Procedures for Digital Forensics and Incident Response on Including Data Integrity Constraints on Solid-State Drives (SSD) - A Literature Review

Author:

Pallivalappil Abdul Shareef1,S. N. Jagadeesha2

Affiliation:

1. Research Scholar, Institute of Computer Science and Information Science, Srinivas University, Mangalore, India.

2. Research Professor, Institute of Computer Science and Information Science, Srinivas University, Mangalore, Karnataka, India.

Abstract

Background/Purpose: To get evidence from suspect computers running on Windows Operating System, law enforcement agencies and corporations follow many standard procedures relevant to Digital Forensics and Incident Response processes. The primary contrast between forensics and incident response is that forensics is evidence-driven and is often more closely connected with criminal activity, while incident response is more focused on discovering, containing, and recovering from breach of security incidents. A guideline is often intended to simplify certain procedures in accordance with a predefined routine or good practice. As data storage technology progresses from hard disc drives (HDDs) to solid-state drives (SSDs), it has become more difficult for Digital Forensics Analysts to perform evidence acquisition tasks from suspicious systems due to file integrity issues. Existing forensic principles and methods were created mostly on the basis of hard disc drive technology. This literature survey analyses several guidelines to identify gaps in SSD Forensic challenges and makes recommendations for improvement. Objective: To survey leading Digital Forensics and Incident Response guidelines on how SSD forensic acquisition procedures are outlined and to find the gaps and suggest enhancements that might be made. Design/Methodology/Approach: Data from academic papers, web articles, and other sources is analysed and presented using ABCD analysis. Findings/Results: Cyber Security Framework is a vital aspect of an organisations strategy to safeguard its IT assets from cyber assaults and other form of damages. Most organisation use NIST framework since it is being generally acknowledged. However, owing to quick improvement in new technologies CSF’s need to be kept up to date in order to confront emerging cyber security threats. After verifying the policy framework of NIST 800-61, it was determined that the SSD forensic gathering approach which raises problems about data integrity has not been addressed. Originality/Value: A study comparing and contrasting different CSFs in the field of Digital Forensics and Incident Response with the most recent emerging technologies will draw more attention to this area from a wider range of stakeholders, allowing the policy framework to keep pace with the most recent emerging technologies in the same time frame. Paper Type: Literature Review Paper.

Publisher

Srinivas University

Subject

General Medicine

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Comprehensive Literature Review on Volatile Memory Forensics;Electronics;2024-07-31

2. The Power of Social Media on Online Buying Behaviour of the Fashion Products: A Quantitative ABCD Analysis;International Journal of Case Studies in Business, IT, and Education;2023-07-26

3. How to Create Business Value Through Technological Innovations Using ICCT Underlying Technologies;International Journal of Applied Engineering and Management Letters;2023-06-30

4. Quantitative ABCD Analysis of Green Marketing for Sustainable Development;International Journal of Case Studies in Business, IT, and Education;2022-12-31

5. Quantitative ABCD Analysis of Online Shopping;International Journal of Applied Engineering and Management Letters;2022-05-31

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3