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- Ad hoc networks (1)
- Age of sensing (1)
- Appropriate counter-measures (1)
- Artificial intelligence framework (1)
- Attack (1)
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- Automation (1)
- Bot (Internet) (1)
- Changes in network topology (1)
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- Cost-sensitive assessment (1)
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- Decision making (1)
- Deep reinforcement learning (1)
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- Dynamic topology (1)
- Field studies (1)
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- Hidden markov model (1)
- Holographic MIMO (1)
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- Integrated sensing and communication (1)
- Internet of things (1)
- Internet of things devices (1)
- Internet of things networks (1)
- Intrusion (1)
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- Intrusion response (1)
- Intrusion response system (1)
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Articles 1 - 2 of 2
Full-Text Articles in Physical Sciences and Mathematics
Age Of Sensing Empowered Holographic Isac Framework For Nextg Wireless Networks: A Vae And Drl Approach, Apurba Adhikary, Avi Deb Raha, Yu Qiao, Md. Shirajum Munir, Monishanker Halder, Choong Seon Hong
Age Of Sensing Empowered Holographic Isac Framework For Nextg Wireless Networks: A Vae And Drl Approach, Apurba Adhikary, Avi Deb Raha, Yu Qiao, Md. Shirajum Munir, Monishanker Halder, Choong Seon Hong
School of Cybersecurity Faculty Publications
This paper proposes an artificial intelligence (AI) framework that leverages integrated sensing and communication (ISAC), aided by the age of sensing (AoS) to ensure the timely location updates of the users for a holographic MIMO (HMIMO)- enabled wireless network. The AI-driven framework guarantees optimal power allocation for efficient beamforming by activating the minimal number of grids from the HMIMO base station. An optimization problem is formulated to maximize the sensing utility function, aiming to maximize the signal-to-interference-plus-noise ratio (SINR) of the received signal, beam-pattern gains to improve the sensing SINR of reflected echo signals and maximizing the evidence lower bound …
A Systemic Mapping Study On Intrusion Response Systems, Adel Rezapour, Mohammad Ghasemigol, Daniel Takabi
A Systemic Mapping Study On Intrusion Response Systems, Adel Rezapour, Mohammad Ghasemigol, Daniel Takabi
School of Cybersecurity Faculty Publications
With the increasing frequency and sophistication of network attacks, network administrators are facing tremendous challenges in making fast and optimum decisions during critical situations. The ability to effectively respond to intrusions requires solving a multi-objective decision-making problem. While several research studies have been conducted to address this issue, the development of a reliable and automated Intrusion Response System (IRS) remains unattainable. This paper provides a Systematic Mapping Study (SMS) for IRS, aiming to investigate the existing studies, their limitations, and future directions in this field. A novel semi-automated research methodology is developed to identify and summarize related works. The innovative …