https://doi.org/10.1109/DAT.2017.7889183

Embedded BeagleBone based Wi-Fi intrusions detector and vulnerabilities checker

It is common in any institution to deploy several wireless nodes allowing access to local network resources and the Internet. All deployed wireless access nodes may suffer from vulnerabilities and data integrity. This paper aims to present the development we have done for wireless device based on BeagleBone embedded board, to detect existent nearby malicious use on Wi-Fi wireless networks. Our developed embedded device is able to test the security and integrity level of nearby wireless access points based on the Wi-Fi stack protocols.

doi.org

https://doi.org/10.1109/DAT.2017.7889183

https://doi.org/10.1109/ICEEAC61226.2024.10576534

A Review of Methods for Detecting and Preventing Drowning Incorporating Various Techniques, Devices and Technologies

Security and saving humans have been important subjects for humanity for years, and as we know, there are many reasons to die. One of these reasons is drowning. The World Health Organization estimates that 236,000 people die because of drowning every year, and 90% of these incidents are situated in low and middle-income countries. In relation to that, we define earlier technologically assisted methodologies to prevent drowning. In recent years, two kinds of approaches have emerged as solutions to detect previous drowning incidents. The first approach involves the use of video processing technology in conjunction with cameras to identify individuals in distress. The second approach uses Internet of Things (IoT) objects to detect and alert to drowning incidents. In this survey paper, we evaluate the performance and weaknesses of these two methods and provide insights into their potential for improving drowning detection and prevention efforts.

doi.org

10.1109/ICEEAC61226.2024.10576534

https://doi.org/10.1007/s00607-026-01631-2

Feasibility evaluation of a LoRa-based IoT framework for real-time drowning detection and prevention - Computing

The framework of this paper focuses on the evaluation of the performance of LoRa technology, particularly for individuals exposed to drowning risks in a real environment. It concerns the conception and development of a prototype for monitoring swimmers in a large area, allowing for the prevention of the ongoing drowning situation. This system allows long-range data transfer from multiple sensors to the server via an MQTT broker and then analyzes them for proper decision-making (SOS mode or not). This paper discusses a full low-power communication setup (LoRa network) that uses the Internet of Things and looks at important technical details like RSSI, latency, and packet loss. The experimental results demonstrate a communication range of about 150 m, an average latency between 4.5 and 17 ms, a packet loss rate below 12%, and RSSI values ranging from − 50 dBm to -127 dBm. The device operates with an average power consumption of approximately 80 mA, and the overall prototype completion rate reached nearly 80%, confirming its functional reliability. The study also examines the impact of varying environmental conditions on the performance of the LoRa network, providing researchers useful information for optimizing its deployment in real-world scenarios. Additionally, the PPG sensor monitors vital signs like heart rate, blood pressure, and oxygen levels. Thus, this architecture implements a GPS module to locate the drowning. Consequently, the potential benefits of implementing such systems are numerous, including the anti-drowning measures, lifeguards, staff, and society in general.

doi.org

Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing
👨‍🔬 Zhi Zhou, Xu Chen, En Li, Liekang Zeng, Ke Luo, Junshan Zhang
📅 2019-06-12
📖
🔗 DOI: https://doi.org/10.1109/jproc.2019.2918951
📊 Citations: 2062
🔓 Open Access

Abstract:
With the breakthroughs in deep learning, the recent…Read More

A Survey of AI-Based Anomaly Detection in IoT and Sensor Networks
👨‍🔬 Kyle DeMedeiros, Abdeltawab Hendawi, Marco Álvarez
📅 2023-01-25
📖
🔗 DOI: https://doi.org/10.3390/s23031352
📊 Citations: 124
🔓 Open Access

Abstract:
Machine learning (ML) and deep learning (DL), in particular, are common tools for anomaly…Read More

AI-empowered, blockchain and SDN integrated security architecture for IoT network of cyber physical systems
👨‍🔬 Sohaib Latif, Fang B. Xian Wen, Celestine Iwendi, Li-li F. Wang, Syed Muhammad Mohsin, Zhaoyang Han, Shahab S. Band
📅 2021-10-12
📖
🔗 DOI: https://doi.org/10.1016/j.comcom.2021.09.029
📊 Citations: 203
🔓…Read More

Data traffic management in AI-IoT network to reduce congestion
👨‍🔬 Muhammad Usama, Ubaid Ullah, Zaid Muhammad, Muhammad Bux, Inam Ullah, Muhammad Rouf, Taminul Islam
📅 2024-06-20
📖
🔗 DOI: https://doi.org/10.1201/9781003496410-10
📊 Citations: 6
🔓 Closed

Abstract:
As the artificial intelligence–internet of t…Read More

AI-Based Two-Stage Intrusion Detection for Software Defined IoT Networks
👨‍🔬 Jiaqi Li, Zhifeng Zhao, Rongpeng Li, Honggang Zhang
📅 2018-11-26
📖
🔗 DOI: https://doi.org/10.1109/jiot.2018.2883344
📊 Citations: 236
🔓 Closed

Abstract:
Software defined Internet of Things (SD-IoT) networks profit from centralized…Read More

Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing
👨‍🔬 Zhi Zhou, Xu Chen, En Li, Liekang Zeng, Ke Luo, Junshan Zhang
📅 2019-06-12
📖
🔗 DOI: https://doi.org/10.1109/jproc.2019.2918951
📊 Citations: 2061
🔓 Open Access

Abstract:
With the breakthroughs in deep learning, the recent…Read More

A Survey of AI-Based Anomaly Detection in IoT and Sensor Networks
👨‍🔬 Kyle DeMedeiros, Abdeltawab Hendawi, Marco Álvarez
📅 2023-01-25
📖
🔗 DOI: https://doi.org/10.3390/s23031352
📊 Citations: 123
🔓 Open Access

Abstract:
Machine learning (ML) and deep learning (DL), in particular, are common tools for anomaly…Read More

AI-empowered, blockchain and SDN integrated security architecture for IoT network of cyber physical systems
👨‍🔬 Sohaib Latif, Fang B. Xian Wen, Celestine Iwendi, Li-li F. Wang, Syed Muhammad Mohsin, Zhaoyang Han, Shahab S. Band
📅 2021-10-12
📖
🔗 DOI: https://doi.org/10.1016/j.comcom.2021.09.029
📊 Citations: 203
🔓…Read More

Data traffic management in AI-IoT network to reduce congestion
👨‍🔬 Muhammad Usama, Ubaid Ullah, Zaid Muhammad, Muhammad Bux, Inam Ullah, Muhammad Rouf, Taminul Islam
📅 2024-06-20
📖
🔗 DOI: https://doi.org/10.1201/9781003496410-10
📊 Citations: 6
🔓 Closed

Abstract:
As the artificial intelligence–internet of t…Read More

AI-Based Two-Stage Intrusion Detection for Software Defined IoT Networks
👨‍🔬 Jiaqi Li, Zhifeng Zhao, Rongpeng Li, Honggang Zhang
📅 2018-11-26
📖
🔗 DOI: https://doi.org/10.1109/jiot.2018.2883344
📊 Citations: 236
🔓 Closed

Abstract:
Software defined Internet of Things (SD-IoT) networks profit from centralized…Read More

Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing
👨‍🔬 Zhi Zhou, Xu Chen, En Li, Liekang Zeng, Ke Luo, Junshan Zhang
📅 2019-06-12
📖
🔗 DOI: https://doi.org/10.1109/jproc.2019.2918951
📊 Citations: 2060
🔓 Open Access

Abstract:
With the breakthroughs in deep learning, the recent…Read More

A Survey of AI-Based Anomaly Detection in IoT and Sensor Networks
👨‍🔬 Kyle DeMedeiros, Abdeltawab Hendawi, Marco Álvarez
📅 2023-01-25
📖
🔗 DOI: https://doi.org/10.3390/s23031352
📊 Citations: 123
🔓 Open Access

Abstract:
Machine learning (ML) and deep learning (DL), in particular, are common tools for anomaly…Read More

AI-empowered, blockchain and SDN integrated security architecture for IoT network of cyber physical systems
👨‍🔬 Sohaib Latif, Fang B. Xian Wen, Celestine Iwendi, Li-li F. Wang, Syed Muhammad Mohsin, Zhaoyang Han, Shahab S. Band
📅 2021-10-12
📖
🔗 DOI: https://doi.org/10.1016/j.comcom.2021.09.029
📊 Citations: 203
🔓…Read More

Data traffic management in AI-IoT network to reduce congestion
👨‍🔬 Muhammad Usama, Ubaid Ullah, Zaid Muhammad, Muhammad Bux, Inam Ullah, Muhammad Rouf, Taminul Islam
📅 2024-06-20
📖
🔗 DOI: https://doi.org/10.1201/9781003496410-10
📊 Citations: 6
🔓 Closed

Abstract:
As the artificial intelligence–internet of t…Read More

AI-Based Two-Stage Intrusion Detection for Software Defined IoT Networks
👨‍🔬 Jiaqi Li, Zhifeng Zhao, Rongpeng Li, Honggang Zhang
📅 2018-11-26
📖
🔗 DOI: https://doi.org/10.1109/jiot.2018.2883344
📊 Citations: 236
🔓 Closed

Abstract:
Software defined Internet of Things (SD-IoT) networks profit from centralized…Read More

Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing
👨‍🔬 Zhi Zhou, Xu Chen, En Li, Liekang Zeng, Ke Luo, Junshan Zhang
📅 2019-06-12
📖
🔗 DOI: https://doi.org/10.1109/jproc.2019.2918951
📊 Citations: 2060
🔓 Open Access

Abstract:
With the breakthroughs in deep learning, the recent…Read More

A Survey of AI-Based Anomaly Detection in IoT and Sensor Networks
👨‍🔬 Kyle DeMedeiros, Abdeltawab Hendawi, Marco Álvarez
📅 2023-01-25
📖
🔗 DOI: https://doi.org/10.3390/s23031352
📊 Citations: 123
🔓 Open Access

Abstract:
Machine learning (ML) and deep learning (DL), in particular, are common tools for anomaly…Read More

AI-empowered, blockchain and SDN integrated security architecture for IoT network of cyber physical systems
👨‍🔬 Sohaib Latif, Fang B. Xian Wen, Celestine Iwendi, Li-li F. Wang, Syed Muhammad Mohsin, Zhaoyang Han, Shahab S. Band
📅 2021-10-12
📖
🔗 DOI: https://doi.org/10.1016/j.comcom.2021.09.029
📊 Citations: 203
🔓…Read More

Data traffic management in AI-IoT network to reduce congestion
👨‍🔬 Muhammad Usama, Ubaid Ullah, Zaid Muhammad, Muhammad Bux, Inam Ullah, Muhammad Rouf, Taminul Islam
📅 2024-06-20
📖
🔗 DOI: https://doi.org/10.1201/9781003496410-10
📊 Citations: 6
🔓 Closed

Abstract:
As the artificial intelligence–internet of t…Read More

AI-Based Two-Stage Intrusion Detection for Software Defined IoT Networks
👨‍🔬 Jiaqi Li, Zhifeng Zhao, Rongpeng Li, Honggang Zhang
📅 2018-11-26
📖
🔗 DOI: https://doi.org/10.1109/jiot.2018.2883344
📊 Citations: 236
🔓 Closed

Abstract:
Software defined Internet of Things (SD-IoT) networks profit from centralized…Read More

Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing
👨‍🔬 Zhi Zhou, Xu Chen, En Li, Liekang Zeng, Ke Luo, Junshan Zhang
📅 2019-06-12
📖
🔗 DOI: https://doi.org/10.1109/jproc.2019.2918951
📊 Citations: 2060
🔓 Open Access

Abstract:
With the breakthroughs in deep learning, the recent…Read More

A Survey of AI-Based Anomaly Detection in IoT and Sensor Networks
👨‍🔬 Kyle DeMedeiros, Abdeltawab Hendawi, Marco Álvarez
📅 2023-01-25
📖
🔗 DOI: https://doi.org/10.3390/s23031352
📊 Citations: 123
🔓 Open Access

Abstract:
Machine learning (ML) and deep learning (DL), in particular, are common tools for anomaly…Read More

AI-empowered, blockchain and SDN integrated security architecture for IoT network of cyber physical systems
👨‍🔬 Sohaib Latif, Fang B. Xian Wen, Celestine Iwendi, Li-li F. Wang, Syed Muhammad Mohsin, Zhaoyang Han, Shahab S. Band
📅 2021-10-12
📖
🔗 DOI: https://doi.org/10.1016/j.comcom.2021.09.029
📊 Citations: 203
🔓…Read More

Data traffic management in AI-IoT network to reduce congestion
👨‍🔬 Muhammad Usama, Ubaid Ullah, Zaid Muhammad, Muhammad Bux, Inam Ullah, Muhammad Rouf, Taminul Islam
📅 2024-06-20
📖
🔗 DOI: https://doi.org/10.1201/9781003496410-10
📊 Citations: 6
🔓 Closed

Abstract:
As the artificial intelligence–internet of t…Read More

AI-Based Two-Stage Intrusion Detection for Software Defined IoT Networks
👨‍🔬 Jiaqi Li, Zhifeng Zhao, Rongpeng Li, Honggang Zhang
📅 2018-11-26
📖
🔗 DOI: https://doi.org/10.1109/jiot.2018.2883344
📊 Citations: 236
🔓 Closed

Abstract:
Software defined Internet of Things (SD-IoT) networks profit from centralized…Read More

Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing
📅 2019-06-12
📖
🔗 DOI: https://doi.org/10.1109/jproc.2019.2918951
📊 Citations: 2060
🔓 Open Access

Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing

A Survey of AI-Based Anomaly Detection in IoT and Sensor Networks
📅 2023-01-25
📖
🔗 DOI: https://doi.org/10.3390/s23031352
📊 Citations: 123
🔓 Open Access

A Survey of AI-Based Anomaly Detection in IoT and Sensor Networks

AI-empowered, blockchain and SDN integrated security architecture for IoT network of cyber physical systems
📅 2021-10-12
📖
🔗 DOI: https://doi.org/10.1016/j.comcom.2021.09.029
📊 Citations: 203
🔓 Closed

AI-empowered, blockchain and SDN integrated security architecture for IoT network of cyber physical…

Data traffic management in AI-IoT network to reduce congestion
📅 2024-06-20
📖
🔗 DOI: https://doi.org/10.1201/9781003496410-10
📊 Citations: 6
🔓 Closed

Data traffic management in AI-IoT network to reduce congestion

AI-Based Two-Stage Intrusion Detection for Software Defined IoT Networks
📅 2018-11-26
📖
🔗 DOI: https://doi.org/10.1109/jiot.2018.2883344
📊 Citations: 236
🔓 Closed

AI-Based Two-Stage Intrusion Detection for Software Defined IoT Networks

Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing
📅 2019-06-12
📖
🔗 DOI: https://doi.org/10.1109/jproc.2019.2918951
📊 Citations: 2060
🔓 Open Access

Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing

A Survey of AI-Based Anomaly Detection in IoT and Sensor Networks
📅 2023-01-25
📖
🔗 DOI: https://doi.org/10.3390/s23031352
📊 Citations: 123
🔓 Open Access

A Survey of AI-Based Anomaly Detection in IoT and Sensor Networks

AI-empowered, blockchain and SDN integrated security architecture for IoT network of cyber physical systems
📅 2021-10-12
📖
🔗 DOI: https://doi.org/10.1016/j.comcom.2021.09.029
📊 Citations: 203
🔓 Closed

AI-empowered, blockchain and SDN integrated security architecture for IoT network of cyber physical…

Data traffic management in AI-IoT network to reduce congestion
📅 2024-06-20
📖
🔗 DOI: https://doi.org/10.1201/9781003496410-10
📊 Citations: 6
🔓 Closed

Data traffic management in AI-IoT network to reduce congestion

AI-Based Two-Stage Intrusion Detection for Software Defined IoT Networks
📅 2018-11-26
📖
🔗 DOI: https://doi.org/10.1109/jiot.2018.2883344
📊 Citations: 236
🔓 Closed

AI-Based Two-Stage Intrusion Detection for Software Defined IoT Networks

The evolution of broadcast technology has shifted live video contribution from satellite and dedicated fiber links to flexible, software-driven IP networks. One of the most representative systems of this transformation is TVU One, a portable live video transmitter designed for reliable, low-latency broadcasting over heterogeneous and unstable…Read More

TVU One Technology Explained: Live IP Video Broadcasting Over Bonded Cellular Networks – Only For Tech

In-depth technical explanation of TVU One technology, including architecture, OSI model mapping, protocols, bonded cellular networking, and low-latency live IP video broadcasting.

onlyfor.tech

installation scheme for parabolic antenna + UHF/VHF antenna combined into one TV distribution network.

Electrical engineer Eldo C. Koenig operating an AC network analyzer¹ analog computer² he designed at the Electrical Department of the Allis-Chalmers Manufacturing Company 1951.
From 1929 to the late 1960s, large alternating current power systems³ were modelled and studied on AC network analyzers or transient network analyzers. They were also ca…Read More