Digital Forensic and Machine Learning

2016 ◽  
pp. 141-156
Author(s):  
Poonkodi Mariappan ◽  
Padhmavathi B. ◽  
Talluri Srinivasa Teja
Keyword(s):  
Human Mind ◽  
Digital Evidence ◽  
Contemporary World ◽  
Forensic Research ◽  
Digital Forensic ◽  
Research Workshop ◽  
Complexity Problem ◽  
Three Stages ◽  
The Hard Problem ◽  
Proven Method

Digital Forensic as it sounds coerce human mind primarily with exploration of crime. However in the contemporary world, digital forensic has evolved as an essential source of tools from data acquisition to legal action. Basically three stages are involved in digital forensic namely acquisition, analysis and reporting. Digital Forensic Research Workshop (DFRW) defined digital forensic as “Use of Scientifically derived and proven method towards the identification, collection, analysis, interpretation, documentation and presentation of digital evidence derived from digital sources for the purpose of facilitating or furthering the reconstruction of event to be criminal”. The hard problem in digital forensic is such that the acquired data need to be cleaned and is required to be intelligible for reading by human. As a solution to this complexity problem a number of tools are present which may be repeated until relevant data is obtained.

Digital Forensic and Machine Learning

2020 ◽  
pp. 427-444
Author(s):  
Poonkodi Mariappan ◽  
Padhmavathi B. ◽  
Talluri Srinivasa Teja
Keyword(s):  
Human Mind ◽  
Digital Evidence ◽  
Contemporary World ◽  
Forensic Research ◽  
Digital Forensic ◽  
Research Workshop ◽  
Complexity Problem ◽  
Three Stages ◽  
The Hard Problem ◽  
Proven Method

Digital Forensic as it sounds coerce human mind primarily with exploration of crime. However in the contemporary world, digital forensic has evolved as an essential source of tools from data acquisition to legal action. Basically three stages are involved in digital forensic namely acquisition, analysis and reporting. Digital Forensic Research Workshop (DFRW) defined digital forensic as “Use of Scientifically derived and proven method towards the identification, collection, analysis, interpretation, documentation and presentation of digital evidence derived from digital sources for the purpose of facilitating or furthering the reconstruction of event to be criminal”. The hard problem in digital forensic is such that the acquired data need to be cleaned and is required to be intelligible for reading by human. As a solution to this complexity problem a number of tools are present which may be repeated until relevant data is obtained.

Digital Forensic and Machine Learning

2020 ◽  
pp. 576-592
Author(s):  
Poonkodi Mariappan ◽  
Padhmavathi B. ◽  
Talluri Srinivasa Teja
Keyword(s):  
Human Mind ◽  
Digital Evidence ◽  
Contemporary World ◽  
Forensic Research ◽  
Digital Forensic ◽  
Research Workshop ◽  
Complexity Problem ◽  
Three Stages ◽  
The Hard Problem ◽  
Proven Method

Digital Forensic as it sounds coerce human mind primarily with exploration of crime. However in the contemporary world, digital forensic has evolved as an essential source of tools from data acquisition to legal action. Basically three stages are involved in digital forensic namely acquisition, analysis and reporting. Digital Forensic Research Workshop (DFRW) defined digital forensic as “Use of Scientifically derived and proven method towards the identification, collection, analysis, interpretation, documentation and presentation of digital evidence derived from digital sources for the purpose of facilitating or furthering the reconstruction of event to be criminal”. The hard problem in digital forensic is such that the acquired data need to be cleaned and is required to be intelligible for reading by human. As a solution to this complexity problem a number of tools are present which may be repeated until relevant data is obtained.

Digital Forensic and Machine Learning

2020 ◽  
pp. 655-672
Author(s):  
Poonkodi Mariappan ◽  
Padhmavathi B. ◽  
Talluri Srinivasa Teja
Keyword(s):  
Human Mind ◽  
Digital Evidence ◽  
Contemporary World ◽  
Forensic Research ◽  
Digital Forensic ◽  
Research Workshop ◽  
Complexity Problem ◽  
Three Stages ◽  
The Hard Problem ◽  
Proven Method

Digital Forensic as it sounds coerce human mind primarily with exploration of crime. However in the contemporary world, digital forensic has evolved as an essential source of tools from data acquisition to legal action. Basically three stages are involved in digital forensic namely acquisition, analysis and reporting. Digital Forensic Research Workshop (DFRW) defined digital forensic as “Use of Scientifically derived and proven method towards the identification, collection, analysis, interpretation, documentation and presentation of digital evidence derived from digital sources for the purpose of facilitating or furthering the reconstruction of event to be criminal”. The hard problem in digital forensic is such that the acquired data need to be cleaned and is required to be intelligible for reading by human. As a solution to this complexity problem a number of tools are present which may be repeated until relevant data is obtained.

scholarly journals Investigating Cyberbullying on WhatsApp Using Digital Forensics Research Workshop

2020 ◽  
Vol 4 (4) ◽  
pp. 730-735
Author(s):  
Imam Riadi ◽  
Sunardi ◽  
Panggah Widiandana
Keyword(s):  
Social Media ◽  
Digital Forensics ◽  
Instant Messaging ◽  
Cosine Similarity ◽  
Digital Evidence ◽  
Forensic Research ◽  
Digital Forensic ◽  
Research Workshop ◽  
Similarity Method ◽  
Different Levels

Cyberbullying in group conversations in one of the instant messaging applications is one of the conflicts that occur due to social media, specifically WhatsApp. This study conducted digital forensics to find evidence of cyberbullying by obtaining work in the Digital Forensic Research Workshop (DFRWS). The evidence was investigated using the MOBILedit Forensic Express tool as an application for evidence submission and the Cosine Similarity method to approve the purchase of cyberbullying cases. This research has been able to conduct procurement to reveal digital evidence on the agreement in the Group's features using text using MOBILedit. Identification using the Cosine method. Similarities have supported actions that lead to cyberbullying with different levels Improved Sqrt-Cosine (ISC) value, the largest 0.05 and the lowest 0.02 based on conversations against requests.  

Cyber Forensics Evolution and Its Goals

2020 ◽  
pp. 16-30
Author(s):  
Mohammad Zunnun Khan ◽  
Anshul Mishra ◽  
Mahmoodul Hasan Khan
Keyword(s):  
Life Cycle ◽  
Personal Computer ◽  
Police Officers ◽  
Digital Forensics ◽  
Computer Forensics ◽  
Digital Evidence ◽  
Cyber Forensics ◽  
Forensic Research ◽  
Research Workshop

This chapter includes the evolution of cyber forensics from the 1980s to the current era. It was the era when computer forensics came into existence after a personal computer became a viable option for consumers. The formation of digital forensics is also discussed here. This chapter also includes the formation of cyber forensic investigation agencies. Cyber forensic life cycle and related phases are discussed in detail. Role of international organizations on computer evidence is discussed with the emphasize on Digital Forensic Research Workshop (DFRWS), Scientific Working Group on Digital Evidence (SWDGE), chief police officers' involvement. Authenticity-, accuracy-, and completeness-related pieces of evidence are also discussed. The most important thing that is discussed here is the cyber forensics data.

scholarly journals Comparative analysis of Forensic Tools on Twitter applications using the DFRWS method

2020 ◽  
Vol 4 (5) ◽  
pp. 829-836
Author(s):  
Ikhsan Zuhriyanto ◽  
Anton Yudhana ◽  
Imam Riadi
Keyword(s):  
Social Media ◽  
Hate Speech ◽  
Smartphone Application ◽  
Digital Evidence ◽  
Forensic Evidence ◽  
Digital Forensic ◽  
Research Workshop ◽  
The Social ◽  
Forensic Tools ◽  
Media Applications

Current crime is increasing, one of which is the crime of using social media, although no crime does not leave digital evidence. Twitter application is a social media that is widely used by its users. Acts of crime such as fraud, insults, hate speech, and other crimes lately use many social media applications, especially Twitter. This research was conducted to find forensic evidence on the social media Twitter application that is accessed using a smartphone application using the Digital Forensics Research Workshop (DFRWS) method. These digital forensic stages include identification, preservation, collection, examination, analysis, and presentation in finding digital evidence of crime using the MOBILedit Forensic Express software and Belkasoft Evidence Center. Digital evidence sought on smartphones can be found using case scenarios and 16 variables that have been created so that digital proof in the form of smartphone specifications, Twitter accounts, application versions, conversations in the way of messages and status. This study's results indicate that MOBILedit Forensic Express digital forensic software is better with an accuracy rate of 85.75% while Belkasoft Evidence Center is 43.75%.

Forensic Data Extraction and Analysis of Left Artifacts on emulated Android Phones: A Case Study of Instant Messaging Applications

2017 ◽  
Vol 2 (11) ◽  
pp. 8-16
Author(s):  
Moses Ashawa ◽  
Innocent Ogwuche
Keyword(s):  
Mobile Phones ◽  
Instant Messaging ◽  
Data Extraction ◽  
Digital Evidence ◽  
Cyber Attack ◽  
Forensic Evidence ◽  
Digital Forensic ◽  
Proportional Increase ◽  
Forensic Tools

The fast-growing nature of instant messaging applications usage on Android mobile devices brought about a proportional increase on the number of cyber-attack vectors that could be perpetrated on them. Android mobile phones store significant amount of information in the various memory partitions when Instant Messaging (IM) applications (WhatsApp, Skype, and Facebook) are executed on them. As a result of the enormous crimes committed using instant messaging applications, and the amount of electronic based traces of evidence that can be retrieved from the suspect’s device where an investigation could convict or refute a person in the court of law and as such, mobile phones have become a vulnerable ground for digital evidence mining. This paper aims at using forensic tools to extract and analyse left artefacts digital evidence from IM applications on Android phones using android studio as the virtual machine. Digital forensic investigation methodology by Bill Nelson was applied during this research. Some of the key results obtained showed how digital forensic evidence such as call logs, contacts numbers, sent/retrieved messages, and images can be mined from simulated android phones when running these applications. These artefacts can be used in the court of law as evidence during cybercrime investigation.

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