A Novel Approach To Prevent Personal Data On A Social Network Using Graph Theory

被引：2

作者：

Patil, Neha A. ^{[1
]}

Manekar, Amitkumar S. ^{[1
]}

机构：

[1] Sandip Inst Technol & Res Ctr, Dept Comp, Nasik, India

来源：

1ST INTERNATIONAL CONFERENCE ON COMPUTING COMMUNICATION CONTROL AND AUTOMATION ICCUBEA 2015 | 2015年

关键词：

Social network analysis; Data mining; Network privacy rules; Graph theory; NLP;

D O I：

10.1109/ICCUBEA.2015.41

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

online social network such as Twitter, LinkedIn are widely used now a days. In these people lists their personal information and favorite activities which meant to be secure. Private information leakage becomes key issues with social network users. Apart from this user are hampered with various types of malicious data attacks which feel users very embarrassing in a real life. Also manual filtering for such a large data is not feasible at all. So various users stay away from social network sites to avoid such activities the social network architecture should be improved so that normal user can take a relief. Proposed work is an automatic prevention mechanism for such a heavy data using NLP and data mining approach. Objective of work is creation of real time rule sets to filter data using graph theory.

引用

页码：186 / 189

页数：4

共 50 条

[41] A novel automated fault identification approach in computer networks based on graph theory
Yu, YJ
Liu, Q
Tan, LS
Xiao, DB
2003 INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY, VOL 1 AND 2, PROCEEDINGS, 2003, : 167 - 173
[42] Learning Styles Prediction Using Social Network Analysis and Data Mining Algorithms
Benabdelouahab, Soukaina
El Bouhdidi, Jaber
El Younoussi, Yacine
de Gea, Juan M. Carrillo
EMERGING TRENDS IN INTELLIGENT SYSTEMS & NETWORK SECURITY, 2023, 147 : 315 - 322
[43] An Efficient Data Enrichment Scheme for Fraud Detection Using Social Network Analysis
Jamshidi, Soheil
Hashemi, Mahmoud Reza
2012 SIXTH INTERNATIONAL SYMPOSIUM ON TELECOMMUNICATIONS (IST), 2012, : 1082 - 1087
[44] Data Mining Approach for Anomaly Detection in Social Network Analysis
Sudha, M. Swarna
Priya, K. Arun
Lakshmi, A. Kanaka
Kruthika, A.
Priya, D. Lakshmi
Valarmathi, K.
PROCEEDINGS OF THE 2018 SECOND INTERNATIONAL CONFERENCE ON INVENTIVE COMMUNICATION AND COMPUTATIONAL TECHNOLOGIES (ICICCT), 2018, : 1862 - 1866
[45] A Hybrid Approach to Solve OPP Problem Using Graph Theory and AHP
Ghosh, Pronob K.
Chatterjee, Soumesh
Roy, Biman Kumar Saha
2017 7TH INTERNATIONAL CONFERENCE ON POWER SYSTEMS (ICPS), 2017, : 478 - 484
[46] Energy Balanced Heuristic Approach for Path Selection using Graph Theory
Mahajan, Shilpa
Malhotra, Jyoteesh
Sharma, Sandeep
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES, ICICT 2014, 2015, 46 : 101 - 108
[47] Gender Differences in Social Support Received by Informal Caregivers: A Personal Network Analysis Approach
Nieves Rodriguez-Madrid, Maria
del Rio-Lozano, Maria
Fernandez-Pena, Rosario
Jimenez-Pernett, Jaime
Garcia-Mochon, Leticia
Lupianez-Castillo, Amparo
del Mar Garcia-Calvente, Maria
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2019, 16 (01):
[48] Using Social Network Theory to Elucidate the Impact of Diversity on the Social Processes in Design
Torres, David
Zoltowski, Carla B.
Buzzanell, Patrice M.
Feister, Megan Kenny
Oakes, William C.
FRONTIERS IN EDUCATION CONFERENCE (FIE), 2015, 2015, : 1154 - 1158
[49] Power System Connectivity Monitoring Using a Graph Theory Network Flow Algorithm
Werho, Trevor
Vittal, Vijay
Kolluri, Sharma
Wong, Sze Mei
IEEE TRANSACTIONS ON POWER SYSTEMS, 2016, 31 (06) : 4945 - 4952
[50] Assessment of process networks using graph and network theory based key figures
Kreimeyer, Matthias
Eichinger, Markus
Lindemann, Udo
14TH EUROPEAN CONCURRENT ENGINEERING CONFERENCE 2007/4TH FUTURE BUSINESS TECHNOLOGY CONFERENCE, 2007, : 13 - 19

← 1 2 3 4 5 →