Abstract
Botnets form a special type of malware that nowadays constitute one of the biggest threats in cyber-security. Ordinarily, the hacker exploits existing vulnerabilities to infiltrate the system and install a command-and-control (C&C) infrastructure. Thereupon, the system is “botnized” and performs the bot-master’s commands. In most cases, the attacker does not intend to destroy the compromised assets but to utilize them in order to perform other type of attacks, such as crypto-mining or Denial of Service (DoS) campaigns to targeted websites. Nevertheless, ransomware or other disruptive attacks can also be launched at some point and harm the owner of the infected equipment. This paper starts with an overview of botnet cases, attacker’s tactics, and relevant defense mechanisms. Then, we present a real step-by-step digital forensics investigation on a customer’s bare-metal server in the cloud. The attack was performed in 2020. We describe the storyline from the server’s installation, the infection, the investigation, the proper mitigation actions, as well as, the economic implication. Finally, we sum-up which were the main mistakes that enable the attack and propose a silver bulletin for server setup in the cloud.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Microsoft: Microsoft security intelligence report, Microsoft, vols. 9–17 (2010–2014)
Zargar, S.T., Joshi, J., Tipper, D.: A survey of defense mechanisms against Distributed Denial of Service (DDoS) flooding attacks. IEEE Commun. Surv. Tutor. 15(4), 2046–2069 (2013)
Liu, S.: Surviving distributed Denial-of-Service attacks. IT Prof. 11(5), 51–53 (2009)
Specht, S.M., Lee, R.B.: Distributed Denial of Service: taxonomies of attacks, tools and countermeasures. In: 17th International Conference on Parallel and Distributed Computing Systems (ICPADS), San Francisco, CA, USA, 15–17 September 2004, pp. 543–550 (2004)
Asghari, H., van Eeten, M.J.G., Bauer, J.M.: Economics of fighting botnets: lessons from a decade of mitigation. IEEE Secur. Priv. 13(5), 16–23 (2015)
Sood, A.K., Zeadally, S., Enbody, R.J.: An empirical study of HTTP-based financial botnets. IEEE Trans. Dependable Secure Comput. 13(2), 236–251 (2016)
Moore, T., Clayton, R., Anderson, R.: The economics of online crime. J. Econ. Perspect. 23(3), 3–20 (2009)
de Santanna, J.J.C., et al.: Booters – an analysis of DDoS-as-a-Service attacks. In: IFIP/IEEE International Symposium on Integrated Network Management (IM). IFIP/IEEE, Ottawa, Canada, 11–15 May 2015, pp. 243–251 (2015)
Khattak, S., Ramay, N.R., Khan, K.R., Syed, A.A., Khayam, S.A.: A taxonomy of botnet behavior, detection, and defense. IEEE Commun. Surv. Tutor. 16(2), 898–924 (2014)
Brown, I., Marsden, C.: Co-regulating Internet security: the London action plan. In: Academic Symposium on Global Internet Governance Academic Network (GigaNet), SSRN, Rio de Janeiro, Brazil, 11 November 2007, pp. 1–18 (2007)
Garcia, A., Horowitz, B.: The potential for underinvestment in Internet security: implications for regulatory policy. J. Regul. Econ. 31(1), 37–55 (2007). https://doi.org/10.1007/s11149-006-9011-y
Hatzivasilis, G., et al.: WARDOG: awareness detection watchdog for Botnet infection on the host device. IEEE Trans. Sustain. Comput. Spec. Issue Sustain. Inf. Forensic Comput. 4, 1–15 (2019)
Habibi, J., Midi, D., Mudgerikar, A., Bertino, E.: Heimdall: mitigating the Internet of Insecure Things. IEEE Internet Things J. 4(4), 968–978 (2017)
Lu, Z., Wang, W., Wang, C.: On the evolution and impact of mobile botnets in wireless networks. IEEE Trans. Mob. Comput. 15(9), 2304–2316 (2016)
Karim, A., Shah, S.A.A., Salleh, R.B., Arif, M., Noor, R.M., Shamshirband, S.: Mobile botnet attacks – an emerging threat: classification, review and open issues. KSII Trans. Internet Inf. Syst. TIIS 9(4), 1471–1492 (2015)
Traynor, P., et al.: On cellular botnets: measuring the impact of malicious devices on a cellular network core. In: 16th ACM Conference on Computer and Communications Security (CSS), 9–13 November 2009, pp. 223–234. ACM, Chicago (2009)
Antonakakis, M., et al.: Understanding the Mirai botnet. In: 26th Usenix Security Symposium (SS), Vancouver, BC, Canada, 16–18 August 2017, pp. 1093–1110 (2017)
Fruhlinger, J.: The Mirai botnet explained: how teen scammers and CCTV cameras almost brought down the Internet. CSO Online, article 3258748. https://www.csoonline.com/article/3258748/security/the-mirai-botnet-explained-how-teen-scammers-and-cctv-cameras-almost-brought-down-the-internet.html. Accessed 9 March 2018
Pritchett, W.: Insurtech 10: Trends for 2019. The Digital Insurer, KPMG, pp. 1–36, March 2019
Hatzivasilis, G., et al.: Cyber insurance of information systems. In: 24th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD 2019), 11–13 September 2019, pp. 1–7. IEEE, Limassol (2019)
Hatzivasilis, G., et al.: Towards the insurance of healthcare systems. In: Fournaris, A.P., et al. (eds.) IOSEC/MSTEC/FINSEC -2019. LNCS, vol. 11981, pp. 185–198. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-42051-2_13
Stone-Gross, B., Cova, M., Gilbert, B., Kemmerer, R., Kruegel, C., Vigna, G.: Analysis of a botnet takeover. IEEE Secur. Priv. 9(1), 64–72 (2010)
Shin, S., Gu, G., Reddy, N., Lee, C.P.: A large-scale empirical study of Conflicker. IEEE Trans. Inf. Forensics Secur. 7(2), 676–690 (2012)
Konovalov, A.M., Kotenko, I.V., Shorov, A.V.: Simulation-based study of botnets and defense mechanisms against them. J. Comput. Syst. Sci. Int. 52(1), 43–65 (2013). https://doi.org/10.1134/S1064230712060044
Bekeneva, Y., Shipilov, N., Borisenko, K., Shorov, A.: Simulation of DDoS-attacks and protection mechanisms against them. In: IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference (ElConRusNW), 2–4 February 2015, pp. 49–55. IEEE, St. Petersburg (2015)
Dong, Y., Dai, J., Sun, X.: A mobile botnet that meets up at Twitter. In: Beyah, R., Chang, B., Li, Y., Zhu, S. (eds.) SecureComm 2018. LNICSSITE, vol. 255, pp. 3–21. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-01704-0_1
Ling, L., Gao, Z., Silas, M.A., Lee, I., le Doeuff, E.A.: An AI-based, multi-stage detection system of banking botnets. In: 32nd Conference on Neural Information Processing Systems (NIPS), Montréal, Canada, pp. 1–9 (2019)
Grant, G.: Botnet mitigation and international law. Columbia J. Transnatl. Law 58, 189–231 (2019)
Sfakianakis, A., Douligeris, C., Marinos, L., Lourenço, M., Raghimi, O.: ENISA Threat Landscape Report 2018, ENISA, pp. 1–139, January 2019
Hatzivasilis, G., Fysarakis, K., Askoxylakis, I., Bilanakos, A.: CloudNet anti-malware engine: GPU-accelerated network monitoring for cloud services. In: Fournaris, A.P., Lampropoulos, K., Marín Tordera, E. (eds.) IOSec 2018. LNCS, vol. 11398, pp. 122–133. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-12085-6_11
Papaefstathiou, I., Bilanakos, A., Fysarakis, K., Hatzivasilis, G., Manifavas, C.: An efficient anti-malware intrusion detection system implementation, exploiting GPUs. In: International Conference on Advanced Technology & Sciences (ICAT 2014), Antalya, Turkey, 12–15 August 2014, pp. 1–9 (2014)
Hatzivasilis, G., Papadakis, N., Hatzakis, I., Ioannidis, S., Vardakis, G.: AI-driven composition and security validation of an IoT ecosystem. Appl. Sci. 10(14), 1–31 (2020). Special Issue on Smart City and Multi-Agent Systems, MDPI Open Access Journal
Berger-Sabbatel, G., Duda, A.: Four years of botnet hunting: an assessment. In: Dziech, A., Czyżewski, A. (eds.) MCSS 2014. CCIS, vol. 429, pp. 29–42. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-07569-3_3
Cooke, E., Jahanian, F., Mc Pherson, D.: The zombie roundup: understanding, detecting, and disrupting botnets. In: Usenix Workshop on Steps to Reducing Unwanted Traffic on the Internet (SRUTI), Cambridge, MA, USA, 7 July 2005, pp. 1–6 (2005)
Acknowledgements
This work has received funding from the European Union Horizon’s 2020 research and innovation programme under the grant agreements No. 786890 (THREAT-ARREST) and No. 830927 (CONCORDIA).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Hatzivasilis, G., Kunc, M. (2020). Chasing Botnets: A Real Security Incident Investigation. In: Hatzivasilis, G., Ioannidis, S. (eds) Model-driven Simulation and Training Environments for Cybersecurity. MSTEC 2020. Lecture Notes in Computer Science(), vol 12512. Springer, Cham. https://doi.org/10.1007/978-3-030-62433-0_7
Download citation
DOI: https://doi.org/10.1007/978-3-030-62433-0_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-62432-3
Online ISBN: 978-3-030-62433-0
eBook Packages: Computer ScienceComputer Science (R0)