Zobrazeno 1 - 10
of 795
pro vyhledávání: '"Alazab, Mamoun"'
Publikováno v:
2022 ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond
We leverage blockchain technology for drone node authentication in internet of drone things (IoDT). During the authentication procedure, the credentials of drone nodes are examined to remove malicious nodes from the system. In IoDT, drones are respon
Externí odkaz:
http://arxiv.org/abs/2210.11745
Autor:
Chengoden, Rajeswari, Victor, Nancy, Huynh-The, Thien, Yenduri, Gokul, Jhaveri, Rutvij H., Alazab, Mamoun, Bhattacharya, Sweta, Hegde, Pawan, Maddikunta, Praveen Kumar Reddy, Gadekallu, Thippa Reddy
The rapid progress in digitalization and automation have led to an accelerated growth in healthcare, generating novel models that are creating new channels for rendering treatment with reduced cost. The Metaverse is an emerging technology in the digi
Externí odkaz:
http://arxiv.org/abs/2209.04160
Autor:
Victor, Nancy, C, Rajeswari., Alazab, Mamoun, Bhattacharya, Sweta, Magnusson, Sindri, Maddikunta, Praveen Kumar Reddy, Ramana, Kadiyala, Gadekallu, Thippa Reddy
Internet of Underwater Things (IoUT) have gained rapid momentum over the past decade with applications spanning from environmental monitoring and exploration, defence applications, etc. The traditional IoUT systems use machine learning (ML) approache
Externí odkaz:
http://arxiv.org/abs/2207.13976
Autor:
Srivastava, Gautam, Jhaveri, Rutvij H, Bhattacharya, Sweta, Pandya, Sharnil, Rajeswari, Maddikunta, Praveen Kumar Reddy, Yenduri, Gokul, Hall, Jon G., Alazab, Mamoun, Gadekallu, Thippa Reddy
In the past few years, artificial intelligence (AI) techniques have been implemented in almost all verticals of human life. However, the results generated from the AI models often lag explainability. AI models often appear as a blackbox wherein devel
Externí odkaz:
http://arxiv.org/abs/2206.03585
Malware distribution to the victim network is commonly performed through file attachments in phishing email or from the internet, when the victim interacts with the source of infection. To detect and prevent the malware distribution in the victim mac
Externí odkaz:
http://arxiv.org/abs/2110.02504
Autor:
Agrawal, Shaashwat, Sarkar, Sagnik, Alazab, Mamoun, Maddikunta, Praveen Kumar Reddy, Gadekallu, Thippa Reddy, Pham, Quoc-Viet
Publikováno v:
Computational Intelligence and Neuroscience, vol. 2021, Article ID 7156420, 10 pages, 2021
Federated learning (FL) is a distributed model for deep learning that integrates client-server architecture, edge computing, and real-time intelligence. FL has the capability of revolutionizing machine learning (ML) but lacks in the practicality of i
Externí odkaz:
http://arxiv.org/abs/2107.07233
Autor:
Javanmardi, Saeed, Ghahramani, Meysam, Shojafar, Mohammad, Alazab, Mamoun, Caruso, Antonio M.
Publikováno v:
In Computers & Security May 2024 140
