It takes the average reader 1 hour and 31 minutes to read Artificial Intelligence Tools for Cyber Attribution by Eric Nunes
Assuming a reading speed of 250 words per minute. Learn more
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.
Artificial Intelligence Tools for Cyber Attribution by Eric Nunes is 91 pages long, and a total of 22,841 words.
This makes it 31% the length of the average book. It also has 28% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 2 hours and 4 minutes to read Artificial Intelligence Tools for Cyber Attribution aloud.
Artificial Intelligence Tools for Cyber Attribution is suitable for students ages 10 and up.
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