The Fabrication of High-Anisotropy Silicon Nanowires Based on MACE Method for Photonic Sensor

Mohamedyaseen, A.; Kumar, Pardeep

doi:10.1007/s12633-022-01751-2

Cited by 4 publications

(2 citation statements)

References 32 publications

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“…Enforcing password policy is able to detect unauthorized users, but not able to help the device from being broken into. The intrusion detection system (IDS) analyzes a multitude of system and network effects, while preparing for and fighting off attacks [11].…”

Section: Existing Algorithm For Detection In Wireless Networkmentioning

confidence: 99%

Optimized Framework for Intrusion Detection Using Data Mining Techniques in Wireless Lan With Deep Learning Techniques

2022

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The developments of technology and computer digital systems are now pervasive across the globe and the world has rendered an invisible and unviable from day to day existence. The detailed assessment details of Mobile and Pervasive Computing applied to electrical and electronic devices, which are intangible and considering the context of evolutionary theory that refers to them as pervasive environments. The urban development concept, the future will be a connected web of networked computers and models of integrated networks system. Due to their broad usage in metropolitan environments, the significant mobile devices have been enriched the urban planning strategy of ubiquitous computing, which is designed for the urban growth. According to the action plan, the data mining tools will be employed to assist the IDS building efforts in order to help alleviate these issues. This has found that the Intrusion Detection technologies have been used in conjunction with data mining strategies to spot attacks in the system. An Intrusion Detection System is used to control the network operations, used to track and filter out the unwanted data with decision tree. The mobile crowd sourcing technologies were applied to smart environments; the world by integrating and coordinating all of the technology resources. These algorithms are evaluated for their use in discovering the unknown attacks in the mobile communication systems.

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Section: Existing Algorithm For Detection In Wireless Networkmentioning

confidence: 99%

Optimized Framework for Intrusion Detection Using Data Mining Techniques in Wireless Lan With Deep Learning Techniques

2022

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“…During the past two decades, Silicon nanowires (SiNWs) have gained considerable attention due to their unique chemical and physical properties [21][22][23][24]. The confluence of the confinement of one-dimensional nanostructure with the plasmonic effect of metallic nanoparticles makes the best use of the SiNWs in sub nano dimensions.…”

Section: Introductionmentioning

confidence: 99%

Broadband nanoplasmonic photodetector fabricated in ambient condition

Banerjee

Asuo²,

Fortier³

et al. 2022

Nano Ex.

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Surface plasmon are widely used to promote the exciton generation and light absorption in solar cells and photodetectors. In this work, a feasible approach for UV-VIS-NIR photodetection using plasmon-enhanced silicon nanowires (SiNWs) and amorphous TiO2 heterostructure is presented. The photodetector shows excellent photo response up to 3.3 orders of magnitude enhancement with rise/decay times of 77/51 µs. Under small external bias (1V), the photodetector exhibits very high responsivity up to 49 A/W over a broadband wavelength range from 300-1100 nm. All the experimental procedures are performed at room temperature in ambient conditions. Its simple fabrication route and excellent performance make this photodetector distinct from similar architectures. Our finding offers new opportunities to engineer plasmon-based nanostructures in chemical sensors, optoelectronics and nanophotonic devices and applications.

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