CRIB: Cyber crime investigation, data archival and analysis using big data tool
Priyanka Dhaka, Rahul Johari
Guru Gobind Singh Indraprastha University
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
In today's world Cyber Crimes are happening at a very rapid rate, the tools and techniques required to handle bulky and complex cyber crimes and attacks, are making organisations to remain coherent with evolving threats. Big data analytics provides a better and focussed way to overcome these threats and shorten their time to remediate with the help of tools like MongoDB. While the crime complete impairment are still unexplored there is need to control this damage by analysing the fast investigation using Big Data tools. This paper puts forth the ideas and strategies of using the cyber crime investigation tool to analyse the data and generate a report and deploying this data in MongoDB in order to manage large data and extracting structured data sets that it could help us to better understand and analyzed how to ensure threats from recurring.
逐年被引趋势
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
计算机 / AIDigital and Cyber Forensics
Cloud Computing and Resource Management · Advanced Malware Detection Techniques
参考文献 8
此处列出前 3 条
引用本文 10
按被引量排序,此处列出前 3 条