-
公开(公告)号:GB2529122A
公开(公告)日:2016-02-10
申请号:GB201521731
申请日:2014-02-24
Applicant: IBM
Inventor: CHRISTODORESCU MIHAI , HU XIN , SCHALES DOUGLAS LEE , SAILER REINER , STOECKLIN MARC P , WANG TING
IPC: G06F17/30
Abstract: A distributed feature collection and correlation engine is provided, Feature extraction comprises obtaining one or more data records; extracting information from the one or more data records based on domain knowledge; transforming the extracted information into a key/value pair comprised of a key K and a value V, wherein the key comprises a feature identifier; and storing the key/value pair in a feature store database if the key/value pair does not already exist in the feature store database using a de-duplication mechanism. Features extracted from data records can be queried by obtaining a feature store database comprised of the extracted features stored as a key/value pair comprised of a key K and a value V, wherein the key comprises a feature identifier; receiving a query comprised of at least one query key; retrieving values from the feature store database that match the query key; and returning one or more retrieved key/value pairs.
-
2.
公开(公告)号:CA2874097C
公开(公告)日:2020-09-22
申请号:CA2874097
申请日:2013-03-21
Applicant: IBM
Inventor: CHRISTODORESCU MIHAI , RAO JOSYULA R , SAILER REINER , SCHALES DOUGLAS LEE
Abstract: Methods and apparatus are provided for detecting unauthorized bulk forwarding of sensitive data over a network. A bulk forwarding of email from a first network environment is automatically detected by determining an arrival rate for internal emails received from within the first network environment into one or more user accounts; determining a sending rate for external emails sent from the one or more user accounts to a second network environment; and detecting the bulk forwarding of email from a given user account by comparing the arrival rate for internal emails and the sending rate for external emails. The bulk forwarding of email from a given user account can be detected by determining whether statistical models of the arrival rate for internal emails and of the sending rate for external emails are correlated in time.
-
3.
公开(公告)号:GB2515974A
公开(公告)日:2015-01-07
申请号:GB201420108
申请日:2013-03-21
Applicant: IBM
Inventor: CHRISTODORESCU MIHAI , RAO JOSYULA R , SAILER REINER , SCHALES DOUGLAS LEE
Abstract: Methods and apparatus are provided for detecting unauthorized bulk forwarding of sensitive data over a network. A bulk forwarding of email from a first network environment is automatically detected by determining an arrival rate for internal emails received from within the first network environment into one or more user accounts; determining a sending rate for external emails sent from the one or more user accounts to a second network environment; and detecting the bulk forwarding of email from a given user account by comparing the arrival rate for internal emails and the sending rate for external emails. The bulk forwarding of email from a given user account can be detected by determining whether statistical models of the arrival rate for internal emails and of the sending rate for external emails are correlated in time.
-
4.
公开(公告)号:CA2874097A1
公开(公告)日:2013-12-19
申请号:CA2874097
申请日:2013-03-21
Applicant: IBM
Inventor: CHRISTODORESCU MIHAI , RAO JOSYULA R , SAILER REINER , SCHALES DOUGLAS LEE
Abstract: Methods and apparatus are provided for detecting unauthorized bulk forwarding of sensitive data over a network. A bulk forwarding of email from a first network environment is automatically detected by determining an arrival rate for internal emails received from within the first network environment into one or more user accounts; determining a sending rate for external emails sent from the one or more user accounts to a second network environment; and detecting the bulk forwarding of email from a given user account by comparing the arrival rate for internal emails and the sending rate for external emails. The bulk forwarding of email from a given user account can be detected by determining whether statistical models of the arrival rate for internal emails and of the sending rate for external emails are correlated in time.
-
-
-