Personal Website

About me

Hi, I am a Phd student at Northeastern University starting Fall 2023. My research interest mainly comprises of network and system security.

Apart from academic activities, I always strive to add value and memories to my life. I love to travel and prefer the outdoors but I also find myself spending hours on a good book or a video-game with an enticing narrative.

What i'm doing

Web design

The most modern and high-quality design made at a professional level.
Web development

High-quality development of sites at the professional level.
Mobile apps

Professional development of applications for iOS and Android.
Photography

I make high-quality photos of any category at a professional level.

Resume

Education

Bangladesh University of Engineering and Technology
February 2017 - May 2022
B.Sc in Computer Science and Engineering (CSE)

Work Experience

Research Assistant (RA)
June 2022 - February 2023
During my tenure as an RA I worked with my supervisor Prof. Md. Shohrab Hossain on innovating ML models that can detect malware android applications from the sequential attributes of their corresponding system calls. Additionally, we also worked on developing a federation among cloud fog service providers.

My Skills

C/C++
90%
Python
85%
Java
80%
Git, Docker, Latex, Bash, SQL
80%
HTML/CSS, JS, PHP
70%

Publications

Provisioning Fog Services to 3GPP Subscribers: Authentication and Application Mobility
IEEE ICC 2022
This work focuses on identifying and solving authentication and application mobility issues generated from a federation among 3GPP MEC (home domain) and fog (foreign domain) by utilizing a transparent proxy.

3GPP Edge‐Fog Federation:Transparent 3rd‐Party Authentication and Application Mobility
Computer Networks Journal
(under review) This work proposes two proxies that solves authentication and application mobility issues generated from a federation among 3GPP MEC and fog irrespective of their domains.

Research

Malware Detection in Android Based on System Call Patterns

The project proposes a simple and efficient random forest classifier that can identify malware applications on android systems by analysing the sequential attributes of their system calls.

Cloud-Fog Federation: Third-party Authentication and Application Mobility

The goal of this project was to develop a standard-compliant, secure and transparent proxy that provides federation among cloud fog service providers using multiple protocols, allowing a user to access multiple clouds and fogs by one account. It also transfers application state between different service providers to support user mobility.

3GPP Edge‐Fog Federation:Transparent 3rd‐Party Authentication and Application Mobility

The research project is focused on developing transparent proxies that streamlines the process of authentication and application mobility among 3GPP MEC and fog service providers.