ABFT: Analytics to Uplift Big Social Events Using Forensic Tools

Abstract

Researchers and analysts are rapidly going through with large even terabyte- and petabyte-sized data sets when carrying digital investigation, which is becoming one of the major challenges in digital forensics. With invariably rising network bandwidth, it can be highly difficult to operate and store network traffic. To have a control over this, new algorithmic approach and computational methods are needed; even though Big Data is a challenge for forensic researchers, it effectively helps them in investigating patterns to prevent or detect and resolve crime. This chapter brings up care toward challenges in forensic investigation related to Big Data and possible ways to help a forensic investigator figure out large data sets in order to carry out forensic analysis and investigation. World is intent across big social events which even raises a concern toward criminal activities involved there in and there by bounding across Big Data. There are many practical applications where one can process large amount of data, and this data comes moreover in unstructured form. Right from various events that are considered about big communities, there are various real-life postulates where large quantity of data is produced and processed which is required to be mined (Hambrick et al., J Anxiety Disord 18:825–839, 2004). Big Data analytics has provided a striking growth that has shown up as a result of the accessibility of large sum of data that is fitting across a varied range of application domains all so in the region of science, business, and government. This chapter has also paid attention toward different aspects of commerce with analytics mentioning Big Data in social events.