Multimedia analysis platform for crime prevention and investigation

Nowadays,the use of digital technologies is promoting three main characteristics of information, i.e. the volume, the modality and the frequency. Due to the amount of information generated by tools and individuals, it has been identified a critical need for the Law Enforcement Agencies to exploit this information and carry out criminal investigations in an effective way. To respond to the increasing challenges of managing huge amounts of heterogeneous data generated at high frequency, the paper outlines a modular approach adopted for the processing of information gathered from different information sources, and the extraction of knowledge to assist criminal investigation. The proposed platform provides novel technologies and efficient components for processing multimedia information in a scalable and distributed way, allowing Law Enforcement Agencies to make the analysis and a multidimensional visualization of criminal information in a single and secure point.

[1]  Alan Sill,et al.  The Design and Architecture of Microservices , 2016, IEEE Cloud Computing.

[2]  Valentina Dragos.  Developing a core ontology to improve military intelligence analysis , 2013, Int. J. Knowl. Based Intell. Eng. Syst..

[3]  Smriti Sehgal,et al.  A review: Crime analysis using data mining techniques and algorithms , 2017, 2017 International Conference on Computing, Communication and Automation (ICCCA).

[4]  Birgit Vogel-Heuser,et al.  A flexible architecture for data mining from heterogeneous data sources in automated production systems , 2017, 2017 IEEE International Conference on Industrial Technology (ICIT).

[5]  Jiangbin Zheng,et al.  Big Data Analytics and Mining for Effective Visualization and Trends Forecasting of Crime Data , 2019, IEEE Access.

[6]  Sabit Ekin,et al.  Uplink achievable rate in underlay random access OFDM-based cognitive radio networks , 2019, EURASIP J. Wirel. Commun. Netw..

[7]  Chungjin Hu,et al.  A Police Big Data Analytics Platform: Framework and Implications , 2016, 2016 IEEE First International Conference on Data Science in Cyberspace (DSC).

[8]  Gondy Leroy,et al.  TASC - Crime report visualization for investigative analysis: A case study , 2012, 2012 IEEE 13th International Conference on Information Reuse & Integration (IRI).

[9]  Ziad Al-Sharif,et al.  Towards hierarchical cooperative analytics architecture in law enforcement agencies , 2017, 2017 8th International Conference on Information, Intelligence, Systems & Applications (IISA).

[10]  Mansi Ghodsi,et al.  A review of data mining applications in crime , 2016, Stat. Anal. Data Min..

[11]  Wouter Joosen,et al.  Evaluation of Container Orchestration Systems for Deploying and Managing NoSQL Database Clusters , 2018, 2018 IEEE 11th International Conference on Cloud Computing (CLOUD).

[12]  Chetna Laroiya,et al.  Challenges in Big Data Analytics Techniques: A Survey , 2019, 2019 9th International Conference on Cloud Computing, Data Science & Engineering (Confluence).

[13]  Alan Sill.  Standards Underlying Cloud Networking , 2016, IEEE Cloud Computing.

[14]  Nitin Naik.  Docker container-based big data processing system in multiple clouds for everyone , 2017, 2017 IEEE International Systems Engineering Symposium (ISSE).

[15]  K. P. Chow,et al.  An Information Extraction Framework for Digital Forensic Investigations , 2015, IFIP Int. Conf. Digital Forensics.