Search Results - "Zaman, Marzia"

Distributed Ledger Technologies and Their Applications: A Review by Soltani, Reza, Zaman, Marzia, Joshi, Rohit, Sampalli, Srinivas

“…With the success of Bitcoin and the introduction of different uses of Blockchain, such as smart contracts in Ethereum, many researchers and industries have…”
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Towards Developing a Robust Intrusion Detection Model Using Hadoop–Spark and Data Augmentation for IoT Networks by Manzano Sanchez, Ricardo Alejandro, Zaman, Marzia, Goel, Nishith, Naik, Kshirasagar, Joshi, Rohit

“…In recent years, anomaly detection and machine learning for intrusion detection systems have been used to detect anomalies on Internet of Things networks…”
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Investigating the Avalanche effect of Various Cryptographically Secure Hash Functions and Hash-based Applications by Upadhyay, Darshana, Gaikwad, Nupur, Zaman, Marzia, Sampalli, Srinivas

“…In modern cryptography, hash functions are considered as one of the key components for secure communication. They play a vital role in a wide range of…”
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Markov Prediction Model for Host Load Detection and VM Placement in Live Migration by Melhem, Suhib Bani, Agarwal, Anjali, Goel, Nishith, Zaman, Marzia

“…The design of good host overload/underload detection and virtual machine (VM) placement algorithms plays a vital role in assuring the smoothness of VM live…”
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A Quantum-Based Signcryption for Supervisory Control and Data Acquisition (SCADA) Networks by Ghosh, Sagarika, Zaman, Marzia, Plourde, Bernard, Sampalli, Srinivas

“…Supervisory Control and Data Acquisition (SCADA) systems are ubiquitous in industrial control processes, such as power grids, water supply systems, traffic…”
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Using IOTA Tangle and Machine Learning for a Defensive Model-Based Approach Against Replication Attacks on Wireless Sensor Networks by Soltani, Reza, Zaman, Marzia, Upadhyay, Darshana, Jain, Achin, Sampalli, Srinivas

“…Wireless Sensor Networks (WSNs) are essential for data collection across various domains but face growing risks from replication attacks, which introduce new…”
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Validation of a Machine Learning-based IDS Design Framework using ORNL Datasets for Power System with SCADA by Zaman, Marzia, Upadhyay, Darshana, Lung, Chung-Horng

“…Supervisory Control and Data Acquisition (SCADA) systems are widely used for remote monitoring and control of industrial processes, such as oil and gas…”
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Knowledge Graph Generation and Application for Unstructured Data Using Data Processing Pipeline by Thushara Sukumar, Sushmi, Lung, Chung-Horng, Zaman, Marzia, Panday, Ritesh

“…With the rapid advancement of technology and the vast volume of unstructured data available on the Internet, there is a pressing need to extract information…”
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An Intrusion Resistant SCADA Framework Based on Quantum and Post-Quantum Scheme by Ghosh, Sagarika, Zaman, Marzia, Sakauye, Gary, Sampalli, Srinivas

“…The rapid emergence of quantum computing threatens current Supervisory Control and Data Acquisition (SCADA) security standards, mainly, American Gas…”
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Dynamic K-Means Clustering of Workload and Cloud Resource Configuration for Cloud Elastic Model by Daradkeh, Tariq, Agarwal, Anjali, Zaman, Marzia, Goel, Nishith

“…Cloud elasticity involves timely provisioning and de-provisioning of computing resources and adjusting resources size to meet the dynamic workload demand. This…”
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Undergraduate Student’s Stress, Anxiety, Depression, and their Coping styles during COVID-19 by Kabir, Rubayat, Sultana, Marzia Zaman, Sanaul Haque Mondal, Md, Kabir, Ishrak

“…: COVID-19 was responsible for widespread disturbance throughout the educational system and was harmful in a variety of ways. In particular with regard to the…”
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Characterization and Detection of Tail Energy Bugs in Smartphones by Abbasi, Abdul Muqtadir, Al-Tekreeti, Mustafa, Naik, Kshirasagar, Nayak, Amiya, Srivastava, Pradeep, Zaman, Marzia

“…Smartphones are the most ubiquitous and popular hand-held devices because of their rich set of features and wide variety of services that require frequent…”
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Applications of clustering techniques to software partitioning, recovery and restructuring by Lung, Chung-Horng, Zaman, Marzia, Nandi, Amit

“…The artifacts constituting a software system are sometimes unnecessarily coupled with one another or may drift over time. As a result, support of software…”
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Characterizing Nanoparticle Size by Dynamic Light Scattering Technique (DLS) by Zaman, Marzia

“…The Dynamic Light Scattering Technique was used to determine the size, shape and diffusion coefficient of nanoparticle. The intensity auto correlation…”
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Gradient Boosting Feature Selection With Machine Learning Classifiers for Intrusion Detection on Power Grids by Upadhyay, Darshana, Manero, Jaume, Zaman, Marzia, Sampalli, Srinivas

“…Smart grids rely on SCADA (Supervisory Control and Data Acquisition) systems to monitor and control complex electrical networks in order to provide reliable…”
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Intrusion Detection in SCADA Based Power Grids: Recursive Feature Elimination Model With Majority Vote Ensemble Algorithm by Upadhyay, Darshana, Manero, Jaume, Zaman, Marzia, Sampalli, Srinivas

“…We propose an integrated framework for an intrusion detection system for SCADA (Supervisory Control and Data Acquisition)-based power grids. Our scheme…”
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Multi-Phase Quantum Resistant Framework for Secure Communication in SCADA Systems by Ghosh, Sagarika, Zaman, Marzia, Joshi, Rohit, Sampalli, Srinivas

“…Supervisory Control and Data Acquisition (SCADA) systems are vulnerable to traditional cyber-attacks, such as man-in-the-middle, denial of service,…”
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An Efficient Key Management and Multi-Layered Security Framework for SCADA Systems by Upadhyay, Darshana, Zaman, Marzia, Joshi, Rohit, Sampalli, Srinivas

“…Supervisory Control and Data Acquisition (SCADA) networks play a vital role in industrial control systems. Industrial organizations perform operations remotely…”
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Securing industrial control systems: Developing a SCADA/IoT test bench and evaluating lightweight cipher performance on hardware simulator by Upadhyay, Darshana, Ghosh, Sagarika, Ohno, Hiroyuki, Zaman, Marzia, Sampalli, Srinivas

“…This paper addresses the critical need for enhancing security in Supervisory Control and Data Acquisition (SCADA) networks within Industrial Control Systems…”
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Evaluation of machine learning techniques for network intrusion detection by Zaman, Marzia, Lung, Chung-Horng

“…Network traffic anomaly may indicate a possible intrusion in the network and therefore anomaly detection is important to detect and prevent the security…”
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