What are some of the key challenges of big data when it comes to digital forensics?
One of the foremost axioms of forensics, digital or otherwise, is Locard’s exchange principle. Simply put, this principle, formulated by Dr. Edmond Locard (known in his time as “the Sherlock Holmes of France”), states:
“Every contact leaves a trace.”
These traces are the tiny pieces left behind that we forensic investigators use to help determine in a given situation what happened, where it happened, who it happened to, when it happened, how it happened and who did it.
So digital forensics is the pursuit of artifacts and traces of digital evidence: small data, not big data. Big data, as a concept, is the study of huge and complex data sets where traditional methods of analysis don’t function as well as new “big data” methodologies.
Big data, therefore, doesn't present much of a challenge to digital forensics because it deals with smaller data sets.
More Q&As from our experts
- What are some of the dangers of using machine learning impulsively without a business plan?
- Can AI help in the battle against fake news?
- Why is the idea of technology addiction nothing but a vastly exaggerated problem?
- Digital Forensics
- Big Data
- Small Data
- Artificial Intelligence
- Mobile Device
- Global Positioning System
- Data Forensics
- Certified Cyber Forensics Professional
- Information Assurance
Tech moves fast! Stay ahead of the curve with Techopedia!
Join nearly 200,000 subscribers who receive actionable tech insights from Techopedia.