Patents by Inventor Sajjad HOSSEINZADEH

Sajjad HOSSEINZADEH 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).

  • Patent number: 11128648
    Abstract: An improved system and method for detecting network anomalies comprises, in one implementation, a computer device and a network anomaly detector module executed by the computer device arranged to electronically sniff network traffic data in an aggregate level using a windowing approach. The windowing approach is configured to view the network traffic data through a plurality of time windows each of which represents a sequence of a feature including packet per second or flow per second. The network anomaly detector module is configured to execute a wavelet transform for capturing properties of the network traffic data, such as long-range dependence and self-similarity. The wavelet transform is a multiresolution transform, and can be configured to decompose and simplify statistics of the network traffic data into a simplified and fast algorithm.
    Type: Grant
    Filed: December 31, 2018
    Date of Patent: September 21, 2021
    Assignees: AMIRKABIR UNIVERSITY OF TECHNOLOGY
    Inventors: Maryam Amirmazlaghani, Sajjad Hosseinzadeh
  • Publication number: 20190158522
    Abstract: An improved system and method for detecting network anomalies comprises, in one implementation, a computer device and a network anomaly detector module executed by the computer device arranged to electronically sniff network traffic data in an aggregate level using a windowing approach. The windowing approach is configured to view the network traffic data through a plurality of time windows each of which represents a sequence of a feature including packet per second or flow per second. The network anomaly detector module is configured to execute a wavelet transform for capturing properties of the network traffic data, such as long-range dependence and self-similarity. The wavelet transform is a multiresolution transform, and can be configured to decompose and simplify statistics of the network traffic data into a simplified and fast algorithm.
    Type: Application
    Filed: December 31, 2018
    Publication date: May 23, 2019
    Applicants: AMIRKABIR UNIVERSITY OF TECHNOLOGY
    Inventors: Maryam AMIRMAZLAGHANI, Sajjad HOSSEINZADEH