Name: Artificial Intelligence Tools for Cyber Attribution (Springerbriefs in Computer Science) (en Inglés)
SKU: 50875222
Price: 58.92 USD
Availability: InStock
Author: Eric Nunes; Paulo Shakarian; Gerardo I. Simari
ISBN: 9783319737874

portada Artificial Intelligence Tools for Cyber Attribution (Springerbriefs in Computer Science) (en Inglés)

Artificial Intelligence Tools for Cyber Attribution (Springerbriefs in Computer Science) (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Eric Nunes; Paulo Shakarian; Gerardo I. Simari

Año

2018

Idioma

Inglés

N° páginas

100

Encuadernación

Tapa Blanda

ISBN13

9783319737874

N° edición

Categorías

Inteligencia artificial

Artificial Intelligence Tools for Cyber Attribution (Springerbriefs in Computer Science) (en Inglés)

Eric Nunes; Paulo Shakarian; Gerardo I. Simari (Autor) · Springer · Tapa Blanda

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Reseña del libro "Artificial Intelligence Tools for Cyber Attribution (Springerbriefs in Computer Science) (en Inglés)"

This SpringerBrief discusses how to develop intelligent systems for cyber attribution regarding cyber-attacks. Specifically, the authors review the multiple facets of the cyber attribution problem that make it difficult for “out-of-the-box” artificial intelligence and machine learning techniques to handle. Attributing a cyber-operation through the use of multiple pieces of technical evidence (i.e., malware reverse-engineering and source tracking) and conventional intelligence sources (i.e., human or signals intelligence) is a difficult problem not only due to the effort required to obtain evidence, but the ease with which an adversary can plant false evidence. This SpringerBrief not only lays out the theoretical foundations for how to handle the unique aspects of cyber attribution – and how to update models used for this purpose – but it also describes a series of empirical results, as well as compares results of specially-designed frameworks for cyber attribution to standard machine learning approaches. Cyber attribution is not only a challenging problem, but there are also problems in performing such research, particularly in obtaining relevant data. This SpringerBrief describes how to use capture-the-flag for such research, and describes issues from organizing such data to running your own capture-the-flag specifically designed for cyber attribution. Datasets and software are also available on the companion website.