Big data has been used in various industries and currently it is helping countries in their battle against terrorism. Big data can process ample amounts of data within a short span of time. Before the arrival of big data, it was impossible to use large datasets and reach a definite conclusion. But big data can handle not only huge amounts of data but also data that arrives at a high rate and variety. Here’s a look at how Big Data is assisting in the fight against terrorism.
- Text, audio/video inputs processing
With so many phones and CCTVs in use worldwide, authorities may find it difficult to track down potential terrorists. The requirement here is to quickly identify a suspect before they can implement their plans. It could take several days or weeks if conventional software systems are used. Thanks to big data, the same thing can be achieved in seconds or minutes.
- Detecting money-laundering activities
Laundered money is frequently used to fund terrorist activities. The funds may have passed through several companies and individuals before reaching the terrorists. With thousands of transactions that may require investigations and a few others in real-time, authorities can only make it work with Big Data. Stopping the flow of funds is an effective way of putting a stop to terrorist activities. Big Data can be used to identify such sources.
- Pattern recognition
Terrorist organizations, similar to other organizations, have processes and protocols put in place. Big Data can analyze previous terrorist attacks to identify patterns which can then be helpful in identifying a potential terror attack. Financial transactions, online activities, cross-border communications, movement of specific goods and consignments, and other parameters can all be used to identify patterns.
- AI and Machine learning
As terrorists attempt to change their patterns, Big Data can be combined with advanced AI and machine learning systems to fill in the gaps. Terrorist groups take time to form and operate, and not everything can be changed to avoid detection. Big Data, in conjunction with machine learning, can predict new ways in which terrorist groups may attempt to carry out their plans.
- Risk forecasting
Big Data can assess the level of terrorism risk on a given day for a specific area, location, or city based on previous terror attacks and other related data sets. Authorities will have enough time to implement counter-terrorism measures if risk projections are accurate. Based on the inputs, security arrangements at that specific location can be strengthened to prevent possible terror attacks.
