I am a Graduate Research Assistant at the Global Cybersecurity Institute (former Center for Cybersecurity) at Rochester Institute of Technology (RIT), working with Professor Dr. Matthew Wright. I have been working at the Center for Cybersecurity since Spring 2017. At present, I am pursuing Ph.D. in Computing & Information Sciences (CIS) at RIT. I received an MS (August, 2018) in Computing Security from the Department of Computing Security at RIT. I received Bachelors degree in Management Information Systems (MIS) in 2016 from University of Dhaka, Bangladesh.

My research interests include Traffic Analysis, Malware Analysis, Deep Learning, Continual Learning, and Adversarial Machine Learning.

Resume (PDF)»

MS Thesis: Using Packet Timing Information in Website Fingerprinting.

Publications - Journals and Conferences

• 2021 "GANDaLF: GAN for Data-Limited Fingerprinting, Se Eun Oh, Nate Mathews, Mohammad Saidur Rahman, Matthew Wright, and Nike Hopper, Privacy Enhancing Technologies Symposium (PETS), 2021. [Paper] [Code]


• 2021 "Mockingbird: Defending Against Deep-Learning-Based Website Fingerprinting Attacks with Adversarial Traces.", Mohammad Saidur Rahman, Mohsen Imani, Nate Mathews, and Matthew Wright, IEEE Transactions on Information Forensics and Security (TIFS), Volume 16, 2021. [Paper] [Code]
  Media:


• 2020 "Tik-Tok: The Utility of Packet Timing in Website Fingerprinting Attacks", Mohammad Saidur Rahman, Payap Sirinam, Nate Mathews, Kantha Girish Gangadhara, and Matthew Wright, Privacy Enhancing Technologies Symposium (PETS), 2020. [Paper] [Code]


• 2019 "Triplet Fingerprinting: More Practical and Portable Website Fingerprinting with N-shot Learning", Payap Sirinam, Nate Mathews, Mohammad Saidur Rahman, and Matthew Wright, ACM SIGSAC Conference on Computer and Communications Security (CCS), 2019. [Paper] [Code]

Posters

• CCS 2019 "Video Fingerprinting in Tor", Mohammad Saidur Rahman, Nate Mathews, and Matthew Wright, ACM SIGSAC Conference on Computer and Communications Security (CCS) 2019.
• CCS 2019 "Evaluating Security Metrics for Website Fingerprinting", Nate Mathews, Mohammad Saidur Rahman,and Matthew Wright, ACM SIGSAC Conference on Computer and Communications Security (CCS) 2019.
• CCS 2018 "Adversarial Traces for Website Fingerprinting Defense", Mohsen Imani, Mohammad Saidur Rahman,and Matthew Wright, ACM SIGSAC Conference on Computer and Communications Security (CCS) 2018.
• S&P 2018 "Using Packet Timing in Website Fingerprinting", Mohammad Saidur Rahman, Kantha Girish Gangadhara, Payap Sirinam, Matthew Wright, IEEE Symposium on Security & Privacy (S&P) 2018.
• S&P 2018 "Website Fingerprinting Attacks with Timing-based Features using Capsule Networks", Payap Sirinam, Mohammad Saidur Rahman, Kantha Girish Gangadhara, Matthew Wright, IEEE Symposium on Security & Privacy (S&P) 2018.

Academic Projects

• Fall'18 "Generating Adversarial Packets for Website Fingerprinting Defense", Mohammad Saidur Rahman, as part of the Course IMGS.684.01: Deep Learning for Vision.
• Spring'18 "Cybersecurity Report of Intel Corporation", Mohammad Saidur Rahman, as part of the Course CSEC.603.01: Enterprise Security .
• Fall'17 "Optimizing Smart Grid Aggregators and Measuring Degree of Privacy in a Distributed Trust Based Anonymous Aggregation System", Mohammad Saidur Rahman, as part of the Course CSEC.604.01: Cryptography & Authentication .
• Spring'17 "Evaluation of Input Data Representations of Website Fingerprinting Attack on Deep Learning Performance", Mohammad Saidur Rahman, as part of the Course CSEC.759.02: Internet Security & Privacy .
• Spring'17 "Evaluation of SVM and KNN in Website Fingerprinting Attack", Mohammad Saidur Rahman, as part of the Course CSCI.739.01: Machine Learning .
• Spring'17 "Password Hash Cracking Using Amazon Web Service (AWS) Elastic Compute Cloud (EC2)", Aadarsh Karumathil, Aniya Pandey, Christian Foster, Matt Johnson, Mohammad Saidur Rahman, Ryan Frank, Somasundaram MuthuKrishnan, Sukhpreet Singh, as part of the Course CSEC.759.01: Penetration Testing .
• Fall'16 "Implementation of DHCP Failover methodology within the Dominican Republic's small businesses & organizations information technology platform", Juan Gil, Mohammad Saidur Rahman, as part of the Course NSSA.605.01-02: System Administration .

Courses Completed

• CISC.820.01 Quantitative Foundation (Fall 2019)
• CSEC.741.01 Sensor and SCADA Security (Spring 2019)
• CISC.830.01 Cyberinfrastructure Foundations (Spring 2019)
• IMGS.684.01 Deep Learning for Vision (Fall 2018)
• CSEC.603.01 Enterprise Security (Spring 2018)
• CSEC.744.01 Network Security (Spring 2018)
• CSEC.604.01 Cryptography & Authentication (Fall 2017)
• CSEC.742.01/L1 Computer System Security (Fall 2017)
• CSEC.759.02 Internet Security & Privacy (Spring 2017)
• CSEC.759.01 Penetration Testing (Spring 2017)
• CSCI.739.01 Machine Learning (Spring 2017)
• NSSA.606.01/L1 Wired & Wireless Networking (Fall 2016)
• NSSA.605.01-02 System Administration (Fall 2016)

Certifications

• Couresera Mathematics for Machine Learning Specialization (April 2020 - Present)
• Mathematics for Machine Learning: Linear Algebra
• Mathematics for Machine Learning: Multivariate Calculus
• Mathematics for Machine Learning: PCA
• deeplearning.ai Deep Learning Specialization (June 2018 - Present)
• Neural Networks and Deep Learning
• Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
• Structuring Machine Learning Projects
• Convolutional Neural Networks
• Sequence Models

Awards & Grants

• CCS 2019 Travel grant received to attend ACM Conference on Computer and Communications Security (CCS) 2019.
• UpStat 2019 Bronze Medal, Category: Computations & Applications, 8th Annual Conference of the UPSTATE Chapters of the American Statistical Association.
• RIT Winner , 3-Minutes Thesis Presentation Competition 2018.
• RIT Winner , Graduate Research Showcase 2017.