Patents by Inventor Paulo Shakarian

Paulo Shakarian 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).

  • SYSTEMS AND METHODS FOR DETECTING PATHOGENIC SOCIAL MEDIA ACCOUNTS WITHOUT CONTENT OR NETWORK STRUCTURE
    Publication number: 20200410028
    Abstract: Embodiments of a system and methods for detecting social media designed to spread malicious information to “viral” proportions are disclosed. Historical cascade event data from preselected social media accounts as well as information from related accounts is applied to one or more causality metrics to generate a set of causality values. Causality values are further refined and analyzed to determine how casual a user is with respect to a cascade as opposed to other similar users.
    Type: Application
    Filed: February 8, 2019
    Publication date: December 31, 2020
    Inventors: Elham Shaabani, Paulo Shakarian, Hamidreza Alvari, Ruocheng Guo
  • SYSTEMS AND METHODS FOR AN AT-RISK SYSTEM IDENTIFICATION VIA ANALYSIS OF ONLINE HACKER COMMUNITY DISCUSSIONS
    Publication number: 20200364349
    Abstract: Various embodiments of systems and methods for an at-risk system identification via analysis of discussions from various online hacker communities are disclosed herein.
    Type: Application
    Filed: May 15, 2020
    Publication date: November 19, 2020
    Inventors: Eric Nunes, Jana Shakarian, Paulo Shakarian, Mohammed Almukaynizi, Harshdeep Singh, Gerardo Simari, Anant Sharma
  • SYSTEMS AND METHODS FOR PREDICTING WHICH SOFTWARE VULNERABILITIES WILL BE EXPLOITED BY MALICIOUS HACKERS TO PRIORITIZE FOR PATCHING
    Publication number: 20200356675
    Abstract: Various embodiments for predicting which software vulnerabilities will be exploited by malicious hackers and hence prioritized by patching are disclosed.
    Type: Application
    Filed: October 26, 2018
    Publication date: November 12, 2020
    Inventors: Paulo Shakarian, Mohammed Almukaynizi, Jana Shakarian, Eric Nunes, Krishna Dharaiya, Manoj Balasubramaniam Senguttuvan, Alexander Grimm
  • SYSTEMS AND METHODS FOR AGGREGATING, RANKING, AND MINIMIZING THREATS TO COMPUTER SYSTEMS BASED ON EXTERNAL VULNERABILITY INTELLIGENCE
    Publication number: 20200327237
    Abstract: Embodiments of computer-implemented systems and methods for vulnerability-based risk transfer for aggregating, ranking, and minimizing threats to computing devices based on external vulnerability intelligence are disclosed.
    Type: Application
    Filed: April 10, 2020
    Publication date: October 15, 2020
    Inventors: Paulo Shakarian, Jana Shakarian, Harshdeep Singh Sandhu, Mohammed Almukaynizi
  • SYSTEMS AND METHODS FOR IDENTIFYING INDICATORS OF CRYPTOCURRENCY PRICE REVERSALS LEVERAGING DATA FROM THE DARK/DEEP WEB
    Publication number: 20200134579
    Abstract: Computer-implemented systems and methods are disclosed for learning correlations between D2web activity and historical cryptocurrency trend reversals. The learned correlations are leveraged to generate rules executable by a computing device. When satisfied, the rules are utilized to predict a cryptocurrency price reversal.
    Type: Application
    Filed: October 29, 2019
    Publication date: April 30, 2020
    Inventors: Mohammed Almukaynizi, Paulo Shakarian, Malay Shah
  • SYSTEMS AND METHODS FOR PREDICTING THE LIKELIHOOD OF CYBER-THREATS LEVERAGING INTELLIGENCE ASSOCIATED WITH HACKER COMMUNITIES
    Publication number: 20200036743
    Abstract: Various embodiments of a system and methods for reasoning about enterprise-related external cyber threats using a rule-leaning approach are disclosed.
    Type: Application
    Filed: July 25, 2019
    Publication date: January 30, 2020
    Applicant: Arizona Board of Regents on Behalf of Arizona State University
    Inventors: Mohammed Almukaynizi, Ericsson Marin, Paulo Shakarian, Gerardo Simari, Eric Nunes
  • SYSTEMS AND METHODS FOR AUTOMATICALLY ASSIGNING ONE OR MORE LABELS TO DISCUSSION TOPICS SHOWN IN ONLINE FORUMS ON THE DARK WEB
    Publication number: 20190347327
    Abstract: Embodiments of a computer-implemented system for improving classification of data associated with the deep web or dark net are disclosed.
    Type: Application
    Filed: May 7, 2019
    Publication date: November 14, 2019
    Applicant: Arizona Board of Regents on Behalf of Arizona State University
    Inventors: Revanth Patil, Paulo Shakarian, Ashkan Aleali, Ericsson Marin
  • SYSTEMS AND METHODS FOR THIRD PARTY RISK ASSESSMENT
    Publication number: 20190349393
    Abstract: Embodiments for systems and methods for third party assessment related to the evaluation of risks associated with third parties in which hacker conversations on websites are filtered and analyzed using keywords as input to uncover relevant forum and marketplace discussions are disclosed herein.
    Type: Application
    Filed: May 9, 2019
    Publication date: November 14, 2019
    Applicant: Arizona Board of Regents on Behalf of Arizona State University
    Inventors: Eric Nunes, Krishna Dharaiya, Jana Shakarian, Paulo Shakarian
  • Systems and methods for order-of-magnitude viral cascade prediction in social networks
    Patent number: 10437945
    Abstract: Systems and methods for predicting order-of-magnitude viral cascades in social networks are disclosed.
    Type: Grant
    Filed: August 5, 2016
    Date of Patent: October 8, 2019
    Assignee: Arizona Board of Regents on Behalf of Arizona State University
    Inventors: Paulo Shakarian, Ruocheng Guo, Elham Shaabani, Abhinav Bhatnagar
  • Systems and methods for data driven game theoretic cyber threat mitigation
    Patent number: 10313385
    Abstract: System and methods for a data-driven security game framework that models an attacker based on exploit market data actively mined from the darknet to develop strategies for the defender are disclosed.
    Type: Grant
    Filed: November 28, 2016
    Date of Patent: June 4, 2019
    Assignee: Arizona Board of Regents on Behalf of Arizona State University
    Inventors: Paulo Shakarian, John Robertson, Jana Shakarian, Vivin Paliath, Amanda Thart
  • Systems and methods for data driven malware task identification
    Patent number: 10176438
    Abstract: Embodiments of a system and method for identifying malware tasks using a controlled environment to run malicious software to generate analysis reports, a parser to extract features from the analysis reports and a cognitively inspired learning algorithm to predict tasks associated with the malware are disclosed.
    Type: Grant
    Filed: June 17, 2016
    Date of Patent: January 8, 2019
    Assignees: Arizona Board of Regents on Behalf of Arizona State University, Carnegie Mellon University
    Inventors: Paulo Shakarian, Eric Nunes, Casey Buto, Christian Lebiere, Robert Thomson, Stefano Bennati
  • SYSTEMS AND METHODS FOR DATA DRIVEN GAME THEORETIC CYBER THREAT MITIGATION
    Publication number: 20170155677
    Abstract: System and methods for a data-driven security game framework that models an attacker based on exploit market data actively mined from the darknet to develop strategies for the defender are disclosed.
    Type: Application
    Filed: November 28, 2016
    Publication date: June 1, 2017
    Inventors: Paulo Shakarian, John Robertson, Jana Shakarian, Vivin Paliath, Amanda Thart
  • SYSTEMS AND METHODS FOR ORDER-OF-MAGNITUDE VIRAL CASCADE PREDICTION IN SOCIAL NETWORKS
    Publication number: 20170039305
    Abstract: Systems and methods for predicting order-of-magnitude viral cascades in social networks are disclosed.
    Type: Application
    Filed: August 5, 2016
    Publication date: February 9, 2017
    Inventors: Paulo Shakarian, Ruocheng Guo, Elham Shaabani, Abhinav Bhatnagar
  • SYSTEMS AND METHODS FOR DATA DRIVEN MALWARE TASK IDENTIFICATION
    Publication number: 20160371490
    Abstract: Embodiments of a system and method for identifying malware tasks using a controlled environment to run malicious software to generate analysis reports, a parser to extract features from the analysis reports and a cognitively inspired learning algorithm to predict tasks associated with the malware are disclosed.
    Type: Application
    Filed: June 17, 2016
    Publication date: December 22, 2016
    Inventors: Paulo Shakarian, Eric Nunes, Casey Buto, Christian Lebiere, Robert Thomson, Stefano Bennati