30 citations · 125 across the 21 of their papers we have counts for
6 papers · 1 filter
Adversarial Attacks to Machine Learning-Based Smart Healthcare Systems
AKM Iqtidar Newaz, Nur Imtiazul Haque, Amit Kumar Sikder +2
The increasing availability of healthcare data requires accurate analysis of disease diagnosis, progression, and realtime monitoring to provide improved treatments to the patients.…
Machine Learning in Generation, Detection, and Mitigation of Cyberattacks in Smart Grid: A Survey
Nur Imtiazul Haque, Md Hasan Shahriar, Md Golam Dastgir +4
Smart grid (SG) is a complex cyber-physical system that utilizes modern cyber and physical equipment to run at an optimal operating point. Cyberattacks are the principal threats co…
Smart Weather Forecasting Using Machine Learning:A Case Study in Tennessee
A H M Jakaria, Md Mosharaf Hossain, Mohammad Ashiqur Rahman
Traditionally, weather predictions are performed with the help of large complex models of physics, which utilize different atmospheric conditions over a long period of time. These…
Automated Trajectory Synthesis for UAV Swarms Based on Resilient Data Collection Objectives
A H M Jakaria, Mohammad Ashiqur Rahman, Matthew Anderson +1
The use of Unmanned Aerial Vehicles (UAVs) for collecting data from remotely located sensor systems is emerging. The data can be time-sensitive and require to be transmitted to a d…
G-IDS: Generative Adversarial Networks Assisted Intrusion Detection System
Md Hasan Shahriar, Nur Imtiazul Haque, Mohammad Ashiqur Rahman +1
The boundaries of cyber-physical systems (CPS) and the Internet of Things (IoT) are converging together day by day to introduce a common platform on hybrid systems. Moreover, the c…
On the Feasibility of Sybil Attacks in Shard-Based Permissionless Blockchains
Tayebeh Rajab, Mohammad Hossein Manshaei, Mohammad Dakhilalian +2
Bitcoin's single leader consensus protocol (Nakamoto consensus) suffers from significant transaction throughput and network scalability issues due to the computational requirements…