# 碩論 (2021/6/23) 第21次 > [碩論 (2021/1/6) 第1次](https://hackmd.io/lQUIFZCdSHOLwzvwI9WsOw?both) > [碩論 (2021/1/20) 第2次](https://hackmd.io/IbJDXXacSaetaHRpinuqpA?both) > [碩論 (2021/1/27) 第3次](https://hackmd.io/mzur4HIZRF66sjkMear1rQ) > [碩論 (2021/2/3) 第4次](https://hackmd.io/HBvT3a8tS9CxdUcCcQVkqg) > [碩論 (2021/2/24) 第5次](https://hackmd.io/MvviEMO_TyG1Xqd5sQTSPw) > [碩論 (2021/3/3) 第6次](https://hackmd.io/X4KKgcnnQMieS-dvl1lYyA) > [碩論 (2021/3/17) 第7次](https://hackmd.io/r2EZTug-Q3OHScgs0eMi5w) > [碩論 (2021/3/25) 第8次](https://hackmd.io/uxTGxw7LQTGkd2CU1gUIAQ) > [碩論 (2021/3/31) 第9次](https://hackmd.io/1fXLcGDBSC2txhP51G7nAQ) > [碩論 (2021/4/7) 第10次](https://hackmd.io/ipFw-4TxRd2xTbNQ6-DfMA) > [碩論 (2021/4/14) 第11次](https://hackmd.io/KA_dhLtxT1C3dSmKeXhKhg) > [碩論 (2021/4/21) 第12次](https://hackmd.io/B7WYI8G1TnaPpYYKmuVWzw) > [碩論 (2021/4/28) 第13次](https://hackmd.io/tPyYVp9MQ32MOA7secTYiw) > [碩論 (2021/5/5) 第14次](https://hackmd.io/QqtAESfUTpCyMKwFa6GwHg) > [碩論 (2021/5/12) 第15次](https://hackmd.io/-5rUjPcoQJeirb-chas7MQ) > [碩論 (2021/5/19) 第16次](https://hackmd.io/f3l9hmcLTqGItRMu9QGAPw) > [碩論 (2021/5/26) 第17次](https://hackmd.io/9OAqe43tQOur8J8-deBMZw) > [碩論 (2021/6/2) 第18次](https://hackmd.io/xDj3opLhSg2P5K6MpYJU6g) > [碩論 (2021/6/9) 第19次](https://hackmd.io/eJW3aYKCQ5yDAJWwgIcnKw) > [碩論 (2021/6/16) 第20次](https://hackmd.io/5CzMS6SDQECAf7RdywY9jw) > [碩論 (2021/6/23) 第21次](https://hackmd.io/qk94f4AeQjiB4WIXhBR0cQ) ###### tags: `碩論地獄` :::info [TOC] ::: ## Yen aka 心好累,好想畢業 ### 雲環境中基於虛擬機自我檢查偵測DKOM-Rootkit隱藏行為之研究 > 英文題目 : Using Virtual Machine Introspection to Detect Hidden Behavior of DKOM-Rootkit in Cloud Environment 1. (Yin) 2. (古) 3. (Yen) 4. (Cen) 5. (槍熊) 6. (Riz) 7. (晁誌) 8. (祐綸) 9. (韋德) 10. (晨偉) 11. (宗琪) 12. (議員) 13. (日日) * time * Intro - Introduction : * Motivation & Goals : * Related Work : * System : * Experiment : * Conclusions : * Total : * 老師 --- ## Gu aka 車載詩人【Poet of The Car】 ### 車載網路於異構邊緣雲中基於身分隱私之協作式下載機制 > 英文題目:A Cooperative Download Mechanism Based on Identity Privacy for VANET in Heterogeneous Edge-Cloud Environment 1. (Yin) 2. (古) 3. (Yen) 4. (Cen) 5. (槍熊) 6. (Riz) 7. (晁誌) 8. (祐綸) 9. (韋德) 10. (晨偉) 11. (宗琪) 12. (議員) 13. (日日) * time * Intro - Introduction : * Motivation & Goals : * Related Work : * System : * Experiment : * Conclusions : * Total : * 老師 --- ## Yin aka 戒酒了拉 ### 基於卷積神經網路與梯度提升演算法於網路惡意加密流量偵測之研究 > 英文題目:Malicious and Encrypted Networks Traffic Detection Based on Convolutional Neural Network-Based and Gradient Boosting Algorithm 1. (Yin) 2. (古) 3. (Yen) 4. (Cen) 5. (槍熊) 6. (Riz) 7. (晁誌) 8. (祐綸) 9. (韋德) 10. (晨偉) 11. (宗琪) 12. (議員) 13. (日日) * time * Intro - Introduction : * Motivation & Goals : * Related Work : * System : * Experiment : * Conclusions : * Total : * 老師 --- ## Cen aka yoyo球 ### 5G網路中針對分散式舒服切片移動攻擊之防禦 > 英文題目: TODO 1. (Yin) 2. (古) 3. (Yen) 4. (Cen) 5. (槍熊) 6. (Riz) 7. (晁誌) 8. (祐綸) 9. (韋德) 10. (晨偉) 11. (宗琪) 12. (議員) 13. (日日) * time * Intro - Introduction : * Motivation & Goals : * Related Work : * System : * Experiment : * Conclusions : * Total : * 老師 * 把open5gs會當掉 (遭遇的困難) 怎樣怎樣的 寫成幾頁 呈現出來 * 把你每次的 圖 都畫好 無錯誤的 大小寫 (??? --- ## Gun Bear (槍熊) ![](https://i.imgur.com/isxDXMY.jpg) ### 基於SDN網路之Slow HTTP服務阻斷攻擊偵測 > 英文題目: Slow HTTP DoS Attack Detection in SDN Network 1. (Yin) 2. (古) 3. (Yen) 4. (Cen) 5. (槍熊) 6. (Riz) 7. (晁誌) 8. (祐綸) 9. (韋德) 10. (晨偉) 11. (宗琪) 12. (議員) 13. (日日) * time * Intro - Introduction : * Motivation & Goals : * Related Work : * System : * Experiment : * Conclusions : * Total : * 老師 * --- ## Riz ### In-Network traffic classification using programmable data plane 1. (Yin) 2. (古) what is the first problem described means 3. (Yen) p30 what is the communication function mean? 4. (Cen) 5. (槍熊) 6. (Riz) 7. (晁誌) Is it necessary to pass through at least 4 p4 switch? Since the target may only need to pass one switch 8. (祐綸) where is your dataset from? 9. (韋德) Did you analyze the misclassified packets of netflix? 10. (晨偉) 11. (宗琪) You said, when the number of layers is less than the number of switches, a switch may have two or more layers. So, how many layers in a switch could still have the acceptable performance at most? 12. (議員) 13. (日日) * time * Intro - Introduction : 6m6s * Motivation & Goals : 2m21s * Related Work : 3m41s * System : 10m31s * Experiment : 3m17s * Conclusions : * Total : 25m56s * 老師 *. p38 plz, improve this rate --- ## Template 1. (Yin) 2. (古) 3. (Yen) 4. (Cen) 5. (槍熊) 6. (Riz) 7. (晁誌) 8. (祐綸) 9. (韋德) 10. (晨偉) 11. (宗琪) 12. (議員) 13. (日日) * time * Intro - Introduction : * Motivation & Goals : * Related Work : * System : * Experiment : * Conclusions : * Total : * 老師 ## template * time * Intro - Introduction : * Background : * Related Work : * Motivation & Goals & comparison table: * Workflow - System : * Experiment Plan : * Conclusions : * Total :