Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Cover of the book

2020 | OriginalPaper | Chapter

IoT Digital Forensics Readiness in the Edge: A Roadmap for Acquiring Digital Evidences from Intelligent Smart Applications

Authors : Andrii Shalaginov, Asif Iqbal, Johannes Olegård

Published in: Edge Computing – EDGE 2020

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Entering the era of the Internet of Things, the traditional Computer Forensics is no longer as trivial as decades ago with a rather limited pool of possible computer components. It has been demonstrated recently how the complexity and advancement of IoT are being used by malicious actors attack digital and physical infrastructures and systems. The investigative methodology, therefore, faces multiple challenges related to the fact that billions of interconnected devices generate tiny pieces of data that easily comprehend the Big Data paradigm. As a result, Computer Forensics is no longer a simple methodology of the straightforward process. In this paper, we study the complexity and readiness of community-accepted devices in a smart application towards assistance in criminal investigations. In particular, we present a clear methodology and involved tools related to Smart Applications. Relevant artefacts are discussed and analysed using the prism of the Digital Forensics Process. This research contributes towards increased awareness of the IoT Forensics in the Edge, corresponding challenges and opportunities.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
next chapter A Microservice-Based Industrial Control System Architecture Using Cloud and MEC
Footnotes
4
Joint Test Action Group standard.
 
5
In System Programmer.
 
6
Universal Asynchronous Receiver/Transmitter serial convertor.
 
Literature
1.
The application of reverse engineering techniques against the Arduino microcontroller to acquire uploaded applications (2014). Accessed 19 Nov 2019
2.
3.
Alenezi, A., Atlam, H., Alsagri, R., Alassafi, M., Wills, G.: IoT forensics: a state-of-the-art review, challenges and future directions. In: Proceedings of the 4th International Conference on Complexity, Future Information Systems and Risk (2019)
4.
Antonakakis, M., et al.: Understanding the Mirai botnet. In: 26th USENIX Security Symposium, pp. 1093–1110 (2017)
5.
Damshenas, M., Dehghantanha, A., Mahmoud, R., bin Shamsuddin, S.: Forensics investigation challenges in cloud computing environments. In: Proceedings Title: 2012 International Conference on Cyber Security, Cyber Warfare and Digital Forensic (CyberSec), pp. 190–194. IEEE (2012)
6.
Delicato, F.C., Pires, P.F., Batista, T., Cavalcante, E., Costa, B., Barros, T.: Towards an IoT ecosystem. In: Proceedings of the First International Workshop on Software Engineering for Systems-of-Systems, pp. 25–28. ACM (2013)
7.
Dengler, S., Awad, A., Dressler, F.: Sensor/actuator networks in smart homes for supporting elderly and handicapped people. In: 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW 2007), vol. 2, pp. 863–868. IEEE (2007)
8.
9.
Esposito, C., Castiglione, A., Pop, F., Choo, K.K.R.: Challenges of connecting edge and cloud computing: a security and forensic perspective. IEEE Cloud Comput. 4(2), 13–17 (2017)CrossRef
10.
11.
Goudbeek, A., Choo, K.K.R., Le-Khac, N.A.: A forensic investigation framework for smart home environment. In: 2018 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications/12th IEEE International Conference on Big Data Science and Engineering (TrustCom/BigDataSE), pp. 1446–1451. IEEE (2018)
12.
Grance, T., Chevalier, S., Scarfone, K.K., Dang, H.: Guide to integrating forensic techniques into incident response. Technical report (2006)
13.
Hegarty, R., Lamb, D.J., Attwood, A.: Digital evidence challenges in the internet of things. In: INC, pp. 163–172 (2014)
14.
Koen, R., Olivier, M.S.: The use of file timestamps in digital forensics. In: ISSA, pp. 1–16. Citeseer (2008)
15.
Kolias, C., Kambourakis, G., Stavrou, A., Voas, J.: DDoS in the IoT: Mirai and other botnets. Computer 50(7), 80–84 (2017)CrossRef
16.
Kononenko, I., Kukar, M.: Machine Learning and Data Mining: Introduction to Principles and Algorithms. Horwood Publishing Limited (2007)
17.
Lillis, D., Becker, B., O’Sullivan, T., Scanlon, M.: Current challenges and future research areas for digital forensic investigation. arXiv (2016)
18.
Oriwoh, E., Jazani, D., Epiphaniou, G., Sant, P.: Internet of things forensics: challenges and approaches. In: 9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing, pp. 608–615. IEEE (2013)
19.
Perumal, S., Norwawi, N.M., Raman, V.: Internet of things (IoT) digital forensic investigation model: top-down forensic approach methodology. In: 2015 Fifth International Conference on Digital Information Processing and Communications (ICDIPC), pp. 19–23. IEEE (2015)
20.
21.
22.
23.
Sadeghi, A., Wachsmann, C., Waidner, M.: Security and privacy challenges in industrial internet of things. In: 2015 52nd ACM/EDAC/IEEE Design Automation Conference (DAC), pp. 1–6, June 2015
24.
Satyanarayanan, M.: The emergence of edge computing. Computer 50(1), 30–39 (2017)CrossRef
25.
Schatsky, D., Kumar, N., Bumb, S.: Intelligent IoT: Bringing the power of AI to the internet of things (2017)
26.
Shalaginov, A.: Soft computing and hybrid intelligence for decision support in forensics science. In: IEEE Intelligence and Security Informatics, pp. 304–309 (2016)
27.
Shalaginov, A.: Advancing Neuro-Fuzzy Algorithm for Automated Classification in Largescale Forensic and Cybercrime Investigations: Adaptive Machine Learning for Big Data Forensic. Ph.D. thesis, Norwegian University of Science and Technology (2018)
28.
Shalaginov, A., Semeniuta, O., Alazab, M.: MEML: resource-aware MQTT-based machine learning for network attacks detection on IoT edge devices. In: Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing Companion, pp. 123–128. ACM (2019)
29.
30.
Yusoff, Y., Ismail, R., Hassan, Z.: Common phases of computer forensics investigation models. Int. J. Comput. Sci. Inf. Technol. 3(3), 17–31 (2011)
31.
Zulkipli, N.H.N., Alenezi, A., Wills, G.B.: IoT forensic: bridging the challenges in digital forensic and the internet of things. In: International Conference on Internet of Things, Big Data and Security, vol. 2, pp. 315–324. SCITEPRESS (2017)
Metadata
Title
IoT Digital Forensics Readiness in the Edge: A Roadmap for Acquiring Digital Evidences from Intelligent Smart Applications
Authors
Andrii Shalaginov
Asif Iqbal
Johannes Olegård
Copyright Year
2020
Book
Edge Computing – EDGE 2020

Print ISBN: 978-3-030-59823-5

Electronic ISBN: 978-3-030-59824-2

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-59824-2_1

Premium Partner

    Image Credits