Impact of Structural Aspect, Metal Gate and Channel Material on UTB-SOI-MOSFET

,; Nanda*, Pradip Kumar; Das, Shiva Prasad; ,; Panda, Soumya Ranjan; ,; Singh, Debabrata; ,

doi:10.35940/ijitee.a4643.119119

IJITEE

2019

DOI: 10.35940/ijitee.a4643.119119

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Impact of Structural Aspect, Metal Gate and Channel Material on UTB-SOI-MOSFET

Pradip Kumar Nanda*,

Shiva Prasad Das,

Soumya Ranjan Panda

et al.

Abstract: Ultra Thin Body Silicon on Insulator Metal Oxide Semiconductor Field Effect Transistors (UTB-SOI-MOSFETs) provide better immunity to Short Channel Effects (SCEs). But the behaviour changes at miniaturization and still the many unexplored effects need to be analysied. Here in this paper, Drain Induced Barrier Lowering (DIBL) and sub-threshold Slope (SS) variation of a n-channel UTB-SOI-MOSFET have been analyzed by changing the device structural aspects like gate length (LG), BOX thickness (tBOX) and Silicon fil… Show more

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Juice Jacking: Security Issues and Improvements in USB Technology

et al. 2022

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For a reliable and convenient system, it is essential to build a secure system that will be protected from outer attacks and also serve the purpose of keeping the inner data safe from intruders. A juice jacking is a popular and spreading cyber-attack that allows intruders to get inside the system through the web and theive potential data from the system. For peripheral communications, Universal Serial Bus (USB) is the most commonly used standard in 5G generation computer systems. USB is not only used for communication, but also to charge gadgets. However, the transferal of data between devices using USB is prone to various security threats. It is necessary to maintain the confidentiality and sensitivity of data on the bus line to maintain integrity. Therefore, in this paper, a juice jacking attack is analyzed, using the maximum possible means through which a system can be affected using USB. Ten different malware attacks are used for experimental purposes. Various machine learning and deep learning models are used to predict malware attacks. An extensive experimental analysis reveals that the deep learning model can efficiently recognize the juice jacking attack. Finally, various techniques are discussed that can either prevent or avoid juice jacking attacks.

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Juice Jacking: Security Issues and Improvements in USB Technology

et al. 2022

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Impact of Structural Aspect, Metal Gate and Channel Material on UTB-SOI-MOSFET

Cited by 1 publication

References 16 publications

Juice Jacking: Security Issues and Improvements in USB Technology

Juice Jacking: Security Issues and Improvements in USB Technology

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