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:
Big Data and Internet of Things Security and Forensics: Challenges and Opportunities Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Forensic Investigation of Cross Platform Massively Multiplayer Online Games: Minecraft as a Case Study

Authors : Paul J. Taylor, Henry Mwiki, Ali Dehghantanha, Alex Akinbi, Kim-Kwang Raymond Choo, Mohammad Hammoudeh, Reza M. Parizi

Published in: Handbook of Big Data and IoT Security

Publisher: Springer International Publishing

Log in

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

search-config
loading …

Abstract

Minecraft, a Massively Multiplayer Online Game (MMOG), has reportedly millions of players from different age groups worldwide. With Minecraft being so popular, particularly with younger audiences, it is no surprise that the interactive nature of Minecraft has facilitated the commission of criminal activities such as denial of service attacks against gamers, cyberbullying, swatting, sexual communication, and online child grooming. In this research, we simulate the scenario of a typical Minecraft setting, using a Linux Ubuntu 16.04.3 machine, acting as the MMOG server, and client devices running Minecraft. Then, we forensically examine both server and client devices to reveal the type and extent of evidential artefacts that can be extracted.

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
previous chapter Distributed Filesystem Forensics: Ceph as a Case Study
next chapter Big Data Forensics: Hadoop Distributed File Systems as a Case Study
Literature
1.
L. Christopher, K.-K. R. Choo, and A. Dehghantanha, Honeypots for Employee Information Security Awareness and Education Training: A Conceptual EASY Training Model. 2016.
2.
A. Azmoodeh, A. Dehghantanha, M. Conti, and K.-K. R. Choo, “Detecting crypto-ransomware in IoT networks based on energy consumption footprint,” J. Ambient Intell. Humaniz. Comput., pp. 1–12, Aug. 2017.
3.
S. Walker-Roberts, M. Hammoudeh, and A. Dehghantanha, “A Systematic Review of the Availability and Efficacy of Countermeasures to Internal Threats in Healthcare Critical Infrastructure,” IEEE Access, 2018.
4.
Y.-Y. Teing, D. Ali, K. Choo, M. T. Abdullah, and Z. Muda, “Greening Cloud-Enabled Big Data Storage Forensics: Syncany as a Case Study,” IEEE Trans. Sustain. Comput., pp. 1–1, 2017.
5.
Y.-Y. Teing, A. Dehghantanha, and K.-K. R. Choo, “CloudMe forensics: A case of big data forensic investigation,” Concurr. Comput., 2017.
6.
D. Kiwia, A. Dehghantanha, K.-K. R. Choo, and J. Slaughter, “A cyber kill chain based taxonomy of banking Trojans for evolutionary computational intelligence,” J. Comput. Sci., Nov. 2017.
7.
M. Hopkins and A. Dehghantanha, “Exploit Kits: The production line of the Cybercrime economy?,” in 2015 Second International Conference on Information Security and Cyber Forensics (InfoSec), 2015, pp. 23–27.
8.
A. Shalaginov, S. Banin, A. Dehghantanha, and K. Franke, “Machine Learning Aided Static Malware Analysis: A Survey and Tutorial,” 2018, pp. 7–45.
9.
H. H. Pajouh, A. Dehghantanha, R. Khayami, and K.-K. R. Choo, “Intelligent OS X malware threat detection with code inspection,” J. Comput. Virol. Hacking Tech., 2017.
10.
M. Petraityte, A. Dehghantanha, and G. Epiphaniou, A model for android and iOS applications risk calculation: CVSS analysis and enhancement using case-control studies, vol. 70. 2018.
11.
Y.-Y. Teing, A. Dehghantanha, K.-K. R. Choo, and L. T. Yang, “Forensic investigation of P2P cloud storage services and backbone for IoT networks: BitTorrent Sync as a case study,” Comput. Electr. Eng., vol. 58, pp. 350–363, Feb. 2017.
12.
H. HaddadPajouh, A. Dehghantanha, R. Khayami, and K.-K. R. Choo, “A deep Recurrent Neural Network based approach for Internet of Things malware threat hunting,” Futur. Gener. Comput. Syst., 2018.
13.
M. Conti, A. Dehghantanha, K. Franke, and S. Watson, “Internet of Things security and forensics: Challenges and opportunities,” Futur. Gener. Comput. Syst., vol. 78, pp. 544–546, Jan. 2018.
14.
G. Epiphaniou, P. Karadimas, D. K. Ben Ismail, H. Al-Khateeb, A. Dehghantanha, and K.-K. R. Choo, “Non-Reciprocity Compensation Combined with Turbo Codes for Secret Key Generation in Vehicular Ad Hoc Social IoT Networks,” IEEE Internet Things J., pp. 1–1, 2017.
15.
O. Osanaiye, H. Cai, K.-K. R. Choo, A. Dehghantanha, Z. Xu, and M. Dlodlo, “Ensemble-based multi-filter feature selection method for DDoS detection in cloud computing,” EURASIP J. Wirel. Commun. Netw., vol. 2016, no. 1, p. 130, May 2016.
16.
S. Homayoun, M. Ahmadzadeh, S. Hashemi, A. Dehghantanha, and R. Khayami, “BoTShark: A Deep Learning Approach for Botnet Traffic Detection,” 2018, pp. 137–153.
17.
S. Homayoun, A. Dehghantanha, M. Ahmadzadeh, S. Hashemi, and R. Khayami, “Know Abnormal, Find Evil: Frequent Pattern Mining for Ransomware Threat Hunting and Intelligence,” {IEEE} Trans. Emerg. Top. Comput., p. 1, 2017.
18.
A. Azmoodeh, A. Dehghantanha, and K.-K. R. Choo, “Robust Malware Detection for Internet Of (Battlefield) Things Devices Using Deep Eigenspace Learning,” IEEE Trans. Sustain. Comput., pp. 1–1, 2018.
19.
K. R. Choo, “Online child grooming: a literature review on the misuse of social networking sites for grooming children for sexual offences,” Aust. Inst. Criminol., p. 132, 2009.
20.
L.-K. Bernstein, “Investigating and Prosecuting Swatting Crimes,” United States Atty. Bull., vol. 64, no. 3, pp. 51–56, 2016.
21.
A. Carpinteri, B. Bang, K. Klimley, R. A. Black, and V. B. Van Hasselt, “Commercial Sexual Exploitation of Children: an Assessment of Offender Characteristics,” J. Police Crim. Psychol., Aug. 2017.
22.
H. Hillman, C. Hooper, and K.-K. R. Choo, “Online child exploitation: Challenges and future research directions,” Comput. Law Secur. Rev., vol. 30, no. 6, pp. 687–698, Dec. 2014.
23.
L. Achternbosch, C. Miller, C. Turville, and P. Vamplew, “Griefers versus the Griefed - what motivates them to play Massively Multiplayer Online Role-Playing Games ?,” Comput. Games J. Ltd, vol. 3, no. 1, 2014.
24.
E. M. Jaffe, “Article : Swatting : the New Cyberbullying Frontier After Elonis V. United States,” Drake Law Rev., pp. 455–483, 2016.
25.
A. Choo and A. May, “Maintaining Long Distance Togetherness Synchronous Communication with Minecraft and Skype,” in Games Innovation Conference (IGIC), 2013 IEEE International, 2013.
26.
A. Noroozian, M. Korczyński, C. H. Gañan, D. Makita, K. Yoshioka, and M. van Eeten, “Who Gets the Boot? Analyzing Victimization by DDoS-as-a-Service,” in Research in Attacks, Intrusions, and Defenses: 19th International Symposium, RAID 2016, Paris, France, September 19-21, 2016, Proceedings, F. Monrose, M. Dacier, G. Blanc, and J. Garcia-Alfaro, Eds. Cham: Springer International Publishing, 2016, pp. 368–389.
27.
J. Taylor, “Online investigations: protection for child victims by raising awareness,” ERA Forum, vol. 16, no. 3, pp. 349–358, 2015.
28.
S. Khanji, R. Jabir, F. Iqbal, and A. Marrington, “Forensic analysis of xbox one and playstation 4 gaming consoles,” 8th IEEE Int. Work. Inf. Forensics Secur. WIFS 2016, 2017.
29.
M. Cheah, L. Wyndham-Birch, and B. Bird, “What artifacts of evidentiary value can be found when investigating multi-user virtual environments.” 2015.
30.
“What OS for server? - Server Administration - Server Support - Support - Minecraft Forum - Minecraft Forum.” .
31.
D. Quick and K.-K. R. Choo, “Google Drive: Forensic analysis of data remnants,” J. Netw. Comput. Appl., vol. 40, pp. 179–193, Apr. 2014.
32.
D. Quick and K.-K. R. Choo, “Dropbox analysis: Data remnants on user machines,” Digit. Investig., vol. 10, no. 1, pp. 3–18, Jun. 2013.
33.
L. C. for D. Investigation, “1/21/2016 175,” Leahy Center for Digital Investigation, no. 802. 2016.
34.
A. Rutkin, “Your place or Minecraft?,” New Sci., vol. 230, no. 3071, pp. 22–23, 2016.
35.
“Mojang - Minecon 2015 - Day Two - Twitch.” .
36.
Z. Zhang, H. Anada, J. Kawamoto, and K. Sakurai, “Detection of illegal players in massively multiplayer online role playing game by classification algorithms,” Proc. - Int. Conf. Adv. Inf. Netw. Appl. AINA, vol. 2015–April, pp. 406–413, 2015.
37.
Y. Ki, J. Woo, and H. K. Kim, “Identifying Spreaders of Malicious Behaviors in Online Games,” in Proceedings of the 23rd International Conference on World Wide Web, 2014, pp. 315–316.
38.
J. Oh, Z. H. Borbora, and J. Srivastava, “Automatic Detection of Compromised Accounts in MMORPGs,” in 2012 International Conference on Social Informatics, 2012, pp. 222–227.
39.
A. S. V Nair and B. A. S. Ajeena, “A Log Based Strategy for Fingerprinting and Forensic Investigation of Online Cyber Crimes,” in Proceedings of the 2014 International Conference on Interdisciplinary Advances in Applied Computing, 2014, p. 7:1--7:5.
40.
M. Barni and B. Tondi, “Threat Models and Games for Adversarial Multimedia Forensics,” in Proceedings of the 2nd International Workshop on Multimedia Forensics and Security, 2017, pp. 11–15.
41.
S. Rajendran and N. P. Gopalan, “Mobile Forensic Investigation (MFI) Life Cycle Process for Digital Data Discovery (DDD),” in Proceedings of the International Conference on Soft Computing Systems: ICSCS 2015, Volume 2, L. P. Suresh and B. K. Panigrahi, Eds. New Delhi: Springer India, 2016, pp. 393–403.
42.
T. Dargahi, A. Dehghantanha, and M. Conti, “Chapter 2 - Forensics Analysis of Android Mobile VoIP Apps,” in Contemporary Digital Forensic Investigations of Cloud and Mobile Applications, K.-K. R. Choo and A. Dehghantanha, Eds. Syngress, 2017, pp. 7–20.
43.
K. K. R. Choo and A. Dehghantanha, Contemporary Forensic Investigation of Cloud and Mobile Applications. 2017.
44.
ACPO, “ACPO Good Practice Guide for Digital Evidence,” Association of Chief Police Officers, 2012.
45.
N. C. J. U.S. Department of Justice, “Electronic Crime Scene Investigation: A Guide for First Responders,” NIJ Res. Rep., no. NCJ 187736, p. 96, 2001.
46.
F. S. Regulator, “Codes of Practice and Conduct Issue 4,” 2017.
47.
K. Kent, S. Chevalier, T. Grance, and H. Dang, “Guide to Integrating Forensic Techniques into Incident Response,” The National Institute of Standards and Technology, 2006.
48.
A. Antwi-Boasiako and H. Venter, “A Model for Digital Evidence Admissibility Assessment,” in Advances in Digital Forensics XIII: 13th IFIP WG 11.9 International Conference, Orlando, FL, USA, January 30 - February 1, 2017, Revised Selected Papers, G. Peterson and S. Shenoi, Eds. Cham: Springer International Publishing, 2017, pp. 23–38.
49.
B. Martini and K.-K. R. Choo, “An integrated conceptual digital forensic framework for cloud computing,” Digit. Investig., vol. 9, no. 2, pp. 71–80, Nov. 2012.
50.
Y.-Y. Teing, D. Ali, K.-K. R. Choo, M. Conti, and T. Dargahi, “Forensic Investigation of Cooperative Storage Cloud Service: Symform as a Case Study,” J. Forensics Sci., vol. [In Press], 2016.
51.
T. Alstad et al., “Minecraft computer game performance analysis and network traffic emulation by a custom bot,” Proc. 2015 Sci. Inf. Conf. SAI 2015, pp. 227–236, 2015.
Metadata
Title
Forensic Investigation of Cross Platform Massively Multiplayer Online Games: Minecraft as a Case Study
Authors
Paul J. Taylor
Henry Mwiki
Ali Dehghantanha
Alex Akinbi
Kim-Kwang Raymond Choo
Mohammad Hammoudeh
Reza M. Parizi
Copyright Year
2019
Book
Handbook of Big Data and IoT Security

Print ISBN: 978-3-030-10542-6

Electronic ISBN: 978-3-030-10543-3

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-10543-3_7

Premium Partner

    Image Credits