SG10201809997SA - Dark web content analysis and identification - Google Patents
Dark web content analysis and identificationInfo
- Publication number
- SG10201809997SA SG10201809997SA SG10201809997SA SG10201809997SA SG10201809997SA SG 10201809997S A SG10201809997S A SG 10201809997SA SG 10201809997S A SG10201809997S A SG 10201809997SA SG 10201809997S A SG10201809997S A SG 10201809997SA SG 10201809997S A SG10201809997S A SG 10201809997SA
- Authority
- SG
- Singapore
- Prior art keywords
- identification
- web content
- content analysis
- dark web
- dark
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/35—Clustering; Classification
- G06F16/355—Class or cluster creation or modification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
- G06F18/232—Non-hierarchical techniques
- G06F18/2321—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/044—Recurrent networks, e.g. Hopfield networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/047—Probabilistic or stochastic networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/084—Backpropagation, e.g. using gradient descent
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/088—Non-supervised learning, e.g. competitive learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/30—Noise filtering
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
- G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
- G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
- G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
- G06V10/454—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/762—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using clustering, e.g. of similar faces in social networks
- G06V10/763—Non-hierarchical techniques, e.g. based on statistics of modelling distributions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/62—Text, e.g. of license plates, overlay texts or captions on TV images
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/19—Recognition using electronic means
- G06V30/191—Design or setup of recognition systems or techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06V30/19127—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/40—Document-oriented image-based pattern recognition
- G06V30/41—Analysis of document content
- G06V30/413—Classification of content, e.g. text, photographs or tables
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
- H04L63/1408—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
- H04L63/1425—Traffic logging, e.g. anomaly detection
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
Priority Applications (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
SG10201809997SA SG10201809997SA (en) | 2018-11-09 | 2018-11-09 | Dark web content analysis and identification |
US16/589,962 US11403349B2 (en) | 2018-11-09 | 2019-10-01 | Dark web content analysis and identification |
US17/856,696 US11768866B2 (en) | 2018-11-09 | 2022-07-01 | Dark web content analysis and identification |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
SG10201809997SA SG10201809997SA (en) | 2018-11-09 | 2018-11-09 | Dark web content analysis and identification |
Publications (1)
Publication Number | Publication Date |
---|---|
SG10201809997SA true SG10201809997SA (en) | 2020-06-29 |
Family
ID=70552174
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
SG10201809997SA SG10201809997SA (en) | 2018-11-09 | 2018-11-09 | Dark web content analysis and identification |
Country Status (2)
Country | Link |
---|---|
US (2) | US11403349B2 (en) |
SG (1) | SG10201809997SA (en) |
Families Citing this family (21)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2018175262A1 (en) * | 2017-03-21 | 2018-09-27 | Tora Holdings, Inc. | Secure order matching by distributing data and processing across multiple segregated computation nodes |
US11275900B2 (en) * | 2018-05-09 | 2022-03-15 | Arizona Board Of Regents On Behalf Of Arizona State University | Systems and methods for automatically assigning one or more labels to discussion topics shown in online forums on the dark web |
US11531865B2 (en) * | 2020-02-28 | 2022-12-20 | Toyota Research Institute, Inc. | Systems and methods for parallel autonomy of a vehicle |
US11392648B2 (en) * | 2020-03-30 | 2022-07-19 | S&P Global Inc. | Calculating voice share and company sentiment |
US11544880B2 (en) | 2020-05-14 | 2023-01-03 | Adobe Inc. | Generating modified digital images utilizing a global and spatial autoencoder |
CN111859913B (en) * | 2020-06-12 | 2024-04-12 | 北京百度网讯科技有限公司 | Processing method and device of wind control characteristic factors, electronic equipment and storage medium |
CN111611981A (en) * | 2020-06-28 | 2020-09-01 | 腾讯科技(深圳)有限公司 | Information identification method and device and information identification neural network training method and device |
CN111741018B (en) * | 2020-07-24 | 2020-12-01 | 中国航空油料集团有限公司 | Industrial control data attack sample generation method and system, electronic device and storage medium |
US20220058444A1 (en) * | 2020-08-19 | 2022-02-24 | Capital One Services, Llc | Asymmetric adversarial learning framework for multi-turn dialogue response generation |
EP3979138A1 (en) * | 2020-09-30 | 2022-04-06 | Deutsche Telekom AG | Method for data anonymization in a system, and system |
CN112560603B (en) * | 2020-12-04 | 2022-11-22 | 中国船舶重工集团公司第七一五研究所 | Underwater sound data set expansion method based on wavelet image |
KR102257139B1 (en) * | 2020-12-18 | 2021-05-27 | 한국인터넷진흥원 | Method and apparatus for collecting information regarding dark web |
CN112632292A (en) * | 2020-12-23 | 2021-04-09 | 深圳壹账通智能科技有限公司 | Method, device and equipment for extracting service keywords and storage medium |
CN112784691B (en) * | 2020-12-31 | 2023-06-02 | 杭州海康威视数字技术股份有限公司 | Target detection model training method, target detection method and device |
US11763033B2 (en) | 2021-01-01 | 2023-09-19 | Bank Of America Corporation | Leveraging entity dark web chatter using slope of vendor identifier appearances as a search proxy |
US11694018B2 (en) * | 2021-01-29 | 2023-07-04 | Salesforce, Inc. | Machine-learning based generation of text style variations for digital content items |
CN113671421A (en) * | 2021-08-24 | 2021-11-19 | 华北电力大学(保定) | Transformer state evaluation and fault early warning method |
CN114814993B (en) * | 2022-03-25 | 2023-04-18 | 河海大学 | Microwave attenuation snowfall intensity monitoring method based on DCGAN and 2D-CNN |
US11706226B1 (en) * | 2022-06-21 | 2023-07-18 | Uab 360 It | Systems and methods for controlling access to domains using artificial intelligence |
CN115001861B (en) * | 2022-07-20 | 2022-12-09 | 中国电子科技集团公司第三十研究所 | Method and system for detecting abnormal services of hidden network based on mixed fingerprint characteristics |
CN116504259B (en) * | 2023-06-30 | 2023-08-29 | 中汇丰(北京)科技有限公司 | Semantic recognition method based on natural language processing |
Family Cites Families (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7133862B2 (en) * | 2001-08-13 | 2006-11-07 | Xerox Corporation | System with user directed enrichment and import/export control |
US9740979B2 (en) * | 2015-12-06 | 2017-08-22 | Xeeva, Inc. | Model stacks for automatically classifying data records imported from big data and/or other sources, associated systems, and/or methods |
CN108664894A (en) * | 2018-04-10 | 2018-10-16 | 天津大学 | The human action radar image sorting technique of neural network is fought based on depth convolution |
US10713569B2 (en) * | 2018-05-31 | 2020-07-14 | Toyota Research Institute, Inc. | System and method for generating improved synthetic images |
US11481416B2 (en) * | 2018-07-12 | 2022-10-25 | International Business Machines Corporation | Question Answering using trained generative adversarial network based modeling of text |
KR20210099564A (en) * | 2018-12-31 | 2021-08-12 | 인텔 코포레이션 | Security system using artificial intelligence |
CN110287800B (en) * | 2019-05-29 | 2022-08-16 | 河海大学 | Remote sensing image scene classification method based on SGSE-GAN |
-
2018
- 2018-11-09 SG SG10201809997SA patent/SG10201809997SA/en unknown
-
2019
- 2019-10-01 US US16/589,962 patent/US11403349B2/en active Active
-
2022
- 2022-07-01 US US17/856,696 patent/US11768866B2/en active Active
Also Published As
Publication number | Publication date |
---|---|
US11403349B2 (en) | 2022-08-02 |
US11768866B2 (en) | 2023-09-26 |
US20220342941A1 (en) | 2022-10-27 |
US20200151222A1 (en) | 2020-05-14 |
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