An Overview of Artificial Intelligence Based Pattern Matching in a Security and Digital Forensic Context

Mitchell, Faye

doi:10.1007/978-3-319-04447-7_17

Cited by 6 publications

(2 citation statements)

References 3 publications

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“…. we highlighted some of the main themes in AI and their appropriateness for use in a security and digital forensics context" [17].…”

Section: Introduction "Today Machine Learning Programs Do a Pretty Go...mentioning

confidence: 99%

Digital Forensics and the Big Data Deluge — Some Concerns Based on Ramsey Theory

Olivier¹

2020

Advances in Digital Forensics XVI

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Constructions of science that slowly change over time are deemed to be the basis of the reliability with which scientific knowledge is regarded. A potential paradigm shift based on big data is looming -many researchers believe that massive volumes of data have enough substance to capture knowledge without the theories needed in earlier epochs. Patterns in big data are deemed to be sufficient to make predictions about the future, as well as about the past as a form of understanding. This chapter uses an argument developed by Calude and Longo [6] to critically examine the belief system of the proponents of data-driven knowledge, especially as it applies to digital forensic science.From Ramsey theory it follows that, if data is large enough, knowledge is imbued in the domain represented by the data purely based on the size of the data. The chapter concludes that it is generally impossible to distinguish between true domain knowledge and knowledge inferred from spurious patterns that must exist purely as a function of data size. In addition, what is deemed a significant pattern may be refuted by a pattern that has yet to be found. Hence, evidence based on patterns found in big data is tenuous at best. Digital forensics should therefore proceed with caution if it wants to embrace big data and the paradigms that evolve from and around big data.

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“…. we highlighted some of the main themes in AI and their appropriateness for use in a security and digital forensics context" [17].…”

Section: Introduction "Today Machine Learning Programs Do a Pretty Go...mentioning

confidence: 99%

Digital Forensics and the Big Data Deluge — Some Concerns Based on Ramsey Theory

Olivier¹

2020

Advances in Digital Forensics XVI

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“…AI can expedite the investigative process and ultimately reduce case backlog while avoiding bias and prejudice (James and Gladyshev, 2013). Overviews of the applications of AI to security and digital forensics are provided in (Franke and Srihari, 2008) and (Mitchell, 2014). A number of approaches have been implemented to aid digital forensic investigation through AI techniques (Mohammed et al, 2016;Rughani and Bhatt, 2017), automation (In de Braekt et al, 2016), and big data processing (Guarino, 2013).…”

Section: Introductionmentioning

confidence: 99%

Deep learning at the shallow end: Malware classification for non-domain experts

Boydell

Namee

et al. 2018

Digital Investigation

156

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a b s t r a c tCurrent malware detection and classification approaches generally rely on time consuming and knowledge intensive processes to extract patterns (signatures) and behaviors from malware, which are then used for identification. Moreover, these signatures are often limited to local, contiguous sequences within the data whilst ignoring their context in relation to each other and throughout the malware file as a whole. We present a Deep Learning based malware classification approach that requires no expert domain knowledge and is based on a purely data driven approach for complex pattern and feature identification.

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New Approach of Artificial Intelligence in Digital Forensic Investigation: A Literature Review

Verma,

Garg,

Kumar

et al. 2023

Lecture Notes in Networks and Systems

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An Overview of Artificial Intelligence Based Pattern Matching in a Security and Digital Forensic Context

Cited by 6 publications

References 3 publications

Digital Forensics and the Big Data Deluge — Some Concerns Based on Ramsey Theory

Digital Forensics and the Big Data Deluge — Some Concerns Based on Ramsey Theory

Deep learning at the shallow end: Malware classification for non-domain experts

New Approach of Artificial Intelligence in Digital Forensic Investigation: A Literature Review

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