AI-based Static Application Security Testing Guide

Name: AI-based Static Application Security Testing Guide
Brand: LAP LAMBERT Academic Publishing
SKU: 9786207997046
Price: 20886 HUF
Availability: InStock

Szerző: Malik Shah Jahan

Nyelv:

Kötés: Puha kötésű

Kiadó: LAP LAMBERT Academic Publishing

Elérhetőség: Beszállítói készleten

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

Információk a könyvről

Szerző

Malik Shah Jahan

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2024

oldal

100

EAN

9786207997046

ISBN

6207997042

Enbook ID

46567258

Kiadó

LAP LAMBERT Academic Publishing

Súly

167

Méretek

150 x 220 x 6

Teljes leírás

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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