Modern distributed systems are characterized by complex deployment designed to ensure high availability through replication and diversity, to tolerate the presence of failures and to limit the possibility of successful compromising. However, software is not free from bugs that generate vulnerabilities that could be exploited by an attacker through multiple steps. This paper presents an attack-graph based multi-step attack detector aiming at detecting a possible on-going attack early enough to take proper countermeasures through; a Visualization interfaced with the described attack detector presents the security operator with the relevant pieces of information, allowing a better comprehension of the network status and providing assistance in managing attack situations (i.e., reactive analysis mode). We first propose an architecture and then we present the implementation of each building block. Finally, we provide an evaluation of the proposed approach aimed at highlighting the existing trade-off between accuracy of the detection and detection time.

An attack graph-based on-line multi-step attack detector / Angelini, Marco; Bonomi, Silvia; Borzi, Emanuele; Del Pozzo, Antonella; Lenti, Simone; Santucci, Giuseppe. - ELETTRONICO. - (2018). (Intervento presentato al convegno 19th International Conference on Distributed Computing and Networking, ICDCN 2018 tenutosi a Varanasi; India nel 2018) [10.1145/3154273.3154311].

An attack graph-based on-line multi-step attack detector

Angelini, Marco;Bonomi, Silvia
;
Borzi, Emanuele;Del Pozzo, Antonella;Lenti, Simone;Santucci, Giuseppe
2018

Abstract

Modern distributed systems are characterized by complex deployment designed to ensure high availability through replication and diversity, to tolerate the presence of failures and to limit the possibility of successful compromising. However, software is not free from bugs that generate vulnerabilities that could be exploited by an attacker through multiple steps. This paper presents an attack-graph based multi-step attack detector aiming at detecting a possible on-going attack early enough to take proper countermeasures through; a Visualization interfaced with the described attack detector presents the security operator with the relevant pieces of information, allowing a better comprehension of the network status and providing assistance in managing attack situations (i.e., reactive analysis mode). We first propose an architecture and then we present the implementation of each building block. Finally, we provide an evaluation of the proposed approach aimed at highlighting the existing trade-off between accuracy of the detection and detection time.
2018
19th International Conference on Distributed Computing and Networking, ICDCN 2018
Alert correlation; Attack Detection; Attack Visualization; Multi-step Attacks; Human-Computer Interaction; Computer Networks and Communications; 1707; Software
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
An attack graph-based on-line multi-step attack detector / Angelini, Marco; Bonomi, Silvia; Borzi, Emanuele; Del Pozzo, Antonella; Lenti, Simone; Santucci, Giuseppe. - ELETTRONICO. - (2018). (Intervento presentato al convegno 19th International Conference on Distributed Computing and Networking, ICDCN 2018 tenutosi a Varanasi; India nel 2018) [10.1145/3154273.3154311].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1073997
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