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公开(公告)号:US11019095B2
公开(公告)日:2021-05-25
申请号:US16261682
申请日:2019-01-30
Applicant: Cisco Technology, Inc.
Inventor: Martin Grill , Lukas Bajer , Martin Kopp , Jan Kohout
IPC: H04L29/06
Abstract: In one embodiment, a device in a network obtains log data regarding replication of files stored on an endpoint client to a file replication service. The device tracks, based on the obtained logs, encryption changes to the files that convert the files from unencrypted files to encrypted files. The device determines that the tracked encryption changes to the files are indicative of a ransomware infection on the endpoint client. The device initiates a mitigation action regarding the ransomware infection.
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公开(公告)号:US10965704B2
公开(公告)日:2021-03-30
申请号:US16447150
申请日:2019-06-20
Applicant: Cisco Technology, Inc.
Inventor: Martin Kopp , Martin Grill , Jan Kohout
Abstract: In one embodiment, a device in a network receives traffic information regarding one or more secure sessions in the network. The device associates the one or more secure sessions with corresponding certificate validation check traffic indicated by the received traffic information. The device makes a self-signed certificate determination for an endpoint domain of a particular secure session based on whether the particular secure session is associated with certificate validation check traffic. The device causes the self-signed certificate determination for the endpoint domain to be used as input to a malware detector.
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公开(公告)号:US20210006589A1
公开(公告)日:2021-01-07
申请号:US17029156
申请日:2020-09-23
Applicant: Cisco Technology, Inc.
Inventor: Jan Kohout , Blake Harrell Anderson , Martin Grill , David McGrew , Martin Kopp , Tomas Pevny
IPC: H04L29/06 , G06N20/00 , H04L12/24 , H04L12/851
Abstract: In one embodiment, a device in a network detects an encrypted traffic flow associated with a client in the network. The device captures contextual traffic data regarding the encrypted traffic flow from one or more unencrypted packets associated with the client. The device performs a classification of the encrypted traffic flow by using the contextual traffic data as input to a machine learning-based classifier. The device generates an alert based on the classification of the encrypted traffic flow.
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公开(公告)号:US10749770B2
公开(公告)日:2020-08-18
申请号:US16156020
申请日:2018-10-10
Applicant: Cisco Technology, Inc.
Inventor: Jan Kohout , Martin Grill , Martin Kopp , Lukas Bajer
IPC: H04L12/28 , H04L12/26 , H04L12/851
Abstract: In one embodiment, a traffic analysis service obtains telemetry data regarding network traffic associated with a device in a network. The traffic analysis service forms a histogram of frequencies of the traffic features from the telemetry data for the device. The traffic features are indicative of endpoints with which the device communicated. The traffic analysis service associates a device type with the device, by comparing the histogram of the traffic features from the telemetry data to histograms of traffic features associated with other devices. The traffic analysis service initiates, based on the device type associated with the device, an adjustment to treatment of the traffic associated with the device by the network.
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公开(公告)号:US20180103056A1
公开(公告)日:2018-04-12
申请号:US15286728
申请日:2016-10-06
Applicant: Cisco Technology, Inc.
Inventor: Jan Kohout , Blake Harrell Anderson , Martin Grill , David McGrew , Martin Kopp , Tomas Pevny
IPC: H04L29/06 , H04L12/851 , H04L12/24 , G06N99/00
CPC classification number: H04L63/1441 , G06N20/00 , H04L41/0686 , H04L47/2441 , H04L63/0428 , H04L63/1416 , H04L63/1425 , H04L63/145 , H04L63/168
Abstract: In one embodiment, a device in a network detects an encrypted traffic flow associated with a client in the network. The device captures contextual traffic data regarding the encrypted traffic flow from one or more unencrypted packets associated with the client. The device performs a classification of the encrypted traffic flow by using the contextual traffic data as input to a machine learning-based classifier. The device generates an alert based on the classification of the encrypted traffic flow.
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26.
公开(公告)号:US20180013681A1
公开(公告)日:2018-01-11
申请号:US15204061
申请日:2016-07-07
Applicant: Cisco Technology, Inc.
Inventor: Jan Kohout , Tomas Pevny
IPC: H04L12/851 , H04L29/06 , H04L12/721 , H04L29/08 , G06F17/30
CPC classification number: H04L47/2441 , G06F17/3053 , H04L45/38 , H04L63/1425 , H04L67/02
Abstract: In one embodiment, a device in a network receives traffic data associated with a particular communication channel between two or more nodes in the network. The device generates a mean map by employing kernel embedding of distributions to the traffic data. The device forms a representation of the communication channel by identifying a set of lattice points that approximate the mean map. The device generates a traffic classifier using the representation of the communication channel. The device uses machine learning to jointly identify the set of lattice points and one or more parameters of the traffic classifier. The device causes the traffic classifier to analyze network traffic sent via the communication channel.
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公开(公告)号:US09531742B2
公开(公告)日:2016-12-27
申请号:US15095076
申请日:2016-04-10
Applicant: Cisco Technology, Inc.
Inventor: Jan Kohout , Jan Jusko , Tomas Pevny , Martin Rehak
IPC: H04L29/06
CPC classification number: H04L63/1425 , H04L63/1408 , H04L63/1441 , H04L63/145 , H04L63/1466 , H04L63/1491 , H04L63/164 , H04L63/20
Abstract: In one embodiment a method, system and apparatus is described for detecting a malicious network connection, the method system and apparatus including determining, for each connection over a network, if each connection is a persistent connection, if, as a result of the determining, a first connection is determined to be a persistent connection, collecting connection statistics for the first connection, creating a feature vector for the first connection based on the collected statistics, performing outlier detection for all of the feature vector for all connections over a network which have been determined to be persistent connections, and reporting detected outliers. Related methods, systems and apparatus are also described.
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28.
公开(公告)号:US12160429B2
公开(公告)日:2024-12-03
申请号:US18225517
申请日:2023-07-24
Applicant: Cisco Technology, Inc.
Inventor: Petr Somol , Martin Kopp , Jan Kohout , Jan Brabec , Marc René Jacques Marie Dupont , Cenek Skarda , Lukas Bajer , Danila Khikhlukha
Abstract: In one embodiment, a device obtains input features for a neural network-based model. The device pre-defines a set of neurons of the model to represent known behaviors associated with the input features. The device constrains weights for a plurality of outputs of the model. The device trains the neural network-based model using the constrained weights for the plurality of outputs of the model and by excluding the pre-defined set of neurons from updates during the training.
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公开(公告)号:US20240259414A1
公开(公告)日:2024-08-01
申请号:US18632209
申请日:2024-04-10
Applicant: Cisco Technology, Inc.
Inventor: Jan Kohout , Cenek Skarda , Martin Kopp , Kyrylo Shcherbin , Jaroslav Hlavac
IPC: H04L9/40
CPC classification number: H04L63/1425
Abstract: Techniques for combining threat-related events associated with different modalities to provide a complete insight into cyber attack life cycles. The techniques may include receiving telemetry data associated with one or more modalities and detecting, based at least in part on the telemetry data, one or more abnormal events associated with security incidents. The one or more abnormal events may include at least a first abnormal event associated with a first modality and a second abnormal event associated with a second modality. The techniques may also include determining that an entity associated with the abnormal events is a same entity and, based at least in part on the entity comprising the same entity, determining that a correlation between the abnormal events is indicative of a security incident. Based at least in part on the correlation, an indication associated with the security incident may be output.
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公开(公告)号:US11936683B2
公开(公告)日:2024-03-19
申请号:US17873544
申请日:2022-07-26
Applicant: Cisco Technology, Inc.
Inventor: Jan Kohout , Blake Harrell Anderson , Martin Grill , David McGrew , Martin Kopp , Tomas Pevny
IPC: H04L9/40 , G06N20/00 , H04L41/0686 , H04L47/2441 , G06N20/20
CPC classification number: H04L63/1441 , G06N20/00 , H04L41/0686 , H04L47/2441 , H04L63/0428 , H04L63/1416 , H04L63/1425 , H04L63/145 , H04L63/168 , G06N20/20
Abstract: In one embodiment, a device in a network detects an encrypted traffic flow associated with a client in the network. The device captures contextual traffic data regarding the encrypted traffic flow from one or more unencrypted packets associated with the client. The device performs a classification of the encrypted traffic flow by using the contextual traffic data as input to a machine learning-based classifier. The device generates an alert based on the classification of the encrypted traffic flow.
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