helping to anticipate the unauthorized actions shown to be disruptive to planned operations”. This definition is generally accepted to be an all-inclusive definition. [6]
Willassen and Mjølsnes (2005) defined digital forensics as
“the practice of scientifically derived and proven technical methods and tools towards the after-the-fact digital information derived from digital sources for the purpose of facilitating or furthering the reconstruction of events as forensic evidence”. [6]
The main difference between these two definitions is that
Willassen and Mjølsnes (2005) removed the criminal element, which broadens the scope of application to include digital forensics in various types of investigations, such as commercial investigations. [6]
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It is for this reason that a digital forensic process must be flexible to accommodate various technologies. A static process will limit future developments in the digital forensics field. Robbins (2012) defines computer forensics as “simply the application of computer investigation and analysis techniques in the interests of determining potential legal evidence” and does not prescribe the process as methodically as Palmer, but nevertheless includes a number of fixed steps in his explanation. However, formulating a fixed process list in a definition of digital forensics should be avoided. [6]
A digital investigation may encounter many formats of digital data and therefore there exist several types of analysis. The different analysis types are based on interpretation, or abstraction, layers, which are generally part of the data’s design. For example, consider the data on a hard disk, which has been designed with several interpretation layers. The lowest layer may contain 3 partitions or other containers that are used for volume management. Inside of each partition is data that has been organized into a file system or database. The data in a file system is interpreted to create files that contain data in an application-specific format. Each of these layers has its own analysis techniques and requirements. Examples of common digital analysis
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While the interesting part of Android forensics involves the acquisition and analysis of data from devices. [8]
III. ANDROID APPLICATION
A. Android Smartphone
The Android mobile platform has quickly risen from its first phone in October 2008 to the most popular mobile operating system in the world by early 2011. The explosive growth of the platform has been a significant win for consumers with respect to competition and features. [8]
B. Line
The Android mobile platform has quickly risen from its first phone in October 2008 to the most popular mobile operating system in the world by early 2011. The explosive growth of the platform has been a significant win for consumers with respect to competition and features.
Originally created for Android and iOS phones, it’s extension is now available to windows phone and desktops also. BlackBerry version was made available in October 2012. Currently 150 million users are using this app which allows texting, exchange of pictures, audio messages and even crystal clear voice calls over internet all for free in over 230 countries. Compared to other apps, Line has better outreach when it