Research Area:  Digital Forensics

Abstract:

Data security is critical, and security measures vary depending on the services and applications. The collection, analysis, and auditing of digital evidence, especially in forensic investigations, necessitates a high level of security and data analytics. The ultimate purpose is to preserve multimedia data in an inspection paradigm relying on auto classify and effective deduplication techniques. Information is more useful in legal, human rights, and crime investigation comparisons than in other data consumption applications. In the present situation, where there are a large number of witnesses at crime scenes, digital data or virtual proofs play an important role in the justice system. Virtual evidence security is in high demand in the forensic and criminal justice sectors. When the public wants to share virtual proof and facts, a reliable and efficient channel between the user and the server is needed. A digital forensic administrator must oversee the evidence transaction in the digital realm. Traditional third-party administrator auditing is needed when using the virtual proof collection system. When the proof is gathered, our proposed modal, which is incorporated, then based on data analytics, if many users exchanged, then the data becomes familiar unless unfamiliar. Check familiarity status has been set as the threshold value. This template fusion modal aids in the investigation and virtual proofing of data protection, as well as data analytics for successful deduplication.

Keywords:  

Author(s) Name:  P. Senthil, S. Selvakumar

Publisher name:  ELSEVIER

DOI:  https://doi.org/10.1007/s11277-021-08713-8

Volume Information:  Springer

Paper Link:   https://link.springer.com/article/10.1007/s11277-021-08713-8