Visible to the public A Framework for Mobile Forensics Based on Clustering of Big Data

TitleA Framework for Mobile Forensics Based on Clustering of Big Data
Publication TypeConference Paper
Year of Publication2021
AuthorsPeng, Liwen, Zhu, Xiaolin, Zhang, Peng
Conference Name2021 IEEE 4th International Conference on Electronics Technology (ICET)
KeywordsBig Data, clustering, clustering methods, digital forensics, Distributed databases, Human Behavior, law enforcement, Metrics, mobile forensics framework, performance evaluation, pubcrawl, resilience, Resiliency, Scalability, Tools, wireless networks
AbstractWith the rapid development of the wireless network and smart mobile equipment, many lawbreakers employ mobile devices to destroy and steal important information and property from other persons. In order to fighting the criminal act efficiently, the public security organ need to collect the evidences from the crime tools and submit to the court. In the meantime, with development of internal storage technology, the law enforcement officials collect lots of information from the smart mobile equipment, for the sake of handling the huge amounts of data, we propose a framework that combine distributed clustering methods to analyze data sets, this model will split massive data into smaller pieces and use clustering method to analyze each smaller one on disparate machines to solve the problem of large amount of data, thus forensics investigation work will be more effectively.
DOI10.1109/ICET51757.2021.9451014
Citation Keypeng_framework_2021