| 000 | 00895nam a22001937a 4500 | ||
|---|---|---|---|
| 999 |
_c44693 _d44693 |
||
| 040 | _cRiphah International University | ||
| 082 |
_a005.8 _bDUA |
||
| 100 | _aDuaa Shoukat (27401) | ||
| 245 | _aLeveraging deep learning driven threat detection mechanism for evolving multi-class DDoS attacks in enterprise networks | ||
| 260 |
_aIslamabad _b(unpublished) _c2020 |
||
| 300 |
_ax, 49 p. _b: ill. _c; 30 cm. _e+ CD |
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| 500 | _aSubmitted in fulfillment of the requirement for the degree of Master of Sciences in Information Security to the Faculty of Computing . | ||
| 500 | _aIncludes bibliographical references. | ||
| 500 | _aThesis supervisor: Syed Muhammad Sajjad | ||
| 502 | _aThesis (M.S)--Riphah International University, 2020 | ||
| 546 | _aEnglish | ||
| 650 |
_aInformation security _vGPU enabled DNNLSTM _vDeep neural networks _vAlgorithm structure _vLSTM structure _vRISE |
||
| 942 | _cTH | ||