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What is Data Recovery

Critical Concepts, Standards, and Techniques in Cyber Forensics
Data recovery is the process of restoring data that has been lost, accidentally deleted, corrupted, or made inaccessible.
Published in Chapter:
Digital Forensics and Data Mining
Mohammad Suaib (Integral University, India), Mohd. Akbar (Integral University, India), and Mohd. Shahid Husain (Ministry of Higher Education, Oman)
Copyright: © 2020 |Pages: 8
DOI: 10.4018/978-1-7998-1558-7.ch014
Abstract
Digital forensic experts need to identify and collect the data stored in electronic devices. Further, this acquired data has to be analyzed to produce digital evidence. Data mining techniques have been successfully implemented in various applications across the domains. Data mining techniques help us to gain insight from a large volume of data. It helps us to predict the pattern, classify the data, and other various aspects of the data based on the users' perspective. Digital forensics is a sophisticated area of research. As the information age is revolutionizing at an inconceivable speed and the information stored in digital form is growing at a rapid rate, law enforcement agencies have a heavy reliance on digital forensic techniques that can provide timely acquisition of data, zero fault data processing, and accurate interpretation of data. This chapter gives an overview of the tasks involved in cyber forensics. It also discusses the traditional approach for digital forensics and how the integration of data mining techniques can enhance the efficiency and reliability of the existing systems used for cyber forensics.
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More Results
Introduction to Computer Forensics in the Age of Information Warfare
Recovering data or information from a computer that he user has deleted. Incident Response: The practice of detecting a problem, determining its cause, minimizing the damage it causes, resolving the problem, and documenting each step of the response for future reference.
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