BIG DATA IN CRIMINAL INVESTIGATIONS


BIG DATA IN CRIMINAL INVESTIGATIONS

http://www.bigdatanalysis.com/big-data-analytics-criminal-investigations/

In order to cope with cybercrimes and overseas illegal behaviors, the police are now using big data analysis platform which based on AI algorithms, combined with the existing crime database of the police organizations for analysis and comparison. The crime database will be used in the crime investigation experience of senior police officers to the data collection, file establishment, method interpretation, case analysis, and related method application, and then use the big data analysis platform to target various crime methods. After analyzing whether there are repeated or similar criminal tactics, or even use similar or related tools. Then, the system will find out the correlation between the cases which will help the first-line police to improve the efficiency of crime investigation. 

There are three types of analytics: descriptive, predictive, and prescriptive. The prediction has always been the core application of big data analysis and provides great convenience for people’s daily life. Prevention is the most important factor to lower the crime rate. That is to discover the present and the future by summing up the frequency in the past. In addition, the ability to recognize identity theft is also very important. Some cyber fraud cases were caused by identity theft or misuse. The police officer pointed out that "criminal behavior is self-replicating without error", and the accuracy of this behavior has reached a surprising level. In other words, people’s behavior is predictable. 

The ability of big data investigation and prediction can highly restore past events and early warning. Both of them must be built on a massive amount of data and deep data mining. Whether in the initial data acquisition or in-depth analysis of the data, it may result in a certain threat to citizens' privacy rights and property rights.

Comments

  1. D0711965June 25, 2020 at 1:38 AM

    By reading the article, I think this is a very cool and interesting topic.

    So except using on the business analysis, big data can used in criminal investigations and public safety. These tools are not only reserved for academic think tanks or large marketing companies, but also easy to access and use in a PC environment.

    To predict the terrorism, the ability to accurately characterize, discover, predict, and ultimately prevent subsequent attacks on the basis of a thorough analysis of past behavior, planning, and surveillance will have great value in combating terrorism and protecting national security. The latest technological innovations have allowed the deployment of analytical products or "scoring" algorithms to operators without formal statistical training. These models can be used in the field for multiple functions, including risk assessment and prediction of future events or behaviors.

    To predict human behavior, by doing characterize, model, classify, and even predict this behavior under certain circumstances. Although behavior analysis may not be able to identify specific individuals or suspects, it can usually provide investigators with more knowledge or insight to understand which type of person may be related to a specific crime or a series of crimes.

    Another analysis is used to discover the identity theft, which has existed in many forms for a long time. Unfortunately, identity theft is usually carried out after bad circumstances occur. Given the huge amount of information involved, it would be very difficult and inefficient to manually search these data sets to actively identify identity theft or abuse. Moreover, it might be mark invalid. Although this method cannot catch everyone, it may detect enough illegal use of credentials, making this type of identity theft more difficult and preventing the criminal use of legal credentials in the future.

    Big data has applied to many other aspects to avoid the criminal, or it can say to help society better.

    ReplyDelete

Post a Comment

Popular posts from this blog

How Big Data Can Boost Weather Forecasting

張岳庭 D0741017 Source:  https://www.wired.com/insights/2013/02/how-big-data-can-boost-weather-forecasting/ Considering the number of variables involved and the complex interactions between these variables, weather forecasting has always been extremely challenging. The significant increase in data collection and processing capabilities has greatly improved the ability of weather forecasters to pinpoint the time and severity of hurricanes, floods, snowstorms and other weather events. Globally, more and more evidence of climate change is prompting governments and scientists to take action to protect people and property from its effects. But to take effective measures, they need to know more about the weather-from everything that will happen tomorrow to what will happen next year. According to the professor of economics and finance , Alan Anderson, PhD , “Example of an application of big data to weather forecasting is IBM’s Deep Thunder. Unlike many weather forecasting systems...
Read more

How Big Data is Changing the Production Industry

Blog#4 : How Big Data is Changing the Production Industry Name : Aileen 蔣慧玲 Student ID : D0726917 Source :   https://www.productionhub.com/blog/post/how-big-data-is-changing-the-production-industry Information technology plays a major role in Hollywood. Producers have to use big data analytics to get the right consumers and communicate with them well. Big data technologies will help filmmakers figure out the best ways to share their ideas and deliver messages, develop movies and content that involve ethical and societal issues. Therefore, information that we can get from the help of big data can help filmmakers make key decisions. Big Data is Changing the Production Game Big data technology can help filmmakers to connect and engage with consumers more directly using social media, mobile devices and traditional advertising outlets. Using this technology, producers can develop promotions that reaches the right consumer at the right time. It is not enough just to mainta...
Read more

Big Data case study: 5 relevant examples from the airline industry

D0740712 Connie  吳霈晴 Website: https://blog.datumize.com/5-relevant-examples-of-a-big-data-case-study-from-the-airline-industry With the summer vacation coming, travel is the one that people love to do during vacation, especially long vacation, going abroad may be the first choice for many travelers. So this makes me think of what is the relationship between big data and airplanes? How will it apply on the airline industry? This article tells about the benefits of big data on airlines, which covers three main advantages. 1.      Smarter maintenance 2.      Safer flights 3.      Improve service The first one includes the fuel of airplane, by analyzing and predicting, the article takes some specific airplane company as an example, giving the real number and how much they save the cost. Second, safety. Like this kind of transportation has a higher risk to take, if have the big data’s help, th...
Read more