The goal of Digital forensics process is to preserve any evidence in its most original form while performing a structured investigation by collecting, identifying and validating the digital information for the investigation of particular digital crime. Today we are living in the information age, all the information which is transferred over the internet is through the digital devices. With the advent of worldwide web, advanced forms of digital crimes came into picture. Criminal uses the Digital devices to commit Digital crime, so for the investigation forensic Experts have to adopt practical frameworks and methods to recover data for analysis which can comprise as evidence. Investigation of Digital forensics adopts three essential processes: Data Generation, Data Preparation and Data warehousing. Data Mining has unlimited potential in the field of Digital Forensics. Computer forensics is an emerging discipline investigating the computer crime. In this paper we are introducing the cyber Forensics using Sequence Mining algorithm, by comparing it with association rule mining algorithm parameters.

The advent of world-wide web not only changes our life view but also gives rise to advanced forms of digital crimes. Today's era is the digital age, over the internet most of the facts are transferred through the digital devices. Cyber criminals always use Digital devices to conduct digital crime. The applicability of various forensics techniques in digital forensics helps the forensics investigators to adopt practical frameworks and methods to recover data for analysis which can comprise as evidence. In the field of Digital Forensics Data Mining has huge prospective. Computer forensics is a rising discipline investigating the computer crime. The goal of data mining technique is to find the valuable relationships between data items.