-
1.发明授权公开(公告)号：US11783029B2
公开(公告)日：2023-10-10
申请号：US17140797
申请日：2021-01-04
Applicant: Intel Corporation
Inventor： Chih-Yuan Yang , Yi Gai
CPC classification number: G06F21/552 , G06F21/52 , G06N20/10 , G06N20/00
Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to improve feature engineering efficiency. An example method disclosed herein includes retrieving a log file in a first file format, the log file containing feature occurrence data, generating a first unit operation based on the first file format to extract the feature occurrence data from the log file to a string, the first unit operation associated with a first metadata tag, generating second unit operations to identify respective features from the feature occurrence data, the second unit operations associated with respective second metadata tags, and generating a first sequence of the first metadata tag and the second metadata tags to create a first vector output file of the feature occurrence data.
-
2.发明申请公开(公告)号：US20210200863A1
公开(公告)日：2021-07-01
申请号：US17140797
申请日：2021-01-04
Applicant: Intel Corporation
Inventor： Chih-Yuan Yang , Yi Gai
Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to improve feature engineering efficiency. An example method disclosed herein includes retrieving a log file in a first file format, the log file containing feature occurrence data, generating a first unit operation based on the first file format to extract the feature occurrence data from the log file to a string, the first unit operation associated with a first metadata tag, generating second unit operations to identify respective features from the feature occurrence data, the second unit operations associated with respective second metadata tags, and generating a first sequence of the first metadata tag and the second metadata tags to create a first vector output file of the feature occurrence data
-
3.发明申请公开(公告)号：US20170344749A1
公开(公告)日：2017-11-30
申请号：US15166922
申请日：2016-05-27
Applicant: Intel Corporation
Inventor： Chih-Yuan Yang , Yi Gai
CPC classification number: G06F21/6209 , G06F16/25 , G06F16/9535 , G06F2221/2141 , H04L63/101
Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to facilitate electronic data security. An example apparatus includes a data storage including a memory adjusted to store data organized according to a data table including columns identifying a first data record and a first security tag associated with the first data record. In the example apparatus, retrieval of data from the data storage involves a bit operation comparing the first security tag with a first privilege tag. In the example apparatus, the data storage provides the first data record when the bit operation comparing the first security tag with the first privilege tag has a non-zero result, and the data storage does not provide the first data record when the bit operation comparing the first security tag with the first privilege tag has a zero result.
-
公开(公告)号：US20210056217A1
公开(公告)日：2021-02-25
申请号：US16844639
申请日：2020-04-09
Applicant: Intel Corporation
Inventor： Chih-Yuan Yang , Yi Gai
IPC: G06F21/62 , H04L29/06 , G06F16/25 , G06F16/9535
Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to facilitate electronic data security. An example apparatus includes a data storage including a memory adjusted to store data organized according to a data table including columns identifying a first data record and a first security tag associated with the first data record. In the example apparatus, retrieval of data from the data storage involves a bit operation comparing the first security tag with a first privilege tag. In the example apparatus, the data storage provides the first data record when the bit operation comparing the first security tag with the first privilege tag has a non-zero result, and the data storage does not provide the first data record when the bit operation comparing the first security tag with the first privilege tag has a zero result.
-
公开(公告)号：US20200175166A1
公开(公告)日：2020-06-04
申请号：US16780218
申请日：2020-02-03
Applicant: Intel Corporation
Inventor： Mingwei Zhang , Xiaoning Li , Ravi L. Sahita , Aravind Subramanian , Abhay S. Kanhere , Chih-Yuan Yang , Yi Gai
Abstract: A malicious object detection system for use in managed runtime environments includes a check circuit to receive call information generated by an application, such as an Android application. A machine learning circuit coupled to the check circuit applies a machine learning model to assess the information and/or data included in the call and detect the presence of a malicious object, such as malware or a virus, in the application generating the call. The machine learning model may include a global machine learning model distributed across a number of devices, a local machine learning model based on use patterns of a particular device, or combinations thereof. A graphical user interface management circuit halts execution of applications containing malicious objects and generates a user perceptible output.
-
Patent Agency Ranking
公开(公告)号：US11620397B2
公开(公告)日：2023-04-04
申请号：US16844639
申请日：2020-04-09
Applicant: Intel Corporation
Inventor： Chih-Yuan Yang , Yi Gai
IPC: G06F21/62 , H04L9/40 , G06F16/25 , G06F16/9535
Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to facilitate electronic data security. An example apparatus includes a data storage including a memory adjusted to store data organized according to a data table including columns identifying a first data record and a first security tag associated with the first data record. In the example apparatus, retrieval of data from the data storage involves a bit operation comparing the first security tag with a first privilege tag. In the example apparatus, the data storage provides the first data record when the bit operation comparing the first security tag with the first privilege tag has a non-zero result, and the data storage does not provide the first data record when the bit operation comparing the first security tag with the first privilege tag has a zero result.
-
公开(公告)号：US11568051B2
公开(公告)日：2023-01-31
申请号：US16780218
申请日：2020-02-03
Applicant: Intel Corporation
Inventor： Mingwei Zhang , Xiaoning Li , Ravi L. Sahita , Aravind Subramanian , Abhay S. Kanhere , Chih-Yuan Yang , Yi Gai
Abstract: A malicious object detection system for use in managed runtime environments includes a check circuit to receive call information generated by an application, such as an Android application. A machine learning circuit coupled to the check circuit applies a machine learning model to assess the information and/or data included in the call and detect the presence of a malicious object, such as malware or a virus, in the application generating the call. The machine learning model may include a global machine learning model distributed across a number of devices, a local machine learning model based on use patterns of a particular device, or combinations thereof. A graphical user interface management circuit halts execution of applications containing malicious objects and generates a user perceptible output.
-
8.发明授权公开(公告)号：US10915627B2
公开(公告)日：2021-02-09
申请号：US16805159
申请日：2020-02-28
Applicant: Intel Corporation
Inventor： Chih-Yuan Yang , Yi Gai
Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to improve feature engineering efficiency. An example method disclosed herein includes retrieving a log file in a first file format, the log file containing feature occurrence data, generating a first unit operation based on the first file format to extract the feature occurrence data from the log file to a string, the first unit operation associated with a first metadata tag, generating second unit operations to identify respective features from the feature occurrence data, the second unit operations associated with respective second metadata tags, and generating a first sequence of the first metadata tag and the second metadata tags to create a first vector output file of the feature occurrence data.
-
公开(公告)号：US10552609B2
公开(公告)日：2020-02-04
申请号：US15395053
申请日：2016-12-30
Applicant: INTEL CORPORATION
Inventor： Mingwei Zhang , Xiaoning Li , Ravi L. Sahita , Aravind Subramanian , Abhay S. Kanhere , Chih-Yuan Yang , Yi Gai
Abstract: A malicious object detection system for use in managed runtime environments includes a check circuit to receive call information generated by an application, such as an Android application. A machine learning circuit coupled to the check circuit applies a machine learning model to assess the information and/or data included in the call and detect the presence of a malicious object, such as malware or a virus, in the application generating the call. The machine learning model may include a global machine learning model distributed across a number of devices, a local machine learning model based on use patterns of a particular device, or combinations thereof. A graphical user interface management circuit halts execution of applications containing malicious objects and generates a user perceptible output.
-
10.发明申请公开(公告)号：US20200372151A1
公开(公告)日：2020-11-26
申请号：US16805159
申请日：2020-02-28
Applicant: Intel Corporation
Inventor： Chih-Yuan Yang , Yi Gai
Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to improve feature engineering efficiency. An example method disclosed herein includes retrieving a log file in a first file format, the log file containing feature occurrence data, generating a first unit operation based on the first file format to extract the feature occurrence data from the log file to a string, the first unit operation associated with a first metadata tag, generating second unit operations to identify respective features from the feature occurrence data, the second unit operations associated with respective second metadata tags, and generating a first sequence of the first metadata tag and the second metadata tags to create a first vector output file of the feature occurrence data
-
-
-
-
-
-
-
-
-
Search Results
12
records
(took 0.035 seconds)
