AI-based Static Application Security Testing Guide

Name: AI-based Static Application Security Testing Guide
Brand: LAP LAMBERT Academic Publishing
SKU: 9786207997046
Price: 293.34 RON
Availability: InStock

Autor: Malik Shah Jahan

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Legare: Carte broșată

Editura: LAP LAMBERT Academic Publishing

Disponibilitate: În depozitul extern

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293.34 lei

Code smells are usually ignored as they are neither a bug, nor a vulnerability. Quality engineers an...

Informații despre carte

Autor

Malik Shah Jahan

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2024

Pagini

100

EAN

9786207997046

ISBN

6207997042

Enbook ID

46567258

Editura

LAP LAMBERT Academic Publishing

Greutate

167

Dimensiuni

150 x 220 x 6

Descriere completă

Code smells are usually ignored as they are neither a bug, nor a vulnerability. Quality engineers and, specially, security architects ignore them. As some of the code smells may lead towards vulnerability which may further be exploited by the hackers, therefore, such vulnerable code smells must be considered and further mitigated by threat modelers. In order to provide a repository of such code smells to security designers, a process had been devised and experimented. During the execution, various web applications had been passed through SAST and resulting code smells had been extracted and then inserted into a new dataset via Python. Later on, the code smells deposited in the dataset had been classified into various categories. Finally, machine learning algorithms had been assessed through WEKA and the fastest as well the most accurate algorithm had been selected. Current security standards do not ensure mitigation of threats caused by leading-to-vulnerability code smells, till to date. Typically, threat modelers assess security of a system through modeling threats via CIA, STRIDE and LINDDUN standards on its DFD and various architectural / infrastructural diagrams.

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AI-based Static Application Security Testing Guide

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