[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Shahane et al., 2018 - Google Patents

A Survey on Classification Techniques to Determine Fake vs. Real Identities on Social Media Platforms

Shahane et al., 2018

View PDF
Document ID
11619937792797758680
Author
Shahane P
Gore D
Publication year
Publication venue
IJRDT

External Links

Snippet

Identity deception on social media platforms has become a growing problem with tremendous increase in number of accounts on social media. These fake identities can be used by offenders for various malicious purposes. This research aims at studying various …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6279—Classification techniques relating to the number of classes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6228—Selecting the most significant subset of features
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computer systems utilising knowledge based models
    • G06N5/02—Knowledge representation
    • G06N5/022—Knowledge engineering, knowledge acquisition
    • G06N5/025—Extracting rules from data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30587—Details of specialised database models
    • G06F17/30595—Relational databases
    • G06F17/30598—Clustering or classification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30705—Clustering or classification
    • G06F17/3071—Clustering or classification including class or cluster creation or modification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00771—Recognising scenes under surveillance, e.g. with Markovian modelling of scene activity
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/50—Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
    • G06F21/55—Detecting local intrusion or implementing counter-measures

Similar Documents

Publication Publication Date Title
Mahdavifar et al. Application of deep learning to cybersecurity: A survey
Javaid et al. A deep learning approach for network intrusion detection system
Liu et al. A multi-task based deep learning approach for intrusion detection
Ahmed et al. Deep learning for collective anomaly detection
Shirazi et al. Improved phishing detection algorithms using adversarial autoencoder synthesized data
Wanda RunMax: fake profile classification using novel nonlinear activation in CNN
Thilina et al. Intruder detection using deep learning and association rule mining
Borkar et al. Real or fake identity deception of social media accounts using recurrent neural network
Boragule et al. Learning to resolve uncertainties for large-scale face recognition
Shahane et al. A Survey on Classification Techniques to Determine Fake vs. Real Identities on Social Media Platforms
Zheng et al. Evolutionary ensemble generative adversarial learning for identifying terrorists among high-speed rail passengers
Aslam et al. Phish-identifier: Machine Learning based classification of Phishing attacks
Elghanuni et al. An overview of anomaly detection for online social network
Illanko et al. A big data deep learning approach for credit card fraud detection
Sharaff et al. Deep learning based sentiment analysis for phishing sms detection
Jayaswal et al. Detecting network intrusion through a deep learning approach
Al Balushi et al. The use of machine learning in digital forensics
Vaishnaw et al. Development of anti-phishing model for classification of phishing e-mail
Sengan et al. Improved LSTM-Based Anomaly Detection Model with Cybertwin Deep Learning to Detect Cutting-Edge Cybersecurity Attacks
Cascavilla et al. " When the Code becomes a Crime Scene" Towards Dark Web Threat Intelligence with Software Quality Metrics
Malgwi et al. Artificial neural network model for intrusion detection system
Gangan et al. Detection of Fake Twitter Accounts Using Ensemble Learning Model
Kraidia et al. A multimodal spam filtering system for multimedia messaging service
Jamdade et al. Hateful Speech Detection on Social Media using Deep Learning: An Overview
Kaiser Cognitive discriminative feature selection using variance fractal dimension for the detection of cyber attacks