Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Sai Sree Laya Chukkapalli"'
Publikováno v:
IEEE Access, Vol 9, Pp 148004-148016 (2021)
Data confidentiality is an issue of increasing importance. Several authorities and regulatory bodies are creating new laws that control how web services data is handled and shared. With the rapid increase of such regulations, web service providers fa
Externí odkaz:
https://doaj.org/article/2cf991d11c1c49d6bd7239f20a910a33
Autor:
Sai Sree Laya Chukkapalli, Sudip Mittal, Maanak Gupta, Mahmoud Abdelsalam, Anupam Joshi, Ravi Sandhu, Karuna Joshi
Publikováno v:
IEEE Access, Vol 8, Pp 164045-164064 (2020)
Cyber-Physical Systems (CPS) and Internet of Thing (IoT) generate large amounts of data spurring the rise of Artificial Intelligence (AI) based smart applications. Driven by rapid advancements in technologies that support smart devices, agriculture a
Externí odkaz:
https://doaj.org/article/b635b0dec3f942b39c3b3e234a240890
Publikováno v:
IEEE Access, Vol 9, Pp 148004-148016 (2021)
Data confidentiality is an issue of increasing importance. Several authorities and regulatory bodies are creating new laws that control how web services data is handled and shared. With the rapid increase of such regulations, web service providers fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68aafd1207889dbc340dcf59c83f114e
https://ieeexplore.ieee.org/document/9592800/
https://ieeexplore.ieee.org/document/9592800/
Publikováno v:
Proceedings of the 2022 ACM on International Workshop on Security and Privacy Analytics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f799c0061e4a5956241fa3c1543a3206
https://doi.org/10.1145/3510548.3519377
https://doi.org/10.1145/3510548.3519377
Autor:
Karuna Pande Joshi, Maanak Gupta, Ravi Sandhu, Sudip Mittal, Sai Sree Laya Chukkapalli, Anupam Joshi, Mahmoud Abdelsalam
Publikováno v:
IEEE Access, Vol 8, Pp 164045-164064 (2020)
Cyber-Physical Systems (CPS) and Internet of Thing (IoT) generate large amounts of data spurring the rise of Artificial Intelligence (AI) based smart applications. Driven by rapid advancements in technologies that support smart devices, agriculture a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe788cea5eb30108ebfa9c4779319050
https://doi.org/10.1109/access.2020.3022763
https://doi.org/10.1109/access.2020.3022763
The Internet of Battlefield Things (IoBT) will advance the operational effectiveness of infantry units. However, this requires autonomous assets such as sensors, drones, combat equipment, and uncrewed vehicles to collaborate, securely share informati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f27d5575d23db5d4ac4270b53ec12727
Publikováno v:
2021 Third IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49cd2f6a300f7d65541c86529a4cfb8d
https://doi.org/10.1109/tpsisa52974.2021.00037
https://doi.org/10.1109/tpsisa52974.2021.00037
Rapid advancements in Cyber-Physical System (CPS) capabilities have motivated farmers to deploy this ecosystem on their farms. However, there is a growing concern among users regarding the security risks associated with CPS. Especially with rising nu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9ec6f644e622addbea84d6284590261
Autor:
Shaik Barakhat Aziz, Sai Sree Laya Chukkapalli, Mahmoud Abdelsalam, Maanak Gupta, Nouran Alotaibi, Sudip Mittal
Publikováno v:
SAT-CPS@CODASPY
Increasing number of internet connected devices has paved a path for smarter ecosystems in various sectors such as agriculture, aquaculture, manufacturing, healthcare, etc. Especially, integrating technologies like big data, artificial intelligence (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15a3bff016ed8ae97306a1233a3bf54a
https://doi.org/10.1145/3445969.3450429
https://doi.org/10.1145/3445969.3450429
Autor:
Sudip Mittal, Sai Sree Laya Chukkapalli, Maanak Gupta, Nitu Kedarmal Choudhary, Anupam Joshi, Mahmoud Abdelsalam
Publikováno v:
IEEE BigData
In recent years, machine learning approaches are gaining popularity with the advent of big data. The massive amount of data generated, when served as an input to machine learning approaches, provides useful insights. Adoption of these approaches in t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::530cef0483b7e3d21e406b3d5b3b61b6
https://doi.org/10.1109/bigdata50022.2020.9377832
https://doi.org/10.1109/bigdata50022.2020.9377832