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20212026
most citedAn Adaptable Deep Learning-Based Intrusion Detection System to Zero-Day Attacks

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2026

An Analysis of Architectural and Operational Dynamics of Phishkits in the Wild

Behzad Ousat, Mohammad Ali Tofighi, Estefan Schafir +1

Phishing attacks have always been a favored vector for adversaries to defraud users, bypass modern defense mechanisms, and penetrate critical systems. Among all the elements contri…

cs.CR2026

Broken Gates: Re-evaluating Web Bot Defenses in the Age of LLM Agents

Behzad Ousat, Nikita Turkmen, Lalchandra Rampersaud +2

LLM-based browser agents are rapidly changing the threat landscape for web security. Unlike traditional automation frameworks that execute predefined scripts, these agents can auto…

cs.CR2025

Open Source, Open Threats? Investigating Security Challenges in Open-Source Software

Seyed Ali Akhavani, Behzad Ousat, Amin Kharraz

Open-source software (OSS) has become increasingly more popular across different domains. However, this rapid development and widespread adoption come with a security cost. The gro…

cs.LG2024

In-Application Defense Against Evasive Web Scans through Behavioral Analysis

Behzad Ousat, Mahshad Shariatnasab, Esteban Schafir +2

Web traffic has evolved to include both human users and automated agents, ranging from benign web crawlers to adversarial scanners such as those capable of credential stuffing, com…

cs.CR2021★ 2 cited

An Adaptable Deep Learning-Based Intrusion Detection System to Zero-Day Attacks

Mahdi Soltani, Behzad Ousat, Mahdi Jafari Siavoshani +1

The intrusion detection system (IDS) is an essential element of security monitoring in computer networks. An IDS distinguishes the malicious traffic from the benign one and determi…