Challenges of Network Forensic Investigation in Fog and Edge Computing

Author:

Spiekermann Daniel1ORCID,Keller Jörg2ORCID

Affiliation:

1. Faculty of Computer Science, Dortmund University of Applied Sciences and Arts, 44227 Dortmund, Germany

2. Faculty of Mathematics and Computer Science, FernUniversität in Hagen, 58084 Hagen, Germany

Abstract

While network forensics has matured over the decades and even made progress in the last 10 years when deployed in virtual networks, network forensics in fog and edge computing is still not progressed to that level despite the now widespread use of these paradigms. By using an approach similar to software testing, i.e., a mixture of systematic and experience, we analyze obstacles specific to forensics in fog and edge computing such as spatial dispersion and possibly incomplete recordings, and derive how far these obstacles can be overcome by adapting processes and techniques from other branches of network forensics, and how new solutions could look otherwise. In addition, we present a discussion of open problems of network forensics in fog and edge environments and discusses the challenges for an investigator.

Publisher

MDPI AG

Subject

Computer Networks and Communications

Reference62 articles.

1. Davidoff, S., and Ham, J. (2012). Network Forensics: Tracking Hackers through Cyberspace, Prentice Hall.

2. Challenges of network forensic investigation in virtual networks;Spiekermann;J. Cyber Secur. Mobil.,2016

3. Cloud, fog, or edge: Where to compute?;Kimovski;IEEE Internet Comput.,2021

4. Classification of resource management approaches in fog/edge paradigm and future research prospects: A systematic review;Kansal;J. Supercomput.,2022

5. Survey of fog computing: Fundamental, network applications, and research challenges;Mukherjee;IEEE Commun. Surv. Tutor.,2018

Cited by 3 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 Exploration of Digital Forensics Investigations in Embedded Systems, Ubiquitous Computing, Fog Computing, and Edge Computing;2024 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD);2024-08-01

2. Edge and Fog Computing for the Internet of Things;Future Internet;2024-03-16

3. Real-Time Edge Computing Services for Internet of Things-based Cloud Networks;2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA);2024-03-15

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