A survey on machine learning techniques for source code analysis
The advancements in machine learning techniques have encouraged researchers to apply
these techniques to a myriad of software engineering tasks that use source code analysis …
these techniques to a myriad of software engineering tasks that use source code analysis …
[HTML][HTML] Cross-site scripting attacks and defensive techniques: A comprehensive survey
SJY Weamie - International Journal of Communications, Network and …, 2022 - scirp.org
The advancement of technology and the digitization of organizational functions and services
have propelled the world into a new era of computing capability and sophistication. The …
have propelled the world into a new era of computing capability and sophistication. The …
Machine Learning for Computer and Cyber Security
BB Gupta, M Sheng - ed: CRC Press. Preface, 2019 - api.taylorfrancis.com
Names: Gupta, Brij, 1982-editor.| Sheng, Quan Z. editor. Title: Machine learning for computer
and cyber security: principles, algorithms, and practices/editors Brij B. Gupta, National …
and cyber security: principles, algorithms, and practices/editors Brij B. Gupta, National …
GraphXSS: an efficient XSS payload detection approach based on graph convolutional network
With the rapid development of the Internet age today, Web applications have become very
common in modern society. Web applications are often applied to a social network, media …
common in modern society. Web applications are often applied to a social network, media …
DeepXSS: Cross site scripting detection based on deep learning
Nowadays, Cross Site Scripting (XSS) is one of the major threats to Web applications. Since
it's known to the public, XSS vulnerability has been in the TOP 10 Web application …
it's known to the public, XSS vulnerability has been in the TOP 10 Web application …
[HTML][HTML] A survey on machine learning techniques applied to source code
The advancements in machine learning techniques have encouraged researchers to apply
these techniques to a myriad of software engineering tasks that use source code analysis …
these techniques to a myriad of software engineering tasks that use source code analysis …
Plague of cross-site scripting on web applications: a review, taxonomy and challenges
P Chaudhary, BB Gupta - International Journal of Web …, 2018 - inderscienceonline.com
Now a day, web applications are developed by incorporating the advanced latest
technologies on the client-side (eg AJAX, JavaScript, JFlash, etc.) and as well as server side …
technologies on the client-side (eg AJAX, JavaScript, JFlash, etc.) and as well as server side …
RLXSS: Optimizing XSS detection model to defend against adversarial attacks based on reinforcement learning
With the development of artificial intelligence, machine learning algorithms and deep
learning algorithms are widely applied to attack detection models. Adversarial attacks …
learning algorithms are widely applied to attack detection models. Adversarial attacks …
Detection of cyber attacks: XSS, sqli, phishing attacks and detecting intrusion using machine learning algorithms
A Bhardwaj, SS Chandok, A Bagnawar… - 2022 IEEE Global …, 2022 - ieeexplore.ieee.org
Cyber-crime is spreading throughout the world, exploiting any type of vulnerability in the
cloud computing platform. Ethical hackers are primarily concerned in identifying flaws and …
cloud computing platform. Ethical hackers are primarily concerned in identifying flaws and …
GeneMiner: a classification approach for detection of XSS attacks on web services
According to OWASP 2021, cross‐site scripting (XSS) attacks are increasing through
specially crafted XML documents. The attacker injects a malicious payload with a new …
specially crafted XML documents. The attacker injects a malicious payload with a new …