In Digital Forensics, How Law Enforcement Uses AI

AI can automate the forensic investigation process and collaborate with an expert to provide justice.

FREMONT, CA: Artificial intelligence (AI) is a famous field that concentrates on resolving real-time complications of the issues that may have emerged. Digital forensics is the processing of data that has been intelligently provided. Artificial intelligence (AI) is considered necessary to solve difficulties in digital forensics.

The critical difficulties in digital forensics are:

• The exponential expansion of storage capacity.
• The ubiquity of data saved electronically.
• The prevailing disparate systems.
• The degree of technical awareness to decide the procedure to be worked on.

The issues listed above can be solved if AI is used to generate reasonability and encounter possibly diverse and vast amounts of data appropriately.

KNOWLEDGE REPRESENTATION                     

When confronting AI, knowledge expression is one of the most significant concepts to consider, which implies expressing the information people are interested in. Adding ontology to the row allows us to discover the grounds for the representation and make it more coherent. The core is nowadays on XML and RDF, which can enhance data standards, as is the core of digital forensics.

Standard territory ontology is the means of the future in digital forensics. Employing a standard domain would permit communication on digital forensic jobs, like hidden details between forensic imaging tools, and designate a formal framework for conversing any digital exhibit. Moreover, growing the ability to make a vast, reusable case repository.

IDENTIFICATION OF PATTERNS

Pattern recognition is utilized in the detection of data clusters. The recognition system functions as a collection of important classifiers, operating a possible pass-through of all-encompassing pattern matches before considering the most suitable as successful. Artificial neural networks and decision trees enable early pattern detection, making them useful in digital forensics.

THE REASONING PROCESS

The reasoning behind the algorithm utilized is the next key theme in the AI field of digital forensics. Therefore, its value in digital forensics is restricted. Symbolic and sub-symbolic characters could be employed to distinguish the AI approaches used. Emblematic reasoning uses a pre-designed expert system to make decision-making more manageable. Although there is a drawback to this pre-designed rule-of-thumb method, like analysis mistakes, a deficiency of a rule foundation may induce the error. The issue could be fixed by improving the rule base, but this is time-consuming.