Shagufta Mehnaz

FFTF_booklet_cropped Position PhD Student
Email smehnaz@purdue.edu
Office LWSN 2161#17
Website https://sites.google.com/view/shaguftamehnaz/

Research Interests & Expertise

Information Security & Privacy, Data Mining, and Machine Learning.

Select projects

Publications:

 

2017

  • Shagufta Mehnaz, Gowtham Bellala, Elisa Bertino, “A Secure Sum Protocol and Its Application to Privacy-preserving Multi-party Analytics“, Accepted to 22nd ACM Symposium on Access Control Models and Technologies (SACMAT), Indianapolis, IN, USA, 2017 .
  • Shagufta Mehnaz, Elisa Bertino, “Privacy-preserving Multi-party Analytics over Arbitrarily Partitioned Data“, Accepted to 10th IEEE International Conference on Cloud Computing (IEEE CLOUD), Honolulu, Hawaii, USA, 2017.
  • Shagufta Mehnaz, Elisa Bertino, “Ghostbuster: A Fine-grained Approach for Anomaly Detection in File System Accesses“. Proc. of 7th ACM Conference on Data and Applications Security and Privacy (CODASPY), Scottsdale, AZ, USA, 2017, pages 3-14. (*Best Paper Award, Acceptance rate: 16% [21/134])
  • Syed Rafiul Hussain, Shagufta Mehnaz, Shahriar Nirjon, Elisa Bertino, “SeamBlue: Seamless Bluetooth Low Energy Connection Migration for Unmodified IoT Devices“. Accepted to International Conference on Embedded Wireless Systems and Networks (EWSN), Uppsala, Sweden, 2017. (*Best Paper Award Nomination)
  • Syed Rafiul Hussain, Shagufta Mehnaz, Shahriar Nirjon, Elisa Bertino, “Poster: Seamless and Secure Bluetooth LE Connection Migration“. Accepted to 7th ACM Conference on Data and Applications Security and Privacy (CODASPY), Scottsdale, AZ, USA, 2017, pages 147-149.

 

2016

  • Shagufta Mehnaz, Elisa Bertino, “Building Robust Temporal User Profiles for Anomaly Detection in File System Accesses“, Proc. of IEEE International Conference on Privacy, Security and Trust (PST), Auckland, New Zealand, 2016.
  • Shagufta Mehnaz, Elisa Bertino, “Poster: iSONG – Intrusion into SOcial Network Groups“, Network and Distributed System Security (NDSS), San Diego, CA, USA, 2016.

 

 

Projects:

  • Privacy-preserving Multi-party Analytics
  • A Fine-grained Approach for Anomaly Detection in File System Accesses
  • SeamBlue: Seamless Bluetooth Low Energy Connection Migration for Unmodified IoT Devices