| 000 | 00913nam a22002057a 4500 | ||
|---|---|---|---|
| 999 |
_c56485 _d56485 |
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| 040 | _cRiphah International University | ||
| 082 |
_a004 _bMOB |
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| 100 | _aMobin Umer (CMS# 406529) | ||
| 245 | _aAnomaly detection in IPv4/IPv6 networks using modern ANN classifiers | ||
| 260 |
_aLahore _b(unpublished) _c2021 |
||
| 300 |
_a69 p. _b: ill. _c; 29.4 cm. _e+CD |
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| 500 | _aIncludes bibliographical references | ||
| 500 | _aA dissertation submitted in the partial fulfillment of the requirements for the degree of Master of Science in Computer Science. | ||
| 500 | _aThesis supervisor: Dr. Muhammad Jasim Saeed | ||
| 502 | _aThesis (MS CS)--Riphah International University, 2021 | ||
| 502 | _aRegistration no. | ||
| 546 | _aEnglish | ||
| 650 |
_aComputer- Science _aAnomaly detection _vSupport vector machine _vMultilayer perceptron _vMachine learning _vRandom forest _vDecision tree _vMS-CS _vRSCI |
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| 942 | _cTH | ||