Digital Forensics and Cyber Forensics Investigation: Security Challenges, Limitations, Open Issues, and Future Direction

2022 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Shafique Ahmed Awan ◽  
M. Malook Rind ◽  
Mazhar Ali Dootio ◽  
Abdullah Ayub Khan ◽  
Aftab Ahmed Shaikh ◽  
...  
Keyword(s):  
Digital Forensics ◽  
Cyber Forensics ◽  
Security Challenges ◽  
Future Direction ◽  
Open Issues

A Comprehensive Analysis of Image Forensics Techniques: Challenges and future Direction

2019 ◽  
Vol 13 ◽  
Author(s):  
Mohd Dilshad Ansari ◽  
Ekbal Rashid ◽  
S Siva Skandha ◽  
Suneet Kumar Gupta
Keyword(s):  
Image Forensics ◽  
Digital Era ◽  
Current State ◽  
Benchmark Datasets ◽  
Passive Authentication ◽  
Prime Objective ◽  
Future Direction ◽  
Source Of Information ◽  
Research Domain ◽  
Open Issues

Background: image forensics deal with the problem of authentication of pictures or their origins. There are two types of forensics techniques namely active and passive. Passive forgery is also known as blind forensics technique. In passive forgery, copy-move (cloning) image forensics is most common forgery technique. In this approach, an object or region of a picture is copied and positioned somewhere else in the same image. Active method used watermarking to solve picture genuineness problem. It has limitations like human involvement or particularly equipped cameras. To overwhelm these limitations, numerous passive authentication approaches have been developed. Moreover, both approaches do not require any prior information about the picture. Objective: The prime objective of this survey is to provide an inclusive summary as well as recent advancement, challenges and future direction in image forensics. In Today’s digital era the digital pictures and videos are having great impact on our life as well as society, as they became the important source of information. Though earlier it was very difficult to doctor the picture, nowadays digital pictures can be doctored easily with the help of editing tools and internet. These practices make pictures as well as videos genuineness deceptive. Conclusion: This paper presents the current state-of- the-art of passive (cloning) image forensics techniques, challenges and future direction of this research domain. Further, the major open issues in developing a robust cloning image forensics detector with their performance are discussed. Lastly, the available benchmark datasets are also discussed

Password Recovery Research and its Future Direction

2012 ◽  
pp. 192-206
Author(s):  
Vrizlynn L. L. Thing ◽  
Hwei-Ming Ying
Keyword(s):  
Human Nature ◽  
Digital Forensics ◽  
The Other ◽  
Sorting Algorithm ◽  
Other Hand ◽  
Rainbow Table ◽  
Password Protection ◽  
Recovery Performance ◽  
Time Memory Tradeoff ◽  
Future Direction

As users become increasingly aware of the need to adopt strong password, it brings challenges to digital forensics investigators due to the password protection of potential evidentiary data. On the other hand, due to human nature and their tendency to select memorable passwords, which compromises security for convenience, users may select strong passwords by considering a permutation of dictionary words. In this chapter, the authors discuss the existing password recovery methods and identify promising password recovery approaches. They also present their previous work on the design of a time-memory tradeoff pre-computed table coupled with a new sorting algorithm, and its two new storage mechanisms. The results on the evaluation of its password recovery performance are also presented. In this chapter, the authors propose the design of a new password recovery table by integrating the construction of common passwords within the enhanced rainbow table to incorporate the two promising password recovery approaches. They then present the theoretical proof of the feasibility of this technique.

Unleashing the Convergence of Cloud Computing With Internet of Things

2021 ◽  
pp. 1-22
Author(s):  
Nalina Suresh ◽  
Valerianus Hashiyana ◽  
Martin Mabeifam Ujakpa ◽  
Anton Limbo ◽  
Gloria E. Iyawa ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Vital Role ◽  
The Internet ◽  
Research Topics ◽  
Computer Research ◽  
Future Direction ◽  
The Internet Of Things ◽  
Open Issues

The term “cloud of things” is currently in the forefront of computer research topics due to its vital role towards the internet of things. To integrate cloud computing and internet of things into a single technology or worldview, this chapter discussed the evolution of internet of things and cloud computing and reviewed literature on cloud computing and internet of things and their possible integration. The chapter also discussed the importance of cloud internet of things, its architecture, and operation; the need to integrate internet of things and cloud computing; and challenges of cloud internet of things. The chapter then used the identified open issues and future direction to propose a generic cloud internet of things architecture and pilot simulated the results to verify the possibility and effectiveness of cloud computing and internet of things (CIoTs) integration. The researchers believe that the chapter will provide a better insight for anyone who wishes to carry out research in the field of cloud internet of things.

Development and Various Critical Testing Operational Frameworks in Data Acquisition for Cyber Forensics

2020 ◽  
pp. 88-102
Author(s):  
Abhineet Anand ◽  
M. Arvindhan
Keyword(s):  
Data Acquisition ◽  
Digital Forensics ◽  
Digital Data ◽  
Court Cases ◽  
Cyber Forensics ◽  
Digital Devices ◽  
Private Lives ◽  
Or Methodology ◽  
Crime Detection ◽  
Operational Frameworks

Digital forensics is the science of preserving and analyzing digital data; this data can then be used in court cases as well as for crime detection and prevention. Digital forensics began in the 1970s and was initially used as a tool for fighting financial crime. Today, with computers and digital devices being an integral part of our professional and private lives, digital forensics are used/needed in a wide variety of disputes. Data Acquisitions is described and discuss different techniques or methodology obtain the data, facts, and figures from different resource and at a different level of the system.

Digital Forensics in Distributed Environment

2019 ◽  
pp. 1157-1177
Author(s):  
Asha Joseph ◽  
K. John Singh
Keyword(s):  
Operating Systems ◽  
Digital Forensics ◽  
Distributed Environment ◽  
Event Monitoring ◽  
Cyber Forensics ◽  
Cloud Systems ◽  
Model Mapping ◽  
Digital Crime ◽  
Rule Sets ◽  
Mapping Mechanism

This chapter is about an ongoing implementation of a digital forensic framework that could be used with standalone systems as well as in distributed environments, including cloud systems. It is oriented towards combining concepts of cyber forensics and security frameworks in operating systems. The framework consists of kernel mechanisms for data and event monitoring. The system monitoring is done in kernel mode by various kernel modules and forensic model mapping is done in user mode using the data collected by those kernel modules. Further, the authors propose a crime model mapping mechanism that makes use of rule sets that are derived from common cyber/digital crime patterns. The decision-making algorithm can be easily extended from a node in a computing cluster, to a cloud. The authors discuss the challenges to digital forensics in distributed environment and cloud extensions and provide some case studies where the proposed framework is applied.

The Fundamentals of Digital Forensics and Cyber Law

2019 ◽  
pp. 21-44
Author(s):  
Kirti Raj Raj Bhatele ◽  
Deepak Dutt Mishra ◽  
Himanshu Bhatt ◽  
Karishma Das
Keyword(s):  
United States ◽  
United Kingdom ◽  
Law Enforcement ◽  
Digital Forensics ◽  
Cyber Terrorism ◽  
Cyber Forensics ◽  
The World ◽  
Cyber Crimes ◽  
Indian Law ◽  
Definition Of

This chapter provides prerequisites associated with cyber crimes, cyber forensics, and law enforcement. It consists of a brief introduction to the definition of cyber crimes, its classification, challenges associated with it and how it evolved with time, impact on the society, cyber terrorism, and the extent of problem scalability along with focusing on law enforcement aspects associated with the tracking and the prevention from such type crimes. The aspects discussed here include various cyber laws and law enforcement techniques introduced by various countries throughout the world which helps them to fight against cyber crimes. The cyber laws discussed include Australian, Canadian, United States, United Kingdom, and Indian law. This chapter also deals with the digital/cyber forensics, what does digital/cyber forensics mean, its types, and laws/rules revolving around them, like how to collect evidence, jurisdictions, and e-discovery.

Digital Forensics in Distributed Environment

2018 ◽  
pp. 246-265
Author(s):  
Asha Joseph ◽  
K. John Singh
Keyword(s):  
Operating Systems ◽  
Digital Forensics ◽  
Distributed Environment ◽  
Event Monitoring ◽  
Cyber Forensics ◽  
Cloud Systems ◽  
Model Mapping ◽  
Digital Crime ◽  
Rule Sets ◽  
Mapping Mechanism

This chapter is about an ongoing implementation of a digital forensic framework that could be used with standalone systems as well as in distributed environments, including cloud systems. It is oriented towards combining concepts of cyber forensics and security frameworks in operating systems. The framework consists of kernel mechanisms for data and event monitoring. The system monitoring is done in kernel mode by various kernel modules and forensic model mapping is done in user mode using the data collected by those kernel modules. Further, the authors propose a crime model mapping mechanism that makes use of rule sets that are derived from common cyber/digital crime patterns. The decision-making algorithm can be easily extended from a node in a computing cluster, to a cloud. The authors discuss the challenges to digital forensics in distributed environment and cloud extensions and provide some case studies where the proposed framework is applied.

Digital Forensics of Cybercrimes and the Use of Cyber Forensics Tools to Obtain Digital Evidence

2021 ◽  
pp. 45-68
Keyword(s):  
International Collaboration ◽  
Digital Forensics ◽  
Lessons Learned ◽  
Digital Evidence ◽  
Collaboration Networks ◽  
Forensic Evidence ◽  
Digital Ecosystems ◽  
Cyber Forensics ◽  
Chain Of Custody ◽  
New Strategies

This chapter evaluates the most relevant methodologies and best practices for conducting digital investigations, preserving digital forensic evidence and following chain of custody (CoC) of cybercrimes. Cybercriminals are assuming new strategies to launch their sophisticated cyberattacks within the ever-changing digital ecosystems. The authors recommend that digital investigations must continually shift to tackle cybercrimes and prosecute cybercriminals to increase international collaboration networks, to share prevention knowledge, and to analyze lessons learned. They also establish a cyber forensics model for miscellaneous ecosystems called cyber forensics model in digital ecosystems (CFMDE). This chapter also reviews the most important categories of tools to conduct digital investigations. Nevertheless, as the cybercrime sophistication keeps improving, it is also necessary to harden technologies, techniques, methodologies, and tools to acquire digital evidence in order to support and make cyber investigation cases stronger.

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