Digital Forensics is a platform that comprises investigation techniques to examine the stored data by using smart logical functions. Through this end-to-end investigation, the investigator will acquire the evidence of a specific incident for the law of court presentation. In fact, digital forensic is the subset of the forensic science field which is rapidly growing in recent information-oriented research. This field is sophisticated with the latest forensic tools and technologies to obtain accurate evidence.

This article is targeted to deliver creative research notions for Digital Forensics Thesis along with significant research areas!!!

Further, digital forensics also comprises algorithms, pre-defined functions, techniques, and other elements that enable the investigator to frame acceptable evidence with high accuracy. With the intention of achieving accurate evidence, the investigator implements different pattern identification methods. Generally, forensic analysis comprises three classifications of data patterns as user-oriented, general-purpose, and device-oriented. Let’s see what are elements considered as patterns in forensic analysis based on classifications. 

What are the patterns observed in forensic analysis?

• User-oriented Data
  • Visited websites
  • Suspect credentials
  • Different behavior patterns of users
  • Social media interaction
  • Login time
  • Downloaded files list
  • Session time
  • VoIP information
• General Data
  • Email (Messages and Attachments)
  • Transmitted files
  • Rendered HTML documents
  • Image files
  • Downloaded files
• Device-oriented data
  • IP address
  • Different patterns of attack
  • Internet Service Provider
  • Geographical location
  • System manufacturer

Now, we can see the different research domains of digital forensics that give tremendous research ideas for innovative research work. Currently, our research team is working on all the applicable domains which have extended future research scope. For your information, here we have listed only a few significant domains with their core characteristics. Further, if you want to know extra details about the research challenges, issues, Digital Forensics Thesis Topics in the following domains then approach our team. We let you know everything that you want from us.

Important Domains in Digital Forensics

• Internet and Network Forensics
  • Specifically work on network oriented actions / events
  • For instance: network event and storage analysis
  • Efficient to detect the data sources
• Multimedia Forensics
  • Allow to analyze the multimedia information (image / video)
  • Identify the hints of data manipulation
  • Simple to reveal hidden information
• Computer Forensics
  • One of the eldest technique to inspect storage devices
  • For instance: DVD, flash memory, HDD, CD, SSD, etc.
• Live Forensics
  • Focuses on line information which unable to turn-off while execution
  • For instance: RAM, cache, etc.
• Cloud Forensics
  • Launched for handling cloud computing oriented internet services in distributed environment
  • For instance: software and hardware (analysis) 
• Embedded Forensics
  • Ability to find the unknown functionalities / features of embedded systems
  • For instance: detectors, triggers explosives, actuators, etc.
• Mobile Forensics
  • Intended to examine the data with respect to memory of mobile devices
  • For instance: Tablets, satellite navigator, smartphones, etc.

Furthermore, our team has given you information about the steps involved in modeling / developing the digital forensic framework. From this procedure, you can understand the common workflow of the digital forensic framework. In some cases, it may differ based on the requirements of the proposed research intention. At that moment, we direct you on the right path of research by our expert’s supervision. 

Digital Forensics Framework

• Step1 – Preparation
  • Prior to modeling analyze the available resources (experts / devices)
• Step 2 – Detection and Collection
  • Detect the possible sources of evidences
  • Assure the legitimate access for data collection and protection over network account
  • Perform physical inspection and device information recording
• Step 3 – Protection
  • Make the copy of collected data over onsite and offsite
• Step 4 – Reduction and Storage
  • Implement data reduction techniques in the case of large-copied data
  • Make the logical evidence storage system
• Step 5 – Assessing and Mining of Data
  • Utilize intelligent techniques of forensic analysis to perform review of collected data
• Step 6 – Data of Open and Closed Sources
  • Look for add-on data sources depends on reviewed data
  • For instance: LEA holdings, open / closed source, etc.
  • Again include the new source information in review 
• Step 7 – Examination of Evidence
  • Execute the analysis process by standard techniques
• Step 8 – Presentation
  • Prepare the documentation over investigate data
• Step 9 – Completion
  • Securely maintain the backup and documents and analyze the acquired knowledge on proposed model

Although this field gains enormous attention due to its unique advantages, it is also coupled with certain limitations on working with real-time large-scale data. Here, we have listed few issues with their effective solutions. We assist you not only on these challenges but also on other issues that are seeking for best solutions. Further, we also collected other latest challenging research problems to support you in every part of the digital forensic field.

Research Challenges in Digital Forensics

• Inaccessibility over technical framework
  • Solutions
    • Utilization of open-source software (analytics)
    • Perform cloud based investigation, storage and transmission
• Lack of privacy
  • Solutions
    • Enforcement of privacy policies, norms and duties
    • Employment privacy related schemes
    • For instances – user authorization, data encryption, network segregation, etc.
• Over-fitting analytical models
  • Solution
    • Utilize different sources for testing and verifying model
• Insecurity over data repositories and cyber system
  • Solutions
    • Enforcement of security policies
    • Employment security related schemes
    • For instances – network segregation, digital certificates, signature, encryption, access control, etc.
• No proper standardized languages and technologies
  • Solutions
    • NLP and data acquisition strategies

Next, we can see the different security threats over digital forensics. Since security is the evergreen research area in digital forensics. Even if you choose some other domains, the security aspect of your proposed system should be improved for system efficiency. So, here we have itemized some different sorts of security threats for your awareness. Moreover, we also included the possible security attacks under each classified threat. Let’s have a quick glance over them in the following,

Types of Security Threats

• Exploitation Threats
  • Usually involves attacks related to information and communication technologies
    • Denial of Service
    • Malicious Code Execution
    • Illegal remote access of vehicle
• Interference Threats
  • All these attacks aimed to interrupt the data transmission in network
    • Man-in-the-middle attacks
    • Reconnaissance attacks
    • Replay attacks
  • Specially affect the internal transmission among vehicles, cloud and ECUs
• Information threats
  • Data of smart vehicle over networks
  • Threat of data loss and data leakage over connected cloud
• Physical Threats
  • Side channel attacks – Disclose the private data
  • Launching data glitches – Modify interfaces by illegal access rights
  • Fault-injected ECU –  Break the central lock models
• Malicious code
  • Often incorporate with infotainment system
  • Support platform of windows, Linux and android
  • Malicious code is applied to compromise entire system
  • Probable to affect cloud services

In addition, we have also included the latest techniques used for solving many challenging technical / research problems in digital forensics. Beyond these techniques, we are supporting several algorithms, procedures, protocols, and methodologies. In the case of tricky problems, we design our own solutions or implement hybrid technologies to tackle the problems in digital forensics thesis. Overall, we have more than enough knowledge in proposing best-fitting solutions for any kind of challenge. 

Current Approaches for Digital Forensics

• Artifact Wiping
  • File wiping
  • Disk degaussing and cleaning methods
• Tamper detection
  • Hashing, Hardware-based and Rule-based
• Information Hiding
  • Steganography and Encryption
• Anomaly Detection
  • Timestamp-based
  • User Profiling
  • Log Clustering
  • Machine learning
• Event Correlation and Reconstruction
  • Semantic model
  • Timestamp-based
  • Rule-based
  • Virtual and Finite-state Machines
  • Graph / Tree-based
  • Reconstruction of Live event
  • Database
• Retrieval of OS log
  • Live data capture, XML-based and database

So far, we have discussed the digital forensics basics, framework modeling, challenges, and techniques. Now, our developers like to share the significant development tools, technologies, and programming languages of digital forensics thesis. By default, our developers are skilful in practicing the latest innovations in implementation to provide you results in up-to-date tools. Specifically, we found following tools are efficient in enhancing the performance of the digital forensic model. Additionally, we also support you in other major tools like FixEvt, Event Log Manager, LogParser, Event Log Explorer, GFI EventsManager, EventLog Analyzer, etc.

Digital Forensics Simulation Tools

• PyFlag – Python
• SPlunk – Java, Ruby, Javascript, Python, PJP, C#
• EVTXtract – Python
• SEC – Perl
• Cyberforensics TimeLab – Perl and C#
• Log2timeline – Python
• EARL – Lisp
• AuditParser – Python
• Evtx_view, evtwalk and elmo – C++
• Volatility Evtlogs – Python
• PowerForensics – PowerShell and C#
• Logstash, Kibana and Elasticsearch – Java, Javascript and Ruby
• PSRecon – PowerShell
• Event2Timeline – Javascript and Python
• Kansa – PowerShell
• Timesketch – Typescript and python

Further, our developers also included the largely used dataset for digital forensics Thesis. In the development phase, dataset selection is a significant process next to tool selection. Since the output of the developed model largely depends on the handpicked dataset. So, it is necessary to know the different ways that help to enhance the value of the dataset for accomplishing the best system performance.

How to improve the dataset for digital forensics?

• Creation of Dataset
  • Perform extensive study on software through online sources
  • Make the dataset based on review of web search for anti-digital forensic tool
• Organization of Dataset
  • Set the identifiable and descriptive variables for every tool
  • For instance: first release, anti-forensic category, subcategory, etc.
  • Source of datasets:
    • User-based
      • For instance: real-time information
    • Computer-based
      • For instance: /dev/urandom, algorithm, bot,etc)
    • Experiment-based
      • For instance: user-specified scenarios
• Analysis of Dataset
  • For comprehensive overview of evidences, conduct thorough inspection over collected data

• of collected data

For your information, here we have given you three popularly used datasets for digital forensics. Let’s have a look over them.

Some of the datasets are following,

• 9/11 Hijackers Network Dataset
  • Dataset – mode matrix (19*19 terrorist)
  • Count – 61 nodes
• Malware Analysis Dataset
  • Dataset –  malicious binaries images
  • Count – 40,000 images
  • Purpose – Machine Learning based Malware Classification / Anomaly Detection
• Cyber-Physical Security Testing Dataset
  • Dataset – water distribution hardware-in-the-loop testbed
  • Count – 9 Tanks
  • Purpose – Cyber Threats Identification and Classification
  • Feature – Support ML-AI based Intrusion Detection System

In addition, we have also included the latest digital forensic research notions for your reference. If you are interested we are ready to share other exciting research ideas from current research areas of digital forensics thesis. 

Trending Research Ideas in Digital Forensics 

• Innovations in Cyber Physical System
• Co-operative Preventive Measures Modeling
• Advance Techniques in Biometric Forensics
• New Software Development and Protection
• Forensic based Camera Surveillance
• New Approaches for Application Security
• Network Data Encryption
• Detection of Ransomware and Malware Attacks
• Shared System Security in Distributed Network
• Situation-Aware based Military Defense System
• Improved Privacy Policies for Networed System
• Detection of Security Susceptibilities and Threats
• Bootkit and Rootkit Targeting in Networked Systems
• Liveliness Identification and Template Security
• Data Security in Embedded and SCADA System
• Environment / Network Condition-Aware Assessments
• Infrastructure Security for Mission Critical System

Next, we can see about our thesis writing services for your handpicked digital forensics thesis topics. Since the journey of research is completed only at the time of thesis acceptance. We have a special team of technical writers to prepare the fine-quality thesis in a well-organized format. For thesis, it has a pre-defined structure with 5 chapters. In the following, we explained the 5 chapters with their key information in detail.

How do you structure a Digital Forensics Thesis?

• Introduction
  • Give brief context information
  • Highlight research question in theoretical aspect
  • Provide reason and need of research
  • State the handpicked methodologies
  • Address the key assumption and scope delimitation
• Literature Study
  • Analyze the recent past papers
  • Provide advantages and disadvantages of previous techniques
• Methodologies
  • Design the system model architecture
  • Reveal the methods used to answer handpicked questions
  • Elaborate the techniques and methods in order
  • Give the mathematical equation / formulas
• Data Analysis / Discussion
  • Describe the investigation phase
  • Explain the qualitative and quantitative analysis
  • Express the answer to research questions
  • Define how the result meet the research objective
  • Present the result values
• Conclusions
  • Summarize the overall research work
  • Point out the significance of research
  • State the research question and answer
  • Describe the impact of research, practice and policy in conceptual aspect
  • Outline on limitations
  • Give future research suggestion

On the whole, we assure you that provide you best digital forensics thesis topics, research service, development service, and thesis writing service. Therefore, we are here to create a wonderful opportunity for achieving your research objectives. So, make a bond with us before letting a chance to others.