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- 저자 : Vartika Sharma (검색결과 2 건)
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Vartika Shah,Sanjiv Sharma 보안공학연구지원센터 2014 International Journal of Grid and Distributed Comp Vol.7 No.5
Wireless sensor network (WSN) is a collection of densely deployed sensor nodes. These nodes are prone to attack and also resource constrained. Resource accountability is also required for Security implementation in WSN. Some researchers proposed different methods, algorithms and frameworks for WSN security implementation. SPINS is a framework for implementing overall security in WSN using SNEP (Sensor Network Encryption Protocol) and μTESLA (the “micro” version of the Timed, Efficient, Streaming, Loss-tolerant Authentication Protocol) protocol. Existing research works reveal that SNEP employed RC5 encryption algorithm for WSN. This paper analyzed efficient encryption algorithm XTEA for SNEP & evaluate that it is better as compare to RC5 in terms of energy, storage and time.
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Savan K. Raj,Vartika Sharma,Anshul Yadav,Pankaj D. Indurkar,Vaibhav Kulshrestha 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.117 No.-
Materials with ultrahigh adsorption competences are extensively required for effective wastewaterremediation. Unfortunately, leaching and agglomeration of nanomaterial-based adsorbents is a commonproblem to be resolved. Carbon-based hybrid nanocomposite showing enormous capability in the field ofwastewater treatment. Arsenic and fluoride in water have unpropitious effects on people’s health, andremediation of these ions through adsorption is one of the foremost challenges and high priority tothe research. The present study deals with fabricating a novel composite using alumina wrapped carbonmicrospheres (Al-CMs) with high adsorption capacities and investigating the mechanism for removingpentavalent arsenic/arsenate (As(V)) and fluoride (F) at the molecular level. The maximum adsorptioncapacities for As(V) and F calculated from the Langmuir model are 68 and 371.1 mg/g, respectively, comparativelyhigher than other reported nano-adsorbents. Under optimized conditions, Al-CMs are able toremove more than 98% of F and As(V) under wide range of pH (2–12). Further, the interaction energy ofAl-CMs with F and As(V) was examined using density functional theory (DFT). The reported work exhibitsa feasible adsorbent for removing F and As(V) from the wastewater.
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