Advanced Topics in Computer Networks (ATCN) 2019: Difference between revisions

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{{CourseDetails
{{CourseDetails
|credits=5 ECTS
|credits=5 ECTS
|module=M.Inf.1222: Seminar Telematik III ''-or-'' M.Inf.224: Seminar Computernetzewerke II (old Regulations) ''-or-'' 3.10: Advanced Topics in Internet Research (II)(ITIS); M.Inf.1223 (new Regulations)
|module=M.Inf.1222.Mp: Specialization Computer Networks Module Description
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|lecturer=[http://134.76.18.81/?q=people/prof-dr-xiaoming-fu Prof. Xiaoming Fu]; [http://134.76.18.81/?q=people/dr-yali-yuan Dr. Yali Yuan]
|ta=[]
|ta=[]
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* 2 May 2019
* 2 May 2019
**'''Improving our mental health'''
**'''Improving our mental health'''
***Rui Wang, Weichen Wang, Alex daSilva, Jeremy F. Huckins, William M. Kelley, Todd F. Heatherton, Andrew T. Campbell, [https://dl.acm.org/citation.cfm?id=3191775 Tracking Depression Dynamics in College Students Using Mobile Phone and Wearable Sensing], ACM UbiComp 2018. ('''Presented by ''')
***Rui Wang, Weichen Wang, Alex daSilva, Jeremy F. Huckins, William M. Kelley, Todd F. Heatherton, Andrew T. Campbell, [https://dl.acm.org/citation.cfm?id=3191775 Tracking Depression Dynamics in College Students Using Mobile Phone and Wearable Sensing], ACM UbiComp 2018. ('''Presented by Yuhan Wang''')




Line 42: Line 42:
* 9 May 2019
* 9 May 2019
**'''Improving our mental health'''
**'''Improving our mental health'''
***Shweta Ware, Chaoqun Yue, Reynaldo Morillo, Jin Lu, Chao Shang, Jayesh Kamath, Athanasios Bamis, Jinbo Bi, Alexander Russell, Bing Wang, [https://dl.acm.org/citation.cfm?id=3287073 Large-scale Automatic Depression Screening Using Meta-data from WiFi Infrastructure], ACM UbiComp 2018.  ('''Presented by ''')  
***Shweta Ware, Chaoqun Yue, Reynaldo Morillo, Jin Lu, Chao Shang, Jayesh Kamath, Athanasios Bamis, Jinbo Bi, Alexander Russell, Bing Wang, [https://dl.acm.org/citation.cfm?id=3287073 Large-scale Automatic Depression Screening Using Meta-data from WiFi Infrastructure], ACM UbiComp 2018.  ('''Presented by Cong Li''')  




Line 48: Line 48:
*16 May 2019
*16 May 2019
**'''Improving our mental health'''
**'''Improving our mental health'''
***Landu Jiang, Xinye Lin, Xue Liu, Chongguang Bi, Guoliang Xing, [https://dl.acm.org/citation.cfm?id=3161179 SafeDrive: Detecting Distracted Driving Behaviors Using Wrist-Worn Devices], ACM UbiComp 2018.  ('''Presented by ''')  
***Landu Jiang, Xinye Lin, Xue Liu, Chongguang Bi, Guoliang Xing, [https://dl.acm.org/citation.cfm?id=3161179 SafeDrive: Detecting Distracted Driving Behaviors Using Wrist-Worn Devices], ACM UbiComp 2018.  ('''Presented by Rezai, Masoud''')  




Line 54: Line 54:
* 23 May 2019
* 23 May 2019
**'''Dynamic Adaptive Streaming over QUIC'''
**'''Dynamic Adaptive Streaming over QUIC'''
***Perkins, Colin, and Jörg Ott, [https://csperkins.org/publications/2018/12/perkins2018rtp-quic.pdf Real-time Audio-Visual Media Transport over QUIC], EPIQ’18.  ('''Presented by ''')  
***Perkins, Colin, and Jörg Ott, [https://csperkins.org/publications/2018/12/perkins2018rtp-quic.pdf Real-time Audio-Visual Media Transport over QUIC], EPIQ’18.  ('''Presented by Ding-Ze Hu''')  




* 30 May 2019
***No Lecture


* 6 June 2019
**'''Dynamic Adaptive Streaming over QUIC'''
***Gadaleta, Matteo, et al., [https://ieeexplore.ieee.org/abstract/document/8048013 D-DASH: A Deep Q-Learning Framework for DASH Video Streaming], IEEE Transactions on Cognitive Communications and Networking 2017.  ('''Presented by ''')


* 6 June 2019 (Final topics release)
***No Lecture




* 13 June 2019
* 13 June 2019 '''Course time starts at 14:00pm'''
**'''Dynamic Adaptive Streaming over QUIC'''
**'''Deep Learning For Anomaly Detection '''
***Bastian Alt, Trevor Ballard, Ralf Steinmetz, Heinz Koeppl, Amr Rizk, [https://arxiv.org/abs/1901.05712 CBA: Contextual Quality Adaptation for Adaptive Bitrate Video Streaming], IEEE INFOCOM 2019. ('''Presented by ''')  
***Soteris Demetriou, Puneet Jain, Kyu-Han Kim, [https://ieeexplore.ieee.org/abstract/document/8486281 CoDrive: Improving Automobile Positioning via Collaborative Driving], IEEE INFOCOM 2018. ('''Presented by Yuhan Wang''')






* 20 June 2019
* 20 June 2019
**'''Cameras Everywhere'''
**'''Cameras Everywhere (Each student selects one topic for review and submit the review report to StudIP)'''
***Anhong Guo, Anuraag Jain, Shomiron Ghose, Gierad Laput, Chris Harrison, Jeffrey P. Bigham, [https://dl.acm.org/citation.cfm?id=3264921 Crowd-AI Camera Sensing in the Real World], IEEE UbiComp 2018.  ('''Presented by ''')  
***Georgios Kaiafas, Georgios Varisteas, Sofiane Lagraa, Radu State, Cu D Nguyen, Thorsten Ries, Mohamed Ourdane, [https://ieeexplore.ieee.org/abstract/document/8406295 Detecting malicious authentication events trustfully], IEEE IFIP 2018.  ('''Presented by Rezai, Masoud''')
***Anhong Guo, Anuraag Jain, Shomiron Ghose, Gierad Laput, Chris Harrison, Jeffrey P. Bigham, [https://dl.acm.org/citation.cfm?id=3264921 Crowd-AI Camera Sensing in the Real World], IEEE UbiComp 2018.  ('''Presented by Ding-Ze Hu''')  




* 27 June 2019
* 27 June 2019
**'''Cameras Everywhere'''
**'''Cameras Everywhere'''
***Erin Griffiths, Salah Assana, Kamin Whitehouse, [https://dl.acm.org/citation.cfm?id=3161198 Privacy-preserving Image Processing with Binocular Thermal Cameras], IEEE UbiComp 2018.  ('''Presented by ''')  
***Erin Griffiths, Salah Assana, Kamin Whitehouse, [https://dl.acm.org/citation.cfm?id=3161198 Privacy-preserving Image Processing with Binocular Thermal Cameras], IEEE UbiComp 2018.  ('''Presented by Cong Li''')  






* 4 July 2019
* 4 July 2019
**'''Deep Learning For Anomaly Detection'''
**'''Dynamic Adaptive Streaming over QUIC (Each student selects one topic for review and submit the review report to StudIP)'''  
***Georgios Kaiafas, Georgios Varisteas, Sofiane Lagraa, Radu State, Cu D Nguyen, Thorsten Ries, Mohamed Ourdane, [https://ieeexplore.ieee.org/abstract/document/8406295 Detecting malicious authentication events trustfully], IEEE IFIP 2018.  ('''Presented by ''')  
***Bastian Alt, Trevor Ballard, Ralf Steinmetz, Heinz Koeppl, Amr Rizk, [https://arxiv.org/abs/1901.05712 CBA: Contextual Quality Adaptation for Adaptive Bitrate Video Streaming], IEEE INFOCOM 2019.  ('''Presented by Adhatarao, Sripriya Srikant''')
***Gadaleta, Matteo, et al., [https://ieeexplore.ieee.org/abstract/document/8048013 D-DASH: A Deep Q-Learning Framework for DASH Video Streaming], IEEE Transactions on Cognitive Communications and Networking 2017.  ('''Presented by Adhatarao, Sripriya Srikant''')  






* 11 July 2019
* 11 July 2019 (Final slides submission)
**'''Deep Learning For Anomaly Detection'''
**'''Deep Learning For Anomaly Detection (Each student selects one topic for review and submit the review report to StudIP)'''
***Kun xie, Xiaocan Li, Xin Wang, Gaogang Xie, Jigang Wen, Jiannong Cao, Dafang Zhang, [https://dl.acm.org/citation.cfm?id=3180715 Fast Tensor Factorization for Accurate Internet Anomaly Detection], IEEE TON 2017.  ('''Presented by ''')
***Kun xie, Xiaocan Li, Xin Wang, Gaogang Xie, Jigang Wen, Jiannong Cao, Dafang Zhang, [https://dl.acm.org/citation.cfm?id=3180715 Fast Tensor Factorization for Accurate Internet Anomaly Detection], IEEE TON 2017.  ('''Presented by Fangxi Deng''')
***Yi Zhao, Meina Qiao, Haiyang Wang, Rui Zhang, Dan Wang, Ke Xu, Qi Tan [ TDFI: Two-stage Deep Learning Framework for Friendship Inference via Multi-source Information], IEEE INFOCOM 2019.  ('''Presented by Fangxi Deng''')


==Final Presentations & Report==
==Final Presentations & Report==
*Final Registration in '''FlexNow''': '''Now to 10th July 2019'''.


*Final Presentation:
*Final Presentation:
**Date: 18 July 2019
**Each for ~20 minutes, plus ~10 minutes Q&A
**Each for ~20 minutes, plus ~5 minutes Q&A ('''Please make sure that your presentation time is within 20 minutes''')




*Final Presentation Slots:
* 18 July 2019 '''(The course time is from 14:00pm to 18:00pm)'''
**'''Anomaly Detection and IoT Security'''
***Subhendu Khatuya, Niloy Ganguly, Jayanta Basak, Madhumita Bharde, Bivas Mitra, [https://ieeexplore.ieee.org/abstract/document/8486257 ADELE: Anomaly Detection from Event Log Empiricism], INFOCOM 2018.  ('''Presented by Rezai, Masoud''')
***Dang Tu Nguyen, Chengyu Song, Zhiyun Qian, Srikanth V. Krishnamurthy, Edward J. M. Colbert, Patrick McDaniel, [https://dl.acm.org/citation.cfm?id=3281440 IotSan: fortifying the safety of IoT systems], CoNEXT 2018.  ('''Presented by Yuhan Wang''')
***Batiste Le Bars, Argyris Kalogeratos, [https://arxiv.org/abs/1902.04521 A Probabilistic Framework to Node-level Anomaly Detection in Communication Networks], INFOCOM 2019.  ('''Presented by Cong Li''')
**'''Wireless Networks'''
***Ben Zhang, Xin Jin, Sylvia Ratnasamy, John Wawrzynek, Edward A. Lee, [https://dl.acm.org/citation.cfm?id=3230554 AWStream: adaptive wide-area streaming analytics], SIGCOMM 2018.  ('''Presented by Adhatarao, Sripriya Srikant''')
***Yanyuan Qin, Shuai Hao, K. R. Pattipati, Feng Qian, Subhabrata Sen, Bing Wang, Chaoqun Yue, [https://dl.acm.org/citation.cfm?id=3281439 ABR streaming of VBR-encoded videos: characterization, challenges, and solutions], CoNEXT 2018 (Best paper award).  ('''Presented by Fangxi Deng''')
***Li Li, Ke Xu, Tong Li, Kai Zheng, Chunyi Peng, Dan Wang, Xiangxiang Wang, Meng Shen, Rashid Mijumbi, [https://dl.acm.org/citation.cfm?id=3230556 A measurement study on multi-path TCP with multiple cellular carriers on high speed rails], IEEE SIGCOMM 2018.  ('''Presented by Ding-Ze Hu''')


*Final Presentation Slots:




*Final Report:
*Final Report:
**Essay (5~6 pages, double columns, IEEE format)
**Essay ( 5-6 pages, double columns, IEEE format)
**Due by 23:59pm 30 September 2019
**Due by 23:59pm 30 August 2019


[[Category:Courses]]
[[Category:Courses]]

Latest revision as of 13:44, 25 July 2019

Details

Workload/ECTS Credits: 5 ECTS
Module: M.Inf.1222.Mp: Specialization Computer Networks Module Description
Lecturer: Prof. Xiaoming Fu; Dr. Yali Yuan
Teaching assistant: []
Time: Thu. 14:00-16:00
Place: IfI 0.101
UniVZ link


Course Overview

The purpose of this seminar is to discuss some advanced topics in computer networks. This course is a theory-oriented research seminar (5 ECTS, 2 SWS), held on a weekly base and comprising the following components:

  • Weekly Presentation + Weekly Paper Reading and Discussion
  • Final Presentation
  • Final Report

The material in the seminar is mainly drawn from the research literature in top journals/conferences, like ToN,TMC, TPDS, SIGCOMM, SIGMETRICS, INFOCOM, MOBICOM, MOBIHOC, WWW, CoNEXT.

Requirements

  • Each participant is required to read the assigned paper before the seminar and prepare the review of the paper, which should include the following parts:
    • Summary of the paper
    • Pros AND cons of the paper (your conclusion)
    • NOTE!! Every participant should provide the paper review BEFORE the seminar (23:59 Wednesday). => the review form is available at [Paper_Review_Form_ATCN_WS201112.doc]
  • During each weekly seminar, one participant is assigned for presenting the paper (each presentation for ~30 minutes). And the list of pros and cons is discussed by all the participants.
  • In the middle of the semester, everyone is requested to pick a topic and prepare:
    • Final report: Essay (5~6 pages, double columns, IEEE format) for your chosen research topic, which contains a comprehensive literature survey + a detailed discussion of some key enabling technologies
    • Final presentation: each presentation for ~20 minutes, plus ~5 minutes Q&A

Schedule

  • 18 April 2019
    • Informational Meeting






  • 30 May 2019
      • No Lecture


  • 6 June 2019 (Final topics release)
      • No Lecture



  • 20 June 2019
    • Cameras Everywhere (Each student selects one topic for review and submit the review report to StudIP)




  • 11 July 2019 (Final slides submission)
    • Deep Learning For Anomaly Detection (Each student selects one topic for review and submit the review report to StudIP)
      • Kun xie, Xiaocan Li, Xin Wang, Gaogang Xie, Jigang Wen, Jiannong Cao, Dafang Zhang, Fast Tensor Factorization for Accurate Internet Anomaly Detection, IEEE TON 2017. (Presented by Fangxi Deng)
      • Yi Zhao, Meina Qiao, Haiyang Wang, Rui Zhang, Dan Wang, Ke Xu, Qi Tan [ TDFI: Two-stage Deep Learning Framework for Friendship Inference via Multi-source Information], IEEE INFOCOM 2019. (Presented by Fangxi Deng)

Final Presentations & Report

  • Final Registration in FlexNow: Now to 10th July 2019.


  • Final Presentation:
    • Each for ~20 minutes, plus ~10 minutes Q&A



  • Final Report:
    • Essay ( 5-6 pages, double columns, IEEE format)
    • Due by 23:59pm 30 August 2019
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