Zobrazeno 1 - 10
of 363
pro vyhledávání: '"Jolfaei, Alireza"'
Malicious URLs provide adversarial opportunities across various industries, including transportation, healthcare, energy, and banking which could be detrimental to business operations. Consequently, the detection of these URLs is of crucial importanc
Externí odkaz:
http://arxiv.org/abs/2403.02995
The Industrial Internet of Things (IIoT) is a developing research area with potential global Internet connectivity, turning everyday objects into intelligent devices with more autonomous activities. IIoT services and applications are not only being u
Externí odkaz:
http://arxiv.org/abs/2209.13323
Autor:
Jadidi, Zahra, Pal, Shantanu, K, Nithesh Nayak, Selvakkumar, Arawinkumaar, Chang, Chih-Chia, Beheshti, Maedeh, Jolfaei, Alireza
In this study, we focus on the impact of adversarial attacks on deep learning-based anomaly detection in CPS networks and implement a mitigation approach against the attack by retraining models using adversarial samples. We use the Bot-IoT and Modbus
Externí odkaz:
http://arxiv.org/abs/2206.05678
Trust is a fundamental concept in large-scale distributed systems like the Internet of Things (IoT). Trust helps to resolve choices into a decision. However, the trust calculation depends on the amount of uncertainty present in data sources. Trust in
Externí odkaz:
http://arxiv.org/abs/2205.00390
Publikováno v:
In Ad Hoc Networks 1 September 2024 162
An enhanced Deep-Learning empowered Threat-Hunting Framework for software-defined Internet of Things
Publikováno v:
In Computers & Security January 2025 148
Autor:
Xenofontos, Christos, Zografopoulos, Ioannis, Konstantinou, Charalambos, Jolfaei, Alireza, Khan, Muhammad Khurram, Choo, Kim-Kwang Raymond
Internet of Things (IoT) devices are becoming ubiquitous in our lives, with applications spanning from the consumer domain to commercial and industrial systems. The steep growth and vast adoption of IoT devices reinforce the importance of sound and r
Externí odkaz:
http://arxiv.org/abs/2105.06612
Autor:
Ghavidel, Pedram, Farhadi, Masoud, Dabbaghjamanesh, Morteza, Jolfaei, Alireza, Sabahi, Mehran
Publikováno v:
IEEE Journal of Emerging and Selected Topics in Industrial Electronics 2021
In this paper, a new dual function fault current limiter-dynamic voltage restorer (FCL-DVR) topology is proposed. The proposed structure, in addition to performing routine FCL tasks, can be used to improve the voltage quality of point of common coupl
Externí odkaz:
http://arxiv.org/abs/2103.09793
Autor:
Garmaroodi, Mohammad Sadegh Sadeghi, Farivar, Faezeh, Haghighi, Mohammad Sayad, Shoorehdeli, Mahdi Aliyari, Jolfaei, Alireza
Industry 4.0 will make manufacturing processes smarter but this smartness requires more environmental awareness, which in case of Industrial Internet of Things, is realized by the help of sensors. This article is about industrial pharmaceutical syste
Externí odkaz:
http://arxiv.org/abs/2009.03645
Our high expectations from Internet of Things (IoT) and how it will positively influence our lifestyles depend on a secure and trusted implementation of it, especially in the sensitive sectors such as health or financial. IoT platforms and solutions
Externí odkaz:
http://arxiv.org/abs/2008.08672