content based on specific criteria, such as religious or political motivation, unethical provocation, racism, and more. It also aims to design a system that can predict terror attacks and perform perception management for national security agencies, providing clear indications of whether citizens should be alerted.
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The project emphasizes the efficient use of free and open-source tools available in the market to extract the most accurate and relevant information for national interests. The ultimate goal is to enhance national security by predicting potential threats and taking corrective action through the analysis of criminals/terrorists' behavioral models. The primary focus is on designing and developing a framework capable of extracting actionable intelligence related to terrorist activities from diverse sources, including emails, physical devices, news items, online media, social media, blogs, and formal sources. The research project aims to address various terrorist activities, such as cyber recruitment and illegal procurement of modern weapons for potential mass attacks. A panel of experts is also brought in to evaluate the progress of the Theme coordination project proposals projects Manpower Sanctioned/Hired The budget also accommodates yearly review workshops and an ICPS Security conference which includes transportation, accommodation, meals, and inviting industry and academic experts to give keynote talks. Additionally, equipment expenses at PEC, Chandigarh include a dedicated server and two desktops for running the website and web applications. To facilitate this, the budget includes funding for research staff who will develop the database, and secure web applications for tracking progress.Ī travel budget of is allocated for cluster heads, project engineers, and DST representatives to travel to project sites and for necessary meetings. PEC, Chandigarh will be responsible for developing and maintaining a web-based tracking system for project progress and combining reports and indicators. The technical summary outlines the budget and project plan for Theme coordination project proposals with a combined budget of approximately 9.725 crores.
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