Anomaly detection in IPv4/IPv6 networks using modern ANN classifiers (Record no. 56485)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 00913nam a22002057a 4500 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | Riphah International University |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 004 |
| Author Mark | MOB |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Authorship | Mobin Umer (CMS# 406529) |
| 245 ## - TITLE STATEMENT | |
| Title | Anomaly detection in IPv4/IPv6 networks using modern ANN classifiers |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Lahore |
| Name of publisher | (unpublished) |
| Date of publication | 2021 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 69 p. |
| Illustrations | : ill. |
| Dimensions | ; 29.4 cm. |
| Accompanying material | +CD |
| 500 ## - GENERAL NOTE | |
| General note | Includes bibliographical references |
| 500 ## - GENERAL NOTE | |
| General note | A dissertation submitted in the partial fulfillment of the requirements for the degree of Master of Science in Computer Science. |
| 500 ## - GENERAL NOTE | |
| General note | Thesis supervisor: Dr. Muhammad Jasim Saeed |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (MS CS)--Riphah International University, 2021 |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Registration no. |
| 546 ## - LANGUAGE NOTE | |
| Language note | English |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Subject | Computer- Science |
| -- | Anomaly detection |
| Keywords | Support vector machine |
| -- | Multilayer perceptron |
| -- | Machine learning |
| -- | Random forest |
| -- | Decision tree |
| -- | MS-CS |
| -- | RSCI |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| item type | Thesis |
| Not for loan | Home library | Current library | Full call number | Barcode | Koha item type |
|---|---|---|---|---|---|
| NOT for LOAN | Lahore Raiwind Campus | Lahore Raiwind Campus | 004 MOB | 58659 | Thesis |