6 citations · 15 across the 6 of their papers we have counts for
11 papers
Claim Verification using a Multi-GAN based Model
Amartya Hatua, Arjun Mukherjee, Rakesh M. Verma
This article describes research on claim verification carried out using a multiple GAN-based model. The proposed model consists of three pairs of generators and discriminators. The…
Modeling Coherency in Generated Emails by Leveraging Deep Neural Learners
Avisha Das, Rakesh M. Verma
Advanced machine learning and natural language techniques enable attackers to launch sophisticated and targeted social engineering-based attacks. To counter the active attacker iss…
Less is More: Exploiting Social Trust to Increase the Effectiveness of a Deception Attack
Shahryar Baki, Rakesh M. Verma, Arjun Mukherjee +1
Cyber attacks such as phishing, IRS scams, etc., still are successful in fooling Internet users. Users are the last line of defense against these attacks since attackers seem to al…
SOK: A Comprehensive Reexamination of Phishing Research from the Security Perspective
Avisha Das, Shahryar Baki, Ayman El Aassal +2
Phishing and spear-phishing are typical examples of masquerade attacks since trust is built up through impersonation for the attack to succeed. Given the prevalence of these attack…
Online News Media Website Ranking Using User Generated Content
Samaneh Karimi, Azadeh Shakery, Rakesh Verma
News media websites are important online resources that have drawn great attention of text mining researchers. The main aim of this study is to propose a framework for ranking onli…
Automated email Generation for Targeted Attacks using Natural Language
Avisha Das, Rakesh Verma
With an increasing number of malicious attacks, the number of people and organizations falling prey to social engineering attacks is proliferating. Despite considerable research in…