Tracking advanced persistent threats in critical infrastructures through opinion dynamics

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 11098 LNCS, Issue , 2018, Pages 555-574

  Rubio, Juan E ^a   Roman, Rodrigo ^a   Alcaraz, Cristina ^a   Zhang, Yan ^b  

^a UNIVERSITY OF MÁLAGA   (Spain)

^b UNIVERSITY OF OSLO   (Norway)

Author keywords

Advanced persistent threat; Detection; Opinion dynamics; Traceability

Indexed keywords

DYNAMICS; ERROR DETECTION; PUBLIC WORKS; SECURITY OF DATA; SECURITY SYSTEMS;

ACCURATE RESPONSE; ADVANCED PERSISTENT THREAT; INDUSTRIAL ENVIRONMENTS; IT TECHNOLOGIES; NOVEL TECHNIQUES; OPINION DYNAMICS; RESPONSE SYSTEMS; TRACEABILITY;

CRITICAL INFRASTRUCTURES;

EID: 85052214158     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-99073-6_27     Document Type: Conference Paper

References (19)

1. Cazorla, L., Alcaraz, C., Lopez, J.: Cyber stealth attacks in critical information infrastructures. IEEE Syst. J. 12(2), 1778–1792 (2018)
2. Singh, S., Sharma, P.K., Moon, S.Y., Moon, D., Park, J.H.: A comprehensive study on apt attacks countermeasures for future networks communications: challenges solutions. J. Supercomput. 1–32 (2016). https://doi.org/10.1007/s11227-016-1850-4
3. Rubio, J.E., Alcaraz, C., Lopez, J.: Preventing advanced persistent threats in complex control networks. In: Foley, S.N., Gollmann, D., Snekkenes, E. (eds.) ESORICS 2017. LNCS, vol. 10493, pp. 402–418. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-66399-9 22
4. Lin, C.-T.: Structural controllability. IEEE Trans. Autom. Control 19(3), 201–208 (1974)
5. Haynes, T.W., Hedetniemi, S.M., Hedetniemi, S.T., Henning, M.A.: Domination in graphs applied to electric power networks. SIAM J. Discret. Math. 15(4), 519–529 (2002)
6. Kneis, J., Mölle, D., Richter, S., Rossmanith, P.: Parameterized power domination complexity. Inf. Process. Lett. 98(4), 145–149 (2006)
7. Pagani, G.A., Aiello, M.: The power grid as a complex network: a survey. Phys. A: Stat. Mech. Appl. 392(11), 2688–2700 (2013)
8. Watts, D.J., Strogatz, S.H.: Collective dynamics of ‘small-world’ networks. Nature 393(6684), 440 (1998)
9. Hegselmann, R., Krause, U., et al.: Opinion dynamics and bounded confidence models, analysis, and simulation. J. Artif. Soc. Soc. Simul. 5(3), 1–33 (2002)
10. Lemay, A., Calvet, J., Menet, F., Fernandez, J.M.: Survey of publicly available reports on advanced persistent threat actors. Comput. Secur. 72, 26–59 (2018)
11. Falliere, N., Murchu, L.O., Chien, E.: W32.stuxnet dossier, version 1.4, February 2011. https://www.symantec.com. Accessed Apr 2018
12. Symantec Security Response Attack Investigation Team. Dragonfly: Western energy sector targeted by sophisticated attack group (2017). https://www. symantec.com. Accessed Apr 2018
13. SANS Industrial Control Systems. Analysis of the cyber attack on the Ukrainian power grid (2016). https://ics.sans.org. Accessed Apr 2018
14. Cherepanov, A.: Telebots are back-supply-chain attacks against Ukraine (2017). https://www.welivesecurity.com. Accessed Apr 2018
15. MITRE Corporation. MITRE ATT&CK (2018). https://attack.mitre.org. Accessed Apr 2018
16. Chen, P., Desmet, L., Huygens, C.: A study on advanced persistent threats. In: De Decker, B., Zúquete, A. (eds.) CMS 2014. LNCS, vol. 8735, pp. 63–72. Springer, Heidelberg (2014). https://doi.org/10.1007/978-3-662-44885-4_5
17. Hutchins, E.M., Cloppert, M.J., Amin, R.M.: Intelligence-driven computer network defense informed by analysis of adversary campaigns and intrusion kill chains. Lead. Issues Inf. Warf. Secur. Res. 1(1), 80 (2011)
18. Rubio, J.E., Alcaraz, C., Roman, R., Lopez, J.: Analysis of intrusion detection systems in industrial ecosystems. In: 14th International Conference on Security and Cryptography, pp. 116–128 (2017)
19. S2Grupo. Emas SOM-Monitoring System for Industrial Environments (2018). https://s2grupo.es/es/emas-ics/. Accessed Apr 2018