Thapar University

About: Thapar University is a education organization based out in Patiāla, Punjab, India. It is known for research contribution in the topics: Cloud computing & Fuzzy logic. The organization has 2944 authors who have published 8558 publications receiving 130392 citations.

Feasibility of using combined TiO2 photocatalysis and RBC process for the treatment of real pharmaceutical wastewater

Abstract: The present study deals with the treatment of real pharmaceutical wastewater using photocatalysis followed by biological process. Actually feasibility studies in terms of Biodegradability Index (B.I.) were undertaken to see the efficacy of biological treatment, subsequent to photocatalytic treatment. The B.I. of the studied effluent came out to be 0.178 which was subsequently raised to 0.510 using photocatalysis as a primary treatment. Optimization for the photocatalytic process was conducted using BBD. The optimum values of parameters were found to be TiO2 dose = 0.6 g/L, pH = 3.20, t = 455 min. Experimentally% degradation at optimum conditions was found to be 63.7% which was very close to the suggested value of 67.02%.Analysis by GC–MS suggested the formation of short chained compounds after the photocatalytic treatment. Toxicity assay and B.I. confirmed the non toxicity and biodegradability of wastewater after photocatalytic treatment, respectively. The experimental data showed a reasonably good expression of second order kinetics. Biological treatment was followed by using Rotating Biological Contractor (RBC) for further degrading the COD, BOD to the limits according to standards suggested by concerned authorities. Overall% degradation efficiency of combined photocatalysis and biological process was 96.5% of which 67% corresponded to the photocatalysis and remaining 30% to the biological RBC.

Biodegradable thermoresponsive polymeric magnetic nanoparticles: a new drug delivery platform for doxorubicin

Abstract: The use of nanoparticles as drug delivery systems for anticancer therapeutics has great potential to revolutionize the future of cancer therapy. The aim of this study is to construct a novel drug delivery platform comprising a magnetic core and biodegrad- able thermoresponsive shell of tri-block-copolymer. Oleic acid-coated Fe3O4 nanoparticles and hydrophilic anticancer drug ''doxorubicin'' are encapsulated with PEO-PLGA-PEO (polyethylene oxide-poly D, L lac- tide-co-glycolide-polyethylene oxide) tri-block- copolymer. Structural, magnetic, and physical proper- ties of Fe3O4 core are determined by X-ray diffraction, vibrating sample magnetometer, and transmission electron microscopy techniques, respectively. The hydrodynamic size of composite nanoparticles is determined by dynamic light scattering and is found to be *36.4 nm at 25 C. The functionalization of magnetic core with various polymeric chain molecules and their weight proportions are determined by Fourier transform infrared spectroscopy and thermogravimet- ric analysis, respectively. Encapsulation of doxorubi- cin into the polymeric magnetic nanoparticles, its loading efficiency, and kinetics of drug release are investigated by UV-vis spectroscopy. The loading efficiency of drug is 89% with a rapid release for the initial 7 h followed by the sustained release over a period of 36 h. The release of drug is envisaged to occur in response to the physiological temperature by deswelling of thermoresponsive PEO-PLGA-PEO block-copolymer. This study demonstrates that tem- perature can be exploited successfully as an external parameter to control the release of drug.

Design of an Anonymity-Preserving Group Formation Based Authentication Protocol in Global Mobility Networks

Abstract: Remote user authentication without compromising user anonymity is an emerging area in the last few years. In this paper, we propose a new anonymity preserving mobile user authentication scheme for the global mobility networks (GLOMONETs). We also propose a new anonymity preserving group formation phase for roaming services in GLOMONETs that meets the extended anonymity requirement without compromising any standard security requirements. We provide the security analysis using the widely-accepted Burrows-Abadi-Needham logic and informal analysis for the proposed scheme to show that it is secure against possible well-known attacks, such as replay, man-in-the-middle, impersonation, privileged-insider, stolen smart card, ephemeral secret leakage, and password guessing attacks. In addition, the formal security verification with the help of the broadly accepted automated validation of internet security protocols and applications software simulation tool is tested on the proposed scheme and the simulation results confirm that the proposed scheme is safe. Moreover, the comparative study of the proposed scheme with other relevant schemes reveals that it performs well as compared to other techniques.

Lattice-Based Public Key Cryptosystem for Internet of Things Environment: Challenges and Solutions

Abstract: Due to its widespread popularity and usage in many applications (smart transport, energy management, ${e}$ -healthcare, smart ecosystem, and so on), the Internet of Things (IoT) has become popular among end users over the last few years. However, with an exponential increase in the usage of IoT technologies, we have been witnessing an increase in the number of cyber attacks on the IoT environment. An adversary can capture the private key shared between users and devices and can launch various attacks, such as IoT ransomware, Mirai botnet, man-in-the-middle, denial of service, chosen plaintext, and chosen ciphertext. To mitigate these security attacks on the IoT environment, the traditional public key cryptographic primitives are inadequate because of their high computational and communication costs. Therefore, lattice-based public-key cryptosystem (LB-PKC) is a promising technique for secure communication. We discuss the taxonomy of two major problems, namely, the shortest path and the closest path problems with respect to the applicability of lattice-based cryptographic primitives for IoT devices. Moreover, we also discuss various LB-PKC techniques, such as NTRU, learning with errors (LWEs), and ring-LWE (R-LWE) which are often used to solve shortest path and lattice NP-hard problems in a polynomial time. We further classify the R-LWE into three categories, namely identity-based encryption, homomorphic encryption, and secure authentication key exchange. We describe the operations and algorithms adopted in each of these encryption mechanisms. Finally, we discuss the challenges, open issues, and future directions for applying LB-PKC in the IoT environment.