Zobrazeno 1 - 10
of 92
pro vyhledávání: '"Kalyan S. Perumalla"'
Publikováno v:
Data Science and Engineering, Vol 4, Iss 1, Pp 61-75 (2019)
Abstract A novel parallel algorithm is presented for generating random scale-free networks using the preferential attachment model. The algorithm, named cuPPA, is custom-designed for “single instruction multiple data (SIMD)” style of parallel pro
Externí odkaz:
https://doaj.org/article/43e4edabdbec49df9572f52d0c78f679
Publikováno v:
2022 Winter Simulation Conference (WSC).
Publikováno v:
Journal of Cybersecurity and Privacy, Vol 1, Iss 31, Pp 615-637 (2021)
Journal of Cybersecurity and Privacy
Volume 1
Issue 4
Pages 31-637
Journal of Cybersecurity and Privacy
Volume 1
Issue 4
Pages 31-637
We introduce CyBERT, a cybersecurity feature claims classifier based on bidirectional encoder representations from transformers and a key component in our semi-automated cybersecurity vetting for industrial control systems (ICS). To train CyBERT, we
Autor:
Kalyan S. Perumalla, Maksudul Alam
Publikováno v:
Journal of the Indian Institute of Science. 101:357-370
In simulation-based studies and analyses of epidemics, a major challenge lies in resolving the conflict between fidelity of models and the speed of their simulation. Another related challenge arises in dealing with the large number of what-if scenari
Autor:
Kalyan S. Perumalla, Maksudul Alam
Publikováno v:
ICPP Workshops
Mixed Integer Programming (MIP) is a powerful abstraction in combinatorial optimization that finds real-life application across many significant sectors. The recent proliferation of graphical processing unit (GPU)-based accelerated computing architec
Publikováno v:
ANNSIM
Motivated by the challenge of capturing the new discrete dynamics that fundamentally characterize modern grid technologies, we revisit the problem of simulating power electronic circuits. A simplified circuit is used as a case study to uncover and hi
Autor:
Kalyan S. Perumalla, Maksudul Alam
Publikováno v:
Frontiers in Big Data
Frontiers in Big Data, Vol 4 (2021)
Frontiers in Big Data, Vol 4 (2021)
Synthetically generated, large graph networks serve as useful proxies to real-world networks for many graph-based applications. The ability to generate such networks helps overcome several limitations of real-world networks regarding their number, av
Autor:
Georgios Theodoropoulos, Masatoshi Hanai, Toyotaro Suzumura, Elvis S. Liu, Kalyan S. Perumalla
Publikováno v:
ACM Transactions on Modeling and Computer Simulation. 29:1-25
Using computer simulation to analyze large-scale discrete event systems requires repeated executions with various scenarios or parameters. Such repeated executions can induce significant redundancy in event processing when the modification from a pri
Autor:
Kalyan S. Perumalla
Publikováno v:
SAT-CPS@CODASPY
Cyber-physical systems span a wide spectrum, from long-lived legacy systems to more modern installations. Trust is an issue that arises across the spectrum, albeit with different variants of goals and constraints. On the one end of the spectrum, lega
Autor:
Olivera Kotevska, Hamid Sharif, Kalyan S. Perumalla, Maksudul Alam, Juan Lopez, Michael Hempel
Publikováno v:
2020 IEEE Kansas Power and Energy Conference (KPEC).
The cybersecurity auditing for Operation Technology is critical and has been largely missing from the cybersecurity research, especially in the energy sector. In this paper, we present a novel “cybersecurity vetting” approach (CYVET) to the probl