Enhancing resilience of network intrusion detection system against adversarial attacks using hybrid approach (Record no. 57035)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 00877nam a22001937a 4500 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | Riphah International University |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005 |
| Author Mark | ASM |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Authorship | AsmaTariq(S23A14G05017) |
| 245 ## - TITLE STATEMENT | |
| Title | Enhancing resilience of network intrusion detection system against adversarial attacks using hybrid approach |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Faisalabad |
| Name of publisher | (unpublished) |
| Date of publication | 2025 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | vii,74 p. |
| Illustrations | : ill. |
| Dimensions | ; 30 cm. |
| Accompanying material | +CD |
| 500 ## - GENERAL NOTE | |
| General note | Submitted in fulfillment of the requirements for the degree of Master of Computer Science in the Faculty of Computing. |
| 500 ## - GENERAL NOTE | |
| General note | Thesis supervisor: Dr. Erssa arif |
| 500 ## - GENERAL NOTE | |
| General note | Includes references |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (MS)--Riphah International University, 2025 |
| 546 ## - LANGUAGE NOTE | |
| Language note | English |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Subject | Computer science |
| Keywords | Data mining |
| -- | Network |
| -- | Cyber Attacks |
| -- | Artificial intelligence |
| -- | Detection system |
| -- | Deep learning |
| -- | Machine learning |
| -- | FSSH |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| item type | Thesis |
| Not for loan | Home library | Current library | Full call number | Barcode | Copy number | Koha item type |
|---|---|---|---|---|---|---|
| Faisalabad Campus | Faisalabad Campus | 005 ASM | 112321 | 1 | Thesis |