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Citations since 2016
14 Research Items
I am a Ph.D. candidate at the department of Computational Modeling and Simulation Engineering at Old Dominion University. My research area includes but not limited to Cyber-Physical Systems security, Machine Learning, Blockchain, cloud-computing, security and resilience analytics, etc.
Financial sectors are lucrative cyber-attack targets because of their immediate financial gain. As a result, financial institutions face challenges in developing systems that can automatically identify security breaches and separate fraudulent transactions from legitimate transactions. Today, organizations widely use machine learning techniques to...
Cyber-Physical Systems (CPSs) are complex systems that evolve from the integrations of components dealing with real-time computations and physical processes, along with networking. CPSs often incorporate approaches merging from different scientific fields such as embedded systems, control systems, operational technology, information technology syst...
Today energy delivery systems (EDS) face challenges in dealing with cyberattacks that originate by exploiting the communication network assets. Traditional power systems are highly complex and heterogeneous. These systems focus on reliability, availability, and continuous performance and, thus, not designed to handle security issues. Network admini...
Cyber-Physical Systems (CPS) often involve trans-disciplinary approaches, merging theories of different scientific domains, such as cybernetics, control systems, and process design. Advances in CPS expand the horizons of these critical systems and at the same time, bring the concerns regarding safety, security, and resiliency. To minimize the opera...
Cyber-physical systems (CPS) play a critical role in diversified fields. The integration of computation and physical processes makes CPS a vital part in different industries, e.g., autonomous automobile systems, smart grid systems, healthcare systems, communication systems, etc. The CPS often involves transdisciplinary approaches, merging theory of...
In this paper, we analyze the cyber resilience for the energy delivery systems (EDS) using critical system functionality (CSF). Some research works focus on identification of critical cyber components and services to address the resiliency for the EDS. Analysis based on the devices and services excluding the system behavior during an adverse event...
Cyber‐physical systems (CPSs) play a critical role in diversified fields. The integration of computation and physical processes makes CPS a vital part in different industries, e.g. autonomous automobile systems, smart grid systems, healthcare systems, communication systems, etc. The CPS often involves transdisciplinary approaches, merging theory of...
In this work, we use a subjective approach to compute cyber resilience metrics for industrial control systems. We utilize the extended form of the R4 resilience framework and span the metrics over physical, technical, and organizational domains of resilience. We develop a qualitative cyber resilience assessment tool using the framework and a subjec...
This poster discusses the necessity for developing the cyber resilience metrics for the bulk power system. It was presented in 2018 CREDC Industry Workshop, MIT, Cambridge, Massachusetts. It reflects our current works and future directions.
In this paper, we model the underlying factors that cause the spread of West African Ebola virus disease (EVD) to assist in the long-term estimation of the disastrous consequences for creating future awareness. The paper works on two different system dynamics models of the epidemic based on the extended form of SIR (Susceptible, Infectious, Recover...
In this paper, we have analyzed the resilience property of industrial control systems (ICS) in the events of cyberattacks using subjective approach. We are proposing a comprehensive cyber resilience framework for the ICS by decomposing the resilience metric into a hierarchy of several submetrics. These metrics form a tree structure that has the pot...
Critical infrastructure such as a Bulk Power System (BPS) should have some quantifiable measure of resiliency and definite rule-sets to achieve a certain resilience value. Industrial Control System (ICS) and Supervisory Control and Data Acquisition (SCADA) networks are integral parts of BPS. BPS or ICS are themselves not vulnerable because of their...
The paper focuses on the critical node identification which can be used to rank the nodes belong to the corporate and control system network of Bulk Power System (BPS). We are proposing here an MADM (Multiple Attribute Decision Making) based ranking algorithm using a multi-layered directed acyclic graph (DAG) model to rank the critical nodes in the...
In this paper an 18.2 GHz differential low noise amplifier (LNA) is proposed for use in on chip ultra wide band transceiver. We used TSMC 0.35 um process MOSFET model parameters and the simulations are carried out using Cadence Spectre simulator. The single stage differential LNA shows 22.06 dB voltage gain at 18.2 GHz with a operating frequency ba...
In this paper an 18.2 GHz differential low noise amplifier (LNA) is proposed for use in on chip ultra wide band transceiver. We used TSMC 0.35 mum process MOSFET model parameters and the simulations are carried out using Cadence Spectre simulator. The single stage differential LNA shows 22.06 dB voltage gain at 18.2 GHz with a operating frequency b...
I need to check the similarity index (or plagiarism index) in one of my papers. As we are utilizing some of the contents from our previous papers, so I need to know which tools are good for checking the similarity index. I am using latex to generate my paper, so I need to be able to upload the full pdf file and get a report on the similar contents. Is there any free resources that are good for checking the same for publications?
Can anybody please suggest me if there are open access data for the cyber security specially for energy delivery systems or smart grid systems? If there are data from PMU or testbeds that would be very helpful. I want to use the data only for my model developing purpose for my PhD work.
Md Ariful Haque
Computational Modeling and Simulation Engineering,
Old Dominion University