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Artificial Intelligence Tools for Cyber Attribution

Part of the SpringerBriefs in Computer Science Book Series

DOI: 10.1007/978-3-319-73788-1

ISBN: 978-3-319-73787-4

Publisher: Springer International Publishing - Springer Journals

Feb 17, 2018

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Introduction

Nunes, Eric; Shakarian, Paulo; Simari, Gerardo I.; Ruef, Andrew

Pages: 1 –3

[Cyber attribution is the process by which the identity of an actor or aggressor in a cyberactivity is determined. Conducting this process presents several unique problems; chief among them are that the technical artifacts produced by cyberattacks are difficult to understand, and it is easy (and...
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Baseline Cyber Attribution Models

Nunes, Eric; Shakarian, Paulo; Simari, Gerardo I.; Ruef, Andrew

Pages: 5 –16

[Attributing the culprit of a cyberattack is widely considered one of the major technical and policy challenges of cybersecurity. While the lack of ground truth for an individual responsible for a given attack has limited previous studies, here we overcome this limitation by leveraging DEFCON...
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Argumentation-Based Cyber Attribution: The DeLP3E Model

Nunes, Eric; Shakarian, Paulo; Simari, Gerardo I.; Ruef, Andrew

Pages: 17 –45

[In cyber attribution, knowledge bases consisting of all the available information for a specific domain, along with the current state of affairs, will typically contain contradictory data coming from different sources, as well as data with varying degrees of uncertainty attached. In this...
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Belief Revision in DeLP3E

Nunes, Eric; Shakarian, Paulo; Simari, Gerardo I.; Ruef, Andrew

Pages: 47 –74

[Any artificial intelligence tool designed for cyber-attribution must deal with information coming from different sources that invariably leads to incompleteness, overspecification, or inherently uncertain content. The presence of these varying levels of uncertainty doesn’t mean that the...
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Applying Argumentation Models for Cyber Attribution

Nunes, Eric; Shakarian, Paulo; Simari, Gerardo I.; Ruef, Andrew

Pages: 75 –84

[A major challenge in cyberthreat analysis is combining information from different sources to find the person or the group responsible for the cyber-attack. In this chapter, we leverage the dataset from the capture-the-flag event held at DEFCON discussed in Chap. 2, and propose DeLP3E model...
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Enhanced Data Collection for Cyber Attribution

Nunes, Eric; Shakarian, Paulo; Simari, Gerardo I.; Ruef, Andrew

Pages: 85 –90

[Cyber attribution is a difficult problem, and conducting attribution research is made even more difficult by a lack of data with ground truth. In this chapter, we describe a game-based framework (Capture-the-Flag) to produce cyber attribution data with deception. We discuss the motivation and...
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Conclusion

Nunes, Eric; Shakarian, Paulo; Simari, Gerardo I.; Ruef, Andrew

Pages: 91 –91

[There are many challenges in the area of cyber attribution. It is easy and useful for an actor to perform deception, hindering the decision making ability of standard machine learning models to identify the actor as demonstrated in Chap. 2. Structured argumentation-based frameworks like DeLP can...

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