[ Saidur Rahman's CV @RIT ]

	Center for Cybersecurity
	Rochester Institute of Technology	`Saidur.Rahman [at] mail.rit.edu`
	20 Lomb Memorial Dr,	`https://www.rahmanmsaidur.com`
	Rochester, NY 14623.	`https://people.rit.edu/mr6564/`

Security & Privacy, Deep Learning, and Adversarial Machine Learning.

Programming: Python, C, MATLAB, C++ (Basic), Java (Basic)
Machine Learning & Deep Learning: Keras, TensorFlow, PyTorch
Security Tools: CobaltStrike, Armitage, Metasploit-Framework, Nmap, Netcat, Cryptcat, OpenVas, Nessus, Snort
Networking: TCP/IP, UDP, VLAN, ACL, Firewalls, IDS
Operating Systems: Windows, Ubuntu, Kali Linux, CentOS, Red Hat Linux, Linux Mint, XUbuntu
Non-Technical: Leadership, Team Work, Project Management, Strategic Planning

Ph.D.	Computing & Information Sciences, Rochester Institute of Technology	August, 2018 - Continuous

M.Sc.	Computing Security, Rochester Institute of Technology	August, 2016 - August, 2018
	Thesis: Using Packet Timing Information in Website Fingerprinting

Bachelor	Management Information Systems, University of Dhaka	January, 2012 - December, 2015

	Graduate Research Assistant, Center for Cybersecurity, Rochester Institute of Technology	January, 2017 - Current

	Graduate Teaching Assistant, Department of Computing Security, Rochester Institute of Technology	Spring 2020, 2019, & 2018

	Research Assistant, United Nations Development Programme (UNDP), Dhaka, Bangladesh	January, 2016 - March, 2016

arXiv

Mockingbird: Defending Against Deep-Learning-Based Website Fingerprinting Attacks with Adversarial Traces
Mohsen Imani*, Mohammad Saidur Rahman*, Nate Mathews, and Matthew Wright
* Authors contribute equally

PETS 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

ACM CCS 2019

Triplet Fingerprinting: More Practical and Portable Website Fingerprinting with N-shot Learning
Payap Sirinam, Nate Mathews, Mohammad Saidur Rahman, and Matthew Wright

POSTER: Video Fingerprinting in Tor
Mohammad Saidur Rahman, Nate Mathews, and Matthew Wright

POSTER: Evaluating Security Metrics for Website Fingerprinting
Nate Mathews, Mohammad Saidur Rahman, and Matthew Wright

ACM CCS 2018

POSTER: Adversarial Traces for Website Fingerprinting Defense
Mohsen Imani, Mohammad Saidur Rahman, and Matthew Wright

IEEE S&P (Oakland) 2018

POSTER: Using Packet Timing in Website Fingerprinting
Mohammad Saidur Rahman, Kantha Girish Gangadhara, Payap Sirinam, Matthew Wright

POSTER: Website Fingerprinting Attacks with Timing-based Features using Capsule Networks
Payap Sirinam, Mohammad Saidur Rahman, Kantha Girish Gangadhara, Matthew Wright

"Generating Adversarial Packets for Website Fingerprinting Defense", Mohammad Saidur Rahman, as part of the Course IMGS.684.01: Deep Learning for Vision.
"Cybersecurity Report of Intel Corporation", Mohammad Saidur Rahman, as part of the Course CSEC.603.01: Enterprise Security.
"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 .
"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.
"Evaluation of SVM and KNN in Website Fingerprinting Attack", Mohammad Saidur Rahman, as part of the Course CSCI.739.01: Machine Learning.
"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.
"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.

CCS 2019 Travel Grant Travel grant received to attend ACM Conference on Computer and Communications Security (CCS) 2019.
Bronze Medal Winner, Category: Computations & Applications, 8th Annual Conference of the UPSTATE Chapters of the American Statistical Association.
1st Place, "3 Minute Thesis Presentation Competition 2018", Rochester Institute of Technology.
Winning Award, "Graduate Research Showcase 2017", Rochester Institute of Technology.

Available upon request.