Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Saket Upadhyay"'
Autor:
Ajit Kumar, Vinti Agarwal, Shishir Kumar Shandilya, Andrii Shalaginov, Saket Upadhyay, Bhawna Yadav
Publikováno v:
Future Internet, Vol 12, Iss 4, p 66 (2020)
Android malware has become the topmost threat for the ubiquitous and useful Android ecosystem. Multiple solutions leveraging big data and machine-learning capabilities to detect Android malware are being constantly developed. Too often, these solutio
Externí odkaz:
https://doaj.org/article/dce51a15c8ed46e6aca65a4d6df61a87
Publikováno v:
Future Generation Computer Systems. 127:297-308
In the current ever-changing cybersecurity scenario, active cyber defense strategies are imperative. In this work, we present a standard testbed to measure the efficacy and efficiency of customized networks while analyzing various parameters during t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33d03cac94046e1bbb8a39ffa669bff3
https://doi.org/10.1016/j.future.2021.09.018
https://doi.org/10.1016/j.future.2021.09.018
Publikováno v:
Processes
Volume 11
Issue 3
Pages: 715
Volume 11
Issue 3
Pages: 715
The new paradigm of nature-inspired cybersecurity can establish a robust defense by utilizing well-established nature-inspired computing algorithms to analyze networks and act quickly. The existing research focuses primarily on the efficient selectio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf711e5ff31cf9dd676f53d89f2773bf
https://doi.org/10.3390/pr11030715
https://doi.org/10.3390/pr11030715
Autor:
Saket Upadhyay
Publikováno v:
Advances in Nature-Inspired Cyber Security and Resilience ISBN: 9783030907075
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb3cf49d99da133008494e6f2372d7d9
https://doi.org/10.1007/978-3-030-90708-2_5
https://doi.org/10.1007/978-3-030-90708-2_5
Autor:
Vinti Agarwal, Saket Upadhyay, Ajit Kumar, Bhawna Yadav, Andrii Shalaginov, Shishir Kumar Shandilya
Publikováno v:
Future Internet
Volume 12
Issue 4
Future Internet, Vol 12, Iss 66, p 66 (2020)
Volume 12
Issue 4
Future Internet, Vol 12, Iss 66, p 66 (2020)
Android malware has become the topmost threat for the ubiquitous and useful Android ecosystem. Multiple solutions leveraging big data and machine-learning capabilities to detect Android malware are being constantly developed. Too often, these solutio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8206cc9198309dea4bd43e47b7444cec
Autor:
Bhawna Yadav, Vinti Agarwal, Shishir Kumar Shandilya, Andrii Shalaginov, Saket Upadhyay, Ajit Kumar
Publikováno v:
IEEE BigData
Android malware has become the topmost threat for ubiquitous and useful Android eco-system. Multiple solutions leveraging big data and machine learning capabilities to detect android malware are being constantly developed. Too often, many of these so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4cb48d35bdd9c9fc389ecb8ddfff6b68
https://doi.org/10.1109/bigdata47090.2019.9006557
https://doi.org/10.1109/bigdata47090.2019.9006557