Analysis and Detection of Malware using Machine Learning

Currently technology has grown at an exponential rate and at the same time it has also introduced its own vulnerabilities. Cyber-attacks on huge IT companies creates a negative impact on a company's financial situation, its reputation and its users who use their applications daily and they them...

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Bibliographic Details
Published in2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) pp. 1329 - 1334
Main Authors Brintha, N. C., Abinivesh, S., Sivadasan, Adith, Balasurya, S., Babu, S S Harish
Format Conference Proceeding
LanguageEnglish
Published IEEE 23.03.2023
Subjects
Artificial Intelligence
Cyber-attack
Deep learning
Machine learning algorithms
Recurrent neural networks
Robust control
Support vector machines
System performance
Vulnerabilities
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Summary:Currently technology has grown at an exponential rate and at the same time it has also introduced its own vulnerabilities. Cyber-attacks on huge IT companies creates a negative impact on a company's financial situation, its reputation and its users who use their applications daily and they themselves become victims of cyberattacks. There is an increasing trend and attackers are finding various ways of intruding inside a system towards stealing the sensitive information from the users. This has created lot of challenges for the security expert to protect their system from these sorts of attacks. This study focuses on the idea of creating a website which proposes a solution that leverages the power of AI to detect vulnerabilities in web applications and computer systems. The proposed system utilizes machine learning algorithms to identify potential vulnerabilities in real-time and the system can be accessed through an user-friendly web interface, which provides reports and recommendations for remediation of any identified vulnerabilities.
DOI:10.1109/ICSCDS56580.2023.10105104