Vishwashree Karhadkar

St Francis Xavier University (Nova Scotia, Canada), Masters in Computer Science, Graduate Student

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I am currently enhancing my academic and practical knowledge by pursuing a Master's in Applied Computer Science at StFX University. My role as a student allows me to actively engage with emerging technologies, complementing my coursework. This balance of practical and theoretical learning has been beneficial, as evidenced by my current GPA of 3.0. I am dedicated to continually expanding my skills and staying up-to-date with the latest developments in the field.My professional experience is further enriched by my knowledge of Full-stack web development including nodejs, MongoDB, PHP, and SQL with DevOps and AWS deployment practices. I have a solid foundation in software testing, including API testing.I have also been assigned a role as a project manager for deciding timelines, planning and executions single-handedly within teams in the organizations I have employed with. This has involved direct interaction with clients and stakeholders, ensuring that their needs are met while adhering to high standards of quality and efficiency. My ability to work effectively in collaborative, cross-functional teams, employing agile methodologies, has been crucial in delivering high-quality solutions.In 2017, I participated in the national-level "Smart India Hackathon" organized by the Government of India and led my team in the Eureka Hackathon 3.0 at G.H Raisoni. These experiences sharpened my problem-solving and leadership skills, particularly in high-pressure environments.Outside of work, I am passionate about photography, videography, and photo/video editing. Exploring new places inspires me to bring creative solutions to my professional endeavours.

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Report 1: Preliminary Analysis and Visualization Vulnerability Management

This study explores vulnerability management and risk assessment through data analysis and machin... more This study explores vulnerability management and risk assessment through data analysis and machine learning techniques. In the first phase, a preliminary analysis was conducted to understand the distribution of vulnerabilities based on key metrics such as Attack Vector, Impact Score, Base Score, and Exploitability Score. Statistical methods, correlation analysis, and clustering techniques were applied to uncover relationships among these attributes. Results indicated strong positive correlations between Impact Score and Base Score, as well as among the sub-metrics of Impact Score (Confidentiality, Integrity, and Availability).

In the second phase, supervised machine learning models were employed to enhance risk assessment and vulnerability classification. A Decision Tree model and Multinomial Logistic Regression were implemented to classify vulnerabilities based on attributes such as Attack Vector, Attack Complexity, and Base Severity. The Decision Tree model demonstrated superior performance in predicting vulnerability prioritization, with high precision and recall scores. Findings suggest that combining correlation analysis with supervised machine learning can significantly improve the vulnerability prioritization process, aiding cybersecurity analysts' inefficient decision-making.

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Social Engineering: Bridging the Gap Between Psychology and Cybersecurity

International Research Journal of Engineering and Technology (IRJET), 2025

Social engineering is a type of deceptive human behaviour technique used in computer and network ... more Social engineering is a type of deceptive human behaviour technique used in computer and network security which modifies user mindsets intending to cause harm to users or organizational assets. It consists of various phases applied in this type of attack explaining various types of active and passive attacks which come under social engineering like Phishing, Smishing, and Whaling etc. This type of attack can only be mitigated through proper training and awareness of the users. The following paper discusses from the basics of what is Social Engineering its type and ways of attacks, with that it also give us an idea about the defence mechanism, prevention methods and challenges available which can be implemented to prevent attacks happening under social engineering. This paper also explains the approaches that the corporate world can implement for the employees to have an idea of what and how social engineering attacks look like so they can be prevented.

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