MARC details
| 000 -LEADER |
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| fixed length control field |
03596ntm a2200373 i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
MY-KuUP |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20251125110723.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
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| fixed length control field |
t||||fr|||| 000 0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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| fixed length control field |
ta |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
230404t20222022my a|||fr|||| 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
THE0009556 (Local) |
| Qualifying information |
Hardback |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
UMP |
| Language of cataloging |
eng |
| Transcribing agency |
UMP |
| Description conventions |
rda |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
|---|
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
FKOM .S23 2022 r Thesis |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Sadat, S M Nazmus, |
| Relator term |
author. |
| 245 12 - TITLE STATEMENT |
|---|
| Title |
A reliable friendship mechanism for online social network exploiting pre and post-filtering approach / |
| Statement of responsibility, etc. |
S M Nazmus Sadat |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Kuantan, Pahang : |
| Name of producer, publisher, distributor, manufacturer |
UMP, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2022 |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Date of production, publication, distribution, manufacture, or copyright notice |
© 2022 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xiii, 156 pages : |
| Other physical details |
illustrations (some color) ; |
| Dimensions |
30 cm. + |
| Accompanying material |
1 CD-ROM |
| 336 ## - CONTENT TYPE |
|---|
| Source |
rdacontent |
| Content type term |
text |
| 336 ## - CONTENT TYPE |
|---|
| Source |
rdacontent |
| Content type term |
text |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
unmediated |
| Source |
rdamedia |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
computer |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
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| Source |
rdacarrier |
| Carrier type term |
volume |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
computer disc |
| Source |
rdacarrier |
| 347 ## - DIGITAL FILE CHARACTERISTICS |
|---|
| Source |
rda |
| File type |
text file |
| Encoding format |
PDF |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Faculty of Computing |
| 502 ## - DISSERTATION NOTE |
|---|
| Dissertation note |
Thesis (Doctor of Philosophy) -- Universiti Malaysia Pahang – 2022 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references |
| 520 3# - SUMMARY, ETC. |
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| Summary, etc. |
Online social networks are becoming increasingly popular, and their uses are growing day by day. It is an integral part of our daily lives and an incomparable medium to communicate with family, friends, and professionals in the interest of personal and professional purposes. Because of these features, the online social network contains a great deal of information that individuals can share with one another. Therefore, personal information is easily disclosed online and is misused by unreliable friends or associates without the users’ awareness. Unfortunately, certain functional issues have not been addressed regarding the automatic filtering approach in initiating friendships and users’ interactions with their online associates. Furthermore, a user cannot properly scrutinize the anomalous behaviour of other users over the time variant, which can clearly engage them in malpractices. In order to address these issues, the proposed study develops a reliable friendship mechanism for online social networks by utilizing automated two-phased (pre and post) filtering approaches to determine reliable friends and monitor their behavioral activities. In the prefiltering approach, a user can select a friend using a reliable mechanism, which consists of two choices: attribute-based and model-based. A machine learning (ML) enabled postfiltering approach is designed to determine suspicious and unwanted behavioral activities. Finally, the proposed mechanism incorporates pre and post-filtering approaches, resulting in a novel hybrid approach that can accomplish the purpose of the study. The empirical analysis shows some significant comparison data towards the hybrid approach (after incorporating pre and post-filtering approaches), where the users’ perceptions of the proposed approach exceed the other competing approaches significantly. As shown in the proportionate mean values, the proposed hybrid approach achieved the highest ratio of 90.64%, with pre-filtering accounting for 69.76% and post-filtering standing for 70.56%, while the existing approach had the lowest proportionate mean value at 47.60%. The outcomes of this study are expected to assist OSN providers, research communities, and ICT authorities in providing a standard solution for selecting reliable friends and avoiding their malpractices in OSN. |
| 610 20 - SUBJECT ADDED ENTRY--CORPORATE NAME |
|---|
| Corporate name or jurisdiction name as entry element |
Faculty of Computing |
| General subdivision |
Dissertations |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Universities and colleges |
| General subdivision |
Dissertations |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Theses |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Thesis |