Recent Lightweight cryptography (LWC) based security advances for resource-constrained IoT networks

Wireless Networks, Journal Year: 2024, Volume and Issue: 30(4), P. 2987 - 3026

Published: March 25, 2024

Language: Английский

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Aspects of 6th generation sensing technology: from sensing to sense

Frontiers in Nanotechnology, Journal Year: 2024, Volume and Issue: 6

Published: July 11, 2024

The 6th-generation (6G) sensing technology is transforming the ways we perceive and interact with world in real scenarios. It combines advanced materials, sophisticated algorithms, connectivity to create intelligent, context-aware systems that can interpret respond environmental stimuli unprecedented accuracy speed. key advancements include 1) ultra-sensitive sensors capable of detecting physical, chemical, biological changes at low concentrations, 2) integration artificial intelligence (AI) machine learning (ML) for enhanced data processing, 3) deployment IoT networks 5 th -generation (5G) seamless transmission real-time analysis. These cutting-edge technologies immersive environments where devices capture anticipate user needs conditions. 6G has potential applications across sectors like point-of-care (PoC), healthcare, urban planning, monitoring. transition from sense-making represents a paradigm shift, fostering more intuitive, responsive, interconnected world. article provides comprehensive overview current state prospects technology, highlighting its transformative challenges realizing full capabilities.

Language: Английский

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Energy-Efficient Distributed Edge Computing to Assist Dense Internet of Things

Future Internet, Journal Year: 2025, Volume and Issue: 17(1), P. 37 - 37

Published: Jan. 15, 2025

The Internet of Things (IoT) represents a rapidly growing field, where billions intelligent devices are interconnected through the Internet, enabling seamless sharing data and resources. These smart typically employed to sense various environmental characteristics, including temperature, motion objects, occupancy, transfer their values nearest access points for further analysis. exponential growth in sensor availability deployment, powered by recent advances fabrication, has greatly increased complexity IoT network architecture. As market these sensors grows, so does problem ensuring that networks meet high requirements availability, dependability, flexibility, scalability. Unlike traditional networks, systems must be able handle massive amounts generated frequently-used resource-constrained devices, while efficient dependable communication. This puts constraints on design IoT, mainly terms required reliability, To this end, work considers deploying technology distributed edge computing enable applications over dense with announced requirements. proposed depends at two levels: multiple fog computing. structure increases scalability, model energy nodes introduced. An energy-offloading method is considered manage energy, efficiently. developed was evaluated using testbed. Heterogeneous evaluation scenarios metrics were considered. achieved higher efficiency 19%, resource utilization 54%, latency 86%, reduced congestion 92% compared networks.

Language: Английский

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Cost-Effective and Energy-Efficient Photonics-Based Frequency Hopping by Single Wavelength-Tunable Laser for Secure THz Communication

Photonics, Journal Year: 2025, Volume and Issue: 12(1), P. 76 - 76

Published: Jan. 16, 2025

A photomixing-based frequency-hopping spread spectrum (FHSS) system is effective for future secure terahertz (THz) wireless communications. Conventional photomixing systems are typically composed of two lasers, which result in an increased size and power consumption. To address this issue, we applied our proposed THz wave generation method, using a single wavelength-tunable laser, to the FHSS system. In experiments, successfully demonstrated J-band (220–330 GHz) with frequency-hopped interval 400 ns.

Language: Английский

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Deep learning technology: enabling safe communication via the internet of things

Frontiers in Communications and Networks, Journal Year: 2025, Volume and Issue: 6

Published: Feb. 4, 2025

Introduction The Internet of Things (IoT) is a new technology that connects billions devices. Despite offering many advantages, the diversified architecture and wide connectivity IoT make it vulnerable to various cyberattacks, potentially leading data breaches financial loss. Preventing such attacks on ecosystem essential ensuring its security. Methods This paper introduces software-defined network (SDN)-enabled solution for vulnerability discovery in systems, leveraging deep learning. Specifically, Cuda-deep neural (Cu-DNN), Cuda-bidirectional long short-term memory (Cu-BLSTM), Cuda-gated recurrent unit (Cu-DNNGRU) classifiers are utilized effective threat detection. approach includes 10-fold cross-validation process ensure impartiality findings. most recent publicly available CICIDS2021 dataset was used train hybrid model. Results proposed method achieves an impressive recall rate 99.96% accuracy 99.87%, demonstrating effectiveness. model also compared benchmark classifiers, including Cuda-Deep Neural Network, Cuda-Gated Recurrent Unit, (Cu-DNNLSTM Cu-GRULSTM). Discussion Our technique outperforms existing based evaluation criteria as F1-score, speed efficiency, accuracy, precision. shows strength detection highlights potential combining SDN with learning assessment.

Language: Английский

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A secure authentication and optimization based device-to-device communication for 5G enabled IoT applications of smart cities

Wireless Networks, Journal Year: 2025, Volume and Issue: unknown

Published: March 6, 2025

Language: Английский

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Autonomic Cloud Computing: Research Perspective

Published: Jan. 1, 2025

Language: Английский

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Cyber Security Risk Analysis of IoT Ecosystem

Published: Feb. 21, 2025

Language: Английский

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A Transparent and Flexible Absorber for Electromagnetic Interference Suppression, Designed for 5G Communication and Sub-6G Applications

Electronics, Journal Year: 2025, Volume and Issue: 14(7), P. 1350 - 1350

Published: March 28, 2025

As 5G technology rapidly advances, the extension of spectrum into millimeter-wave bands enables higher data speeds and reduced latency. However, this frequency expansion introduces significant electromagnetic interference (EMI) issues, particularly in environments with dense equipment base stations. To tackle these challenges, paper presents a multilayer transparent ultra-wideband microwave absorber (MA) using indium tin oxide (ITO) that operates between 4 26 GHz. This optimized MA design successfully achieves absorption from 4.07 to 25.07 GHz, encompassing both Sub-6 GHz n258 bands, relative bandwidth 144% minimal thickness 0.129λL (where λL is free-space wavelength at lowest cutoff frequency). For TE TM polarization incidence angles ranging 0° 45°, demonstrates exceptional performance, maintaining exceeding 120%. Notably, for 60° 70°, can sustain an capacity greater than 100%. By integrating principles impedance matching, surface current theory, equivalent circuit simulation fitting, mechanism further analyzed, thereby confirming reliability design. offers wideband absorption, optical transparency, wide-angle characteristics, demonstrating great potential applications stealth, EMI suppression, compatibility (EMC) communications.

Language: Английский

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Forensics and security issues in the Internet of Things

Wireless Networks, Journal Year: 2025, Volume and Issue: unknown

Published: March 27, 2025

Language: Английский

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