collaborators

6 papers

cs.CR2025

ODoQ: Oblivious DNS-over-QUIC

Aditya Kulkarni, Tamal Das, Vivek Balachandran

The Domain Name System (DNS), which converts domain names to their respective IP addresses, has advanced enhancements aimed at safeguarding DNS data and users' identity from attack…

cs.CR2025

Overcoming DNSSEC Islands of Security: A TLS and IP-Based Certificate Solution

Aduma Rishith, Aditya Kulkarni, Tamal Das +1

The Domain Name System (DNS) serves as the backbone of the Internet, primarily translating domain names to IP addresses. Over time, various enhancements have been introduced to str…

cs.CR2025

Bridging the Gap in Phishing Detection: A Comprehensive Phishing Dataset Collector

Aditya Kulkarni, Shahil Manishbhai Patel, Shivam Pradip Tirmare +2

To combat phishing attacks -- aimed at luring web users to divulge their sensitive information -- various phishing detection approaches have been proposed. As attackers focus on de…

cs.CR2025

Phishing Webpage Detection: Unveiling the Threat Landscape and Investigating Detection Techniques

Aditya Kulkarni, Vivek Balachandran, Tamal Das

In the realm of cybersecurity, phishing stands as a prevalent cyber attack, where attackers employ various tactics to deceive users into gathering their sensitive information, pote…

cs.CR2025

Phish-Blitz: Advancing Phishing Detection with Comprehensive Webpage Resource Collection and Visual Integrity Preservation

Duddu Hriday, Aditya Kulkarni, Vivek Balachandran +1

Phishing attacks are increasingly prevalent, with adversaries creating deceptive webpages to steal sensitive information. Despite advancements in machine learning and deep learning…

cs.CR2025

From ML to LLM: Evaluating the Robustness of Phishing Webpage Detection Models against Adversarial Attacks

Aditya Kulkarni, Vivek Balachandran, Dinil Mon Divakaran +1

Phishing attacks attempt to deceive users into stealing sensitive information, posing a significant cybersecurity threat. Advances in machine learning (ML) and deep learning (DL) h…