Abstract
Computer security would arguably benefit from more information on the characteristics of the particular human attacker behind a security incident. Nevertheless, technical security mechanisms have always focused on the at-tack's characteristics rather than the attacker's. The latter is a challenging prob-lem, as relevant data cannot easily be found. We argue that the cyber traces left by a human attacker during an intrusion attempt can help towards building a profile of the particular person. To illustrate this concept, we have developed an approach using case-based reasoning that indirectly measures an attacker’s characteristics for given attack scenarios. Our results reveal that case-based rea-soning has the potential of being used to assist security and forensic investiga-tors in profiling human attackers.
| Original language | English |
|---|---|
| Title of host publication | 19th UK Workshop on Case-Based Reasoning |
| Place of Publication | Cambridge |
| Pages | 39-48 |
| Number of pages | 10 |
| Publication status | Published - 1 Jan 2014 |
| Event | 19th UK Workshop on Case-Based Reasoning - Cambridge, UK, 9 Dec 2014 Duration: 1 Jan 2014 → … |
Workshop
| Workshop | 19th UK Workshop on Case-Based Reasoning |
|---|---|
| Period | 1/01/14 → … |
Keywords
- Case-based reasoning
- Cyber Security
- Intrusion Detection
- Artificial Intelligence