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of 140
pro vyhledávání: '"A, Husnoo"'
The increasing security and privacy concerns in the Smart Grid sector have led to a significant demand for robust intrusion detection systems within critical smart grid infrastructure. To address the challenges posed by privacy preservation and decen
Externí odkaz:
http://arxiv.org/abs/2407.15879
Autor:
Husnoo, Muhammad Akbar, Anwar, Adnan, Reda, Haftu Tasew, Hosseinzadeh, Nasser, Islam, Shama Naz, Mahmood, Abdun Naser, Doss, Robin
With the growing concern about the security and privacy of smart grid systems, cyberattacks on critical power grid components, such as state estimation, have proven to be one of the top-priority cyber-related issues and have received significant atte
Externí odkaz:
http://arxiv.org/abs/2304.03640
Autor:
Husnoo, Muhammad Akbar, Anwar, Adnan, Reda, Haftu Tasew, Hosseizadeh, Nasser, Islam, Shama Naz, Mahmood, Abdun Naser, Doss, Robin
With growing security and privacy concerns in the Smart Grid domain, intrusion detection on critical energy infrastructure has become a high priority in recent years. To remedy the challenges of privacy preservation and decentralized power zones with
Externí odkaz:
http://arxiv.org/abs/2303.16956
Autor:
Husnoo, Muhammad Akbar, Anwar, Adnan, Hosseinzadeh, Nasser, Islam, Shama Naz, Mahmood, Abdun Naser, Doss, Robin
Smart meter measurements, though critical for accurate demand forecasting, face several drawbacks including consumers' privacy, data breach issues, to name a few. Recent literature has explored Federated Learning (FL) as a promising privacy-preservin
Externí odkaz:
http://arxiv.org/abs/2209.14547
Autor:
Husnoo, Muhammad Akbar, Anwar, Adnan, Hosseinzadeh, Nasser, Islam, Shama Naz, Mahmood, Abdun Naser, Doss, Robin
As Smart Meters are collecting and transmitting household energy consumption data to Retail Energy Providers (REP), the main challenge is to ensure the effective use of fine-grained consumer data while ensuring data privacy. In this manuscript, we ta
Externí odkaz:
http://arxiv.org/abs/2203.00219
Autor:
Husnoo, Muhammad Akbar, Anwar, Adnan, Hosseinzadeh, Nasser, Islam, Shama Naz, Mahmood, Abdun Naser, Doss, Robin
With the proliferation of smart devices and revolutions in communications, electrical distribution systems are gradually shifting from passive, manually-operated and inflexible ones, to a massively interconnected cyber-physical smart grid to address
Externí odkaz:
http://arxiv.org/abs/2111.14251
Autor:
Shabanpour, Arash, Hou, Ziwei, Husnoo, Akbar, Nguyen, Khanh Linh, Yearwood, John, Zaidi, Nayyar
Publikováno v:
In Knowledge-Based Systems 4 November 2023 279
Autor:
Muhammad Akbar Husnoo, Adnan Anwar, Haftu Tasew Reda, Nasser Hosseinzadeh, Shama Naz Islam, Abdun Naser Mahmood, Robin Doss
Publikováno v:
Energy and AI, Vol 14, Iss , Pp 100271- (2023)
With the growing concern about the security and privacy of smart grid systems, cyberattacks on critical power grid components, such as state estimation, have proven to be one of the top-priority cyber-related issues and have received significant atte
Externí odkaz:
https://doaj.org/article/9a83be102a0a44e8b19324525d83d065
Autor:
Husnoo, Nilofer, Harikrishnan, Athur
Publikováno v:
In Surgery (Oxford) July 2023 41(7):429-435
Autor:
Husnoo, Muhammad Akbar, Anwar, Adnan, Hosseinzadeh, Nasser, Islam, Shama Naz, Mahmood, Abdun Naser, Doss, Robin
Publikováno v:
In Future Generation Computer Systems March 2023 140:344-364