Forensic Evidence Analysis Research Topics

Forensic Evidence Analysis research topics are utilized in this research to monitor and control the cybercrimes or to secure the information or data with the assistance of this forensic evidence analysis technique. Here we give the details which are relevant to this proposed technology.

1. Define Forensic Evidence Analysis

In the beginning of the research we see the definition for this proposed forensic evidence analysis. It consists of understanding and analysis of the digital data created by connecting the devices over the IoT ecosystems. This procedure intends to discover the evidence related to the examination of security breaches, cybercrimes or any other incidents consisting of IoT devices.

2. What is Forensic Evidence Analysis?

There after the definition, here we overview the detailed description for these proposed techniques. IoT based forensics is the method to examine the crimes. Law enforcement or Administration will require specialists to collect and safely preserve the data when examining whether the hackers utilized the internet-linked devices to commit cybercrime or to analyze the starting point of a security breach.

3. Where Forensic Evidence Analysis used?

Afterwards the detailed description we discuss where to use this proposed strategy. The IoT based Forensic evidence is employed in different domains where the IoT devices are utilized and where the security breaches or incidents will happen. In addition the IoT forensic evidence analysis is employed where the IoT devices are used to analyze security breaches, incidents, and other abnormalities that will happen on IoT healthcare, environments, home, spanning industries, critical infrastructure and transportation.

4. Why Forensic Evidence Analysis technology proposed? , previous technology issues

In this research the IoT-based forensic application controls several tasks containing the analysis of the evidence, storage and gathering to provide results for the increase in cybercrimes. The previous technology concentrates mainly on the administration and protection of networks, but these techniques will handle some issues, which are as follows: Evidence collection issues, Insecure in authentication procedure and Hash functions Complexity and Security.

5. Algorithms / protocols

Here we see the algorithm or protocol to be used for this proposed strategy forensic evidence analysis on the basis of IoT. The methods that we used to enhance the outcome of the findings are: Logistic Regression and Genetic Optimization (LogiGen Optimizer), Shape Code Combination (SCC), Actor-Critic with Experience Replay with Random Forest (A-C with ER-RF), Random Forest with a Rule-Based System (RF-RBS), Elliptic Curve Integrated Encryption Scheme (ECIES) and BLAKE3.

6. Comparative study / Analysis

The comparative analysis section analyzes various methods to improve the efficiency of this proposed methodology.

• To enhance the level of security in the network with the assistance of protective authentication in IoT devices which fight against the attackers.
• Forensic analysis assists in examining the evidence efficiently in which the evidence is created as a concept map by utilizing novel techniques which improves the effectiveness of evidence analyzing.
• We ensure the integrity by validating the packets to take out both flow and packet-based structures from the incoming packets by utilizing the assistance of Double layer- based packet verification.
• Distributed evidence gathering will increase the effectiveness of the evidence gathering in which the evidence is kept safely in blockchain in a hashed format by utilizing an efficient algorithm that will offer increased protection.

7. Simulation results / Parameters

Our proposed research is compared by evaluating the performance of proposed technology. To enhance the performance of this proposed technology we compare the following metrics in this research. Evidence verification time, Authentication time, delay, Evidence insertion time and throughput with Number of devices and the computational overhead with Number of evidence then the energy efficiency with Total number of transactions and the block generation time with transactions then the detection accuracy with Number of malicious packets. These are all the metrics that are compared with the existing techniques to improve the results accuracy.

8. Dataset LINKS / Important URL

We proposed the IoT based Forensic evidence analysis technology to safeguard the data from cybercrimes. Here the provided links are used to overview the concepts for this proposed technique.

• https://ieeexplore.ieee.org/abstract/document/9295823/
• https://www.sciencedirect.com/science/article/pii/S1877050922021226/pdf?md5=b30fa75b56d2a61cc03f1a0f602174ae&pid=1-s2.0-S1877050922021226-main.pdf
• https://ieeexplore.ieee.org/iel7/6287639/6514899/09786787.pdf

9. Forensic Evidence Analysis Applications

Now we see the applications that are to be used for this proposed technique. It identifies the applications in some different regions. It is integral to cybersecurity analysis, assisting the investigation of digital footprints that were left by IoT devices over security events. In addition it plays an important role in legal measures, offering some valued digital evidence in cases ranging from cybercrimes to knowledgeable materials disputes. This analytical technique is also protective, permitting the associations to find and tackle possible susceptibilities in IoT environment when they arise into important security issues. On the whole, in the IoT forensics assists in compliance, proactive risk management, multifaceted tools and contributing to security in different fields.

10. Topology for Forensic Evidence Analysis

This proposed forensic evidence analysis techniques topology combines machine learning techniques, offering a strong protection apparatus for network security.

11. Environment for Forensic Evidence Analysis

Now the environment for this research will create a protective and dynamic network environment over its comprehensive topology and innovative forensic techniques.

Simulation tools

The software requirements that needed for this research are as follows. The developmental tool that is utilized for this research is NS 3.26 or Above Version. Then the programming languages here we employed for this research are C++ and Python. The operating system utilized to implement this research is Ubuntu 16.06 [LTS] or Above Version.

13. Results

We propose an IoT based Forensic evidence analysis technique that is now widely used in many applications and it is a wireless communication system. In these we compared various techniques or methods to overcome previous issues and here the performance metrics are contrasted to obtain the best findings for this research. The tool that is utilized to develop the research is NS 3.26 or above version.

Forensic Evidence Analysis Research Ideas:

Below we offered are some of the research topics which are relevant to this IoT based Forensic evidence analysis and these topics are helpful to us when we go through the explanations or details related to our proposed research:

1. Examining Digital Forensic Evidence for Android Applications
2. Forensic Technologies to Automate the Acquisition of Digital Evidences
3. SSD Forensic: Evidence Generation and Forensic Research on Solid State Drives Using Trim Analysis
4. Raspberry Pi Forensic Investigation and Evidence Preservation using Blockchain
5. Comparative Analysis of Recovery Tools For Digital Forensic Evidence Using NIST Framework 800-101 R1
6. Detection of relevant digital evidence in the forensic timelines
7. Forensic Evidence Collection From Windows Host Using Python Based Tool
8. A Framework to Reconstruct Digital Forensics Evidence via Goal-Oriented Modeling
9. Discord Server Forensics: Analysis and Extraction of Digital Evidence
10. An Efficient Fingerprint Analysis and DNA Profiling from the Same Latent Evidence for the Forensic Applications
11. Digital Forensic Analysis of Online Dating Applications on Android Using the Digital Forensic Research Workshop 2001 Investigation Model
12. Forensic Analysis on Joker Family Android Malware
13. Enhancing Forensic Voice Analysis with the Aid of Noise Cancellation: A Forensic Approach
14. Research on Fast Forensic Analysis Method of Fraud cases Based on Social Software
15. Internet of Things (IoT) Network Forensic Analysis Using the Raspberry Pi 4 Model B and Open-Source Tools
16. Performance Analysis of Forensic Programs on SQLite Corpus
17. Forensic Analysis of I2P Communication Network in Android and macOS Environments
18. A Deep Learning Based Fast Face Detection and Recognition Algorithm for Forensic Analysis
19. Forensic Analysis of Gurmukhi Letters based on Zone Division for Verification
20. Linux Forensic Analysis and Extraction Tool
21. Forensic Acquisition and Analysis of Webpage
22. Digital Forensic Analysis on Caller ID Spoofing Attack
23. Forensic Analysis of Tor Browser on Windows 10 and Android 10 Operating Systems
24. Enhancing Forensic Analysis Using a Machine Learning-based Approach
25. A Review on Forensic Investigation Analysis in Cloud Computing Environments
26. An Enhanced Forensic Analysis and Security Surveillance Using Deep Reinforcement Learning
27. Forensic Document Analysis Using Hyperspectral Imaging and Deep Convolutional Spectral Clustering
28. Digital Forensic Analysis of Ransomware Attacks on Industrial Control Systems: A Case Study in Factories
29. A Forensic Analysis Procedure for Dark Web Drug Marketplaces
30. Forensic Investigation Analysis of WhatsApp Messenger and Telegram Messenger on Android Based Device
31. Digital Forensic Analysis of Hologram Projection Fans
32. An Overview on Handling Anti Forensic Issues in Android Devices Using Forensic Automator Tool
33. Comparative Analysis of Network Forensic Tools on Different Operating Systems
34. Forensic Analysis of Binary Structures of Video Files
35. Mobile Device and Social Media Forensic Analysis: Impacts on Cyber-Crime
36. Digital Forensic Analysis of AGPTEK Smartwatch Application on Android OS
37. Generic Proactive IoT Cybercrime Evidence Analysis Model for Digital Forensics
38. Forensic Extraction and Analysis of Signal Application in Android Phones
39. Enhancing Digital Investigation: Leveraging ChatGPT for Evidence Identification and Analysis in Digital Forensics
40. A Framework for Storage-Accuracy Optimization of IoT Forensic Analysis
41. AFES: An Advanced Forensic Evidence System
42. Forensic Analysis of Fitbit Versa: Android vs iOS
43. Forensic Analysis of Amazon Alexa Echo Dot 4th Generation
44. A Study on the Forensic Analysis of Airlines Applications on Android Operating System
45. A fuzzy decision tree reasoning method for network forensics analysis
46. Identify Fake Author in Indonesia Crime Cases: A Forensic Authorsip Analysis Using N-gram and Stylometric Features
47. Forensic analysis of IoT ecosystem
48. Towards Internet of Things (IoT) Forensics Analysis on Intelligent Robot Vacuum Systems
49. Forensic Analysis of Video Files Using Metadata
50. Digital Forensic Analysis of Ransomware Attacks on Virtual Private Networks: A Case Study in Factories