Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Onur Savas"'
Publikováno v:
IEEE BigData
As autonomous systems become an essential part of augmented decision-making in the workforce, we have the opportunity to change the relationship between human and machine into a more collaborative one. The future of industry, commercial and public se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3bd11c2019792ab2cc6a5288c0319e69
https://doi.org/10.1109/bigdata50022.2020.9377747
https://doi.org/10.1109/bigdata50022.2020.9377747
Autor:
Ian McCulloh, Onur Savas
Publikováno v:
ASONAM
We review the k-truss algorithm for community detection in networks. The k-truss is an efficient clustering algorithm that holds advantageous properties for many network applications. In this paper, we compare the k-truss performance against other, m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35d456db6ef4213ee89791e4c898b9be
https://doi.org/10.1109/asonam49781.2020.9381328
https://doi.org/10.1109/asonam49781.2020.9381328
Publikováno v:
ASONAM
With the rise in popularity of social media, these platforms present a new opportunity to reach potential job candidates for employment opportunities. The current literature lacks sufficient research on methods and best practices to design and assess
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed3d070a1acb172df5e8f9b09304bc09
https://doi.org/10.1109/asonam49781.2020.9381351
https://doi.org/10.1109/asonam49781.2020.9381351
Publikováno v:
ASONAM
Initial scientific s tudies s uggest t he s pread o f extreme content, "the COVID-19 infodemic," likely plays a crucial role in news spread about the "the COVID-19 pandemic." In this paper, we quantify the evolution of polarization and engagement in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eea9f718159349b42f2e56f45266adb1
https://doi.org/10.1109/asonam49781.2020.9381362
https://doi.org/10.1109/asonam49781.2020.9381362
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II.
To systematically understand the effects of vulnerabilities introduced by AI/ML-enabled Army Multi-domain Operations, we provide an overview of characterization of ML attacks with an emphasis on black-box vs. white-box attacks. We then study a system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb592be3e53dfccb92a1d51b209cc5f2
https://doi.org/10.1117/12.2548798
https://doi.org/10.1117/12.2548798
Publikováno v:
Next-Generation Analyst VI.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75d7b045140def5985ad734469cf1360
https://doi.org/10.1117/12.2306550
https://doi.org/10.1117/12.2306550
Autor:
Onur Savas, Julia Deng
Big data is presenting challenges to cybersecurity. For an example, the Internet of Things (IoT) will reportedly soon generate a staggering 400 zettabytes (ZB) of data a year. Self-driving cars are predicted to churn out 4000 GB of data per hour of d
Autor:
Julia Deng, Onur Savas
Publikováno v:
Big Data Analytics in Cybersecurity ISBN: 9781315154374
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba7d51edcf46cdc0919b8e1bc4c7470b
https://doi.org/10.1201/9781315154374-14
https://doi.org/10.1201/9781315154374-14
Publikováno v:
ACM SIGMETRICS Performance Evaluation Review. 41:86-89
We discuss tactical challenges of the Big Data analytics regarding the underlying data, application space, and com- puting environment, and present a comprehensive solution framework motivated by the relevant tactical use cases. First, we summarize t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e9f932b35f47a88bd21fb05e0f2fa27
https://doi.org/10.1145/2627534.2627561
https://doi.org/10.1145/2627534.2627561
Publikováno v:
GLOBECOM Workshops
In Cognitive Radio Networks (CRNs), Cognitive radios (CRs) learn from their environment and adapt to the environment based on their learned beliefs accordingly. Malicious nodes may exploit the cognitive engine of CRs, and conduct belief manipulation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58c5aedb615d0dac6dab37705145fa41
https://doi.org/10.1109/glocomw.2015.7414012
https://doi.org/10.1109/glocomw.2015.7414012