AI Techniques for Software Vulnerability Detection and Mitigation-Reference-Cited by-同舟云学术

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AI Techniques for Software Vulnerability Detection and Mitigation

Published:2023-11-07 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Conference on Dependable and Secure Computing (DSC)
language:
Short-container-title:

Author:

Khater Heba M.¹,Khayat Mohamad¹,Alrabaee Saed²,Serhani Mohamed Adel³,Barka Ezedin²,Sallabi Farag⁴

Affiliation:

1. UAE University,Information Technology, College of IT,Al Ain,UAE

2. UAE University,Information Systems and Security College of IT,Al Ain,UAE

3. University of Sharjah,College of Computing and Informatics,Sharjah,UAE

4. UAE University,Computer and Network Engineering College of IT,Al Ain,UAE

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10353927/10354085/10354233.pdf?arnumber=10354233

Reference25 articles.

1. State of IoT 2023: Number of connected IoT devices growing 18 to 14.4 billion globally;Sinha;IoT Analytics

2. CVSS severity distribution over time

3. HP study reveals 70 percent of Internet of Things devices vulnerable to attack;Rawlinson;HP Advisory,2014

4. Predicting SQL injection and cross site scripting vulnerabilities through mining input sanitization patterns

5. Using complexity, coupling, and cohesion metrics as early indicators of vulnerabilities

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