Patents by Inventor Nabil Hossain

Nabil Hossain has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Automatic phishing email detection based on natural language processing techniques
    Patent number: 10404745
    Abstract: A comprehensive scheme to detect phishing emails using features that are invariant and fundamentally characterize phishing. Multiple embodiments are described herein based on combinations of text analysis, header analysis, and link analysis, and these embodiments operate between a user's mail transfer agent (MTA) and mail user agent (MUA). The inventive embodiment, PhishNet-NLP™, utilizes natural language techniques along with all information present in an email, namely the header, links, and text in the body. The inventive embodiment, PhishSnag™, uses information extracted form the embedded links in the email and the email headers to detect phishing. The inventive embodiment, Phish-Sem™ uses natural language processing and statistical analysis on the body of labeled phishing and non-phishing emails to design four variants of an email-body-text only classifier. The inventive scheme is designed to detect phishing at the email level.
    Type: Grant
    Filed: August 1, 2016
    Date of Patent: September 3, 2019
    Inventors: Rakesh Verma, Narasimha Karpoor Shashidhar, Nabil Hossain, Nirmala Rai
  • Automatic Phishing Email Detection Based on Natural Language Processing Techniques
    Publication number: 20160344770
    Abstract: A comprehensive scheme to detect phishing emails using features that are invariant and fundamentally characterize phishing. Multiple embodiments are described herein based on combinations of text analysis, header analysis, and link analysis, and these embodiments operate between a user's mail transfer agent (MTA) and mail user agent (MUA). The inventive embodiment, PhishNet-NLP™, utilizes natural language techniques along with all information present in an email, namely the header, links, and text in the body. The inventive embodiment, PhishSnag™, uses information extracted form the embedded links in the email and the email headers to detect phishing. The inventive embodiment, Phish-Sem™ uses natural language processing and statistical analysis on the body of labeled phishing and non-phishing emails to design four variants of an email-body-text only classifier. The inventive scheme is designed to detect phishing at the email level.
    Type: Application
    Filed: August 1, 2016
    Publication date: November 24, 2016
    Inventors: Rakesh Verma, Narasimha Karpoor Shashidhar, Nabil Hossain, Nirmala Rai
  • AUTOMATIC PHISHING EMAIL DETECTION BASED ON NATURAL LANGUAGE PROCESSING TECHNIQUES
    Publication number: 20150067833
    Abstract: A comprehensive scheme to detect phishing emails using features that are invariant and fundamentally characterize phishing. Multiple embodiments are described herein based on combinations of text analysis, header analysis, and link analysis, and these embodiments operate between a user's mail transfer agent (MTA) and mail user agent (MUA). The inventive embodiment, PhishNet-NLP™, utilizes natural language techniques along with all information present in an email, namely the header, links, and text in the body. The inventive embodiment, PhishSnag™, uses information extracted form the embedded links in the email and the email headers to detect phishing. The inventive embodiment, Phish-Sem™ uses natural language processing and statistical analysis on the body of labeled phishing and non-phishing emails to design four variants of an email-body-text only classifier. The inventive scheme is designed to detect phishing at the email level.
    Type: Application
    Filed: August 30, 2013
    Publication date: March 5, 2015
    Inventors: Narasimha Shashidhar, Nabil Hossain, Rakesh Verma