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公开(公告)号：US20240134728A1
公开(公告)日：2024-04-25
申请号：US18496880
申请日：2023-10-29
Inventor： Paulo Shakarian , Mohammed Almukaynizi , Jana Shakarian , Eric Nunes , Krishna Dharaiya , Manoj Balasubramaniam Senguttuvan , Alexander Grimm
CPC classification number: G06F11/008 , G06F18/2148 , G06F18/24 , G06F21/54 , G06F21/552 , G06F21/577
Abstract: Various embodiments for predicting which software vulnerabilities will be exploited by malicious hackers and hence prioritized by patching are disclosed.
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2.发明申请SYSTEMS AND METHODS FOR ORDER-OF-MAGNITUDE VIRAL CASCADE PREDICTION IN SOCIAL NETWORKS 审中-公开社会网络中用于预测病毒预测的系统和方法公开(公告)号：US20170039305A1
公开(公告)日：2017-02-09
申请号：US15229776
申请日：2016-08-05
Inventor： Paulo Shakarian , Ruocheng Guo , Elham Shaabani , Abhinav Bhatnagar
CPC classification number: G06F17/5009 , G06F2217/16 , G06Q10/04 , G06Q10/10 , G06Q50/01
Abstract: Systems and methods for predicting order-of-magnitude viral cascades in social networks are disclosed.
Abstract translation: 披露了用于预测社交网络中病毒级联病毒级联的系统和方法。
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公开(公告)号：US20220070196A1
公开(公告)日：2022-03-03
申请号：US16653899
申请日：2019-10-15
Inventor： Soumajyoti Sarkar , Mohammed Almukaynizi , Jana Shakarian , Paulo Shakarian
Abstract: Systems and methods for predicting enterprise cyber incidents using social network analysis on the darkweb hacker forums are disclosed.
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公开(公告)号：US10313385B2
公开(公告)日：2019-06-04
申请号：US15362730
申请日：2016-11-28
Inventor： Paulo Shakarian , John Robertson , Jana Shakarian , Vivin Paliath , Amanda Thart
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.
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公开(公告)号：US11552976B2
公开(公告)日：2023-01-10
申请号：US16653899
申请日：2019-10-15
Inventor： Soumajyoti Sarkar , Mohammed Almukaynizi , Jana Shakarian , Paulo Shakarian
Abstract: Systems and methods for predicting enterprise cyber incidents using social network analysis on the darkweb hacker forums are disclosed.
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Patent Agency Ranking
公开(公告)号：US10176438B2
公开(公告)日：2019-01-08
申请号：US15186278
申请日：2016-06-17
Applicant: ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA STATE UNIVERSITY , CARNEGIE MELLON UNIVERSITY
Inventor： Paulo Shakarian , Eric Nunes , Casey Buto , Christian Lebiere , Robert Thomson , Stefano Bennati
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.
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公开(公告)号：US11693972B2
公开(公告)日：2023-07-04
申请号：US16875540
申请日：2020-05-15
Applicant: Arizona Board of Regents on Behalf of Arizona State University , Cyber Reconnaissance, Inc.
Inventor： Eric Nunes , Jana Shakarian , Paulo Shakarian , Mohammed Almukaynizi , Harshdeep Singh , Gerardo Simari , Anant Sharma
IPC: G06F21/57 , G06F16/951 , G06F16/9536 , G06N20/00
CPC classification number: G06F21/577 , G06F16/951 , G06F16/9536 , G06N20/00 , G06F2221/034
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.
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8.发明授权公开(公告)号：US11520900B2
公开(公告)日：2022-12-06
申请号：US16548329
申请日：2019-08-22
Inventor： Nazgol Tavabi , Palash Goyal , Kristina Lerman , Mohammed Almukaynizi , Paulo Shakarian
IPC: G06F21/57 , H04L9/40 , H04L51/216 , G06F40/279
Abstract: Various embodiments of a computer-implemented framework for predicting exploitation of software vulnerabilities are disclosed.
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公开(公告)号：US10437945B2
公开(公告)日：2019-10-08
申请号：US15229776
申请日：2016-08-05
Inventor： Paulo Shakarian , Ruocheng Guo , Elham Shaabani , Abhinav Bhatnagar
Abstract: Systems and methods for predicting order-of-magnitude viral cascades in social networks are disclosed.
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公开(公告)号：US20170155677A1
公开(公告)日：2017-06-01
申请号：US15362730
申请日：2016-11-28
Inventor： Paulo Shakarian , John Robertson , Jana Shakarian , Vivin Paliath , Amanda Thart
CPC classification number: H04L63/1433 , G06Q30/0201 , H04L63/1441
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.
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