Data-driven networking and security

Using AI/ML to solve networking/security problems

The last few years have witnessed the coming of age of data-driven paradigm in various aspects of computing (partly) empowered by advances in distributed system research (cloud computing, MapReduce, etc). In this work, we observe that the benefits can flow the opposite direction: the design and management of networked systems and security solutions can be improved by data-driven paradigm. To this end, we are exploring new data-driven paradigms that have the the potential to significantly achieve better performance and security. Our overarching vision is to create unified framework for DDN to tackle common challenges and create reusable design principles. We believe that by systematizing this paradigm as a broader community, we can unleash the unharnessed potential of DDN.

  1. USENIX Security
    Accurately Measuring Global Risk of Amplification Attacks using AmpMap
    Moon, Soo-Jin, Yin, Yucheng, Sharma, Rahul Anand, Yuan, Yifei, Spring, Jonathan M., and Sekar, Vyas
    In Proc. USENIX Security 2021
  2. IMC
    Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions
    Lin, Zinan, Jain, Alankar, Wang, Chen, Fanti, Giulia C., and Sekar, Vyas
    In IMC ’20: ACM Internet Measurement Conference, Virtual Event, USA, October 27-29, 2020 2020
  3. IoTDI
    Learning Context-Aware Policies from Multiple Smart Homes via Federated Multi-Task Learning
    Yu, Tianlong, Li, Tian, Sun, Yuqiong, Nanda, Susanta, Smith, Virginia, Sekar, Vyas, and Seshan, Srinivasan
    In Fifth IEEE/ACM International Conference on Internet-of-Things Design and Implementation, IoTDI 2020, Sydney, Australia, April 21-24, 2020 2020
  4. Sigcomm
    Contention-Aware Performance Prediction For Virtualized Network Functions
    Manousis, Antonis, Sharma, Rahul Anand, Sekar, Vyas, and Sherry, Justine
    In SIGCOMM ’20: Proceedings of the 2020 Annual conference of the ACM Special Interest Group on Data Communication on the applications, technologies, architectures, and protocols for computer communication, Virtual Event, USA, August 10-14, 2020 2020
  5. Comsnets
    Unleashing the Potential of Data-Driven Networking
    Jiang, Junchen, Sekar, Vyas, Stoica, Ion, and Zhang, Hui
    In Communication Systems and Networks - 9th International Conference, COMSNETS 2017, Bengaluru, India, January 4-8, 2017, Revised Selected Papers and Invited Papers 2017
  6. Hotnets
    Biases in Data-Driven Networking, and What to Do About Them
    Bartulovic, Mihovil, Jiang, Junchen, Balakrishnan, Sivaraman, Sekar, Vyas, and Sinopoli, Bruno
    In Proceedings of the 16th ACM Workshop on Hot Topics in Networks, Palo Alto, CA, USA, HotNets 2017, November 30 - December 01, 2017 2017
  7. Sigcomm
    CS2P: Improving Video Bitrate Selection and Adaptation with Data-Driven Throughput Prediction
    Sun, Yi, Yin, Xiaoqi, Jiang, Junchen, Sekar, Vyas, Lin, Fuyuan, Wang, Nanshu, Liu, Tao, and Sinopoli, Bruno
    In Proceedings of the ACM SIGCOMM 2016 Conference, Florianopolis, Brazil, August 22-26, 2016 2016
  8. Sigcomm
    Via: Improving Internet Telephony Call Quality Using Predictive Relay Selection
    Jiang, Junchen, Das, Rajdeep, Ananthanarayanan, Ganesh, Chou, Philip A., Padmanabhan, Venkat N., Sekar, Vyas, Dominique, Esbjorn, Goliszewski, Marcin, Kukoleca, Dalibor, Vafin, Renat, and Zhang, Hui
    In Proceedings of the ACM SIGCOMM 2016 Conference, Florianopolis, Brazil, August 22-26, 2016 2016
  9. Sigcomm
    A case for a coordinated internet video control plane
    Liu, Xi, Dobrian, Florin, Milner, Henry, Jiang, Junchen, Sekar, Vyas, Stoica, Ion, and Zhang, Hui
    In ACM SIGCOMM 2012 Conference, SIGCOMM ’12, Helsinki, Finland - August 13 - 17, 2012 2012