Faculty Publications
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Publications by NITK Faculty
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Item Stride-based threat modeling for blockchain-based healthcare supply chain management system(Bentham Science Publishers, 2025) Harish, S.V.; Chandrasekaran, K.; Rathnamma; Divakarla, U.; Ramana, V.The increasing use of blockchain technology in supply chain management has made it imperative to understand the possible security risks associated with its implementation. This research aims to identify important security issues related to supply chain management's use of blockchain technology by doing a thorough analysis of the body of existing literature and looking at actual cases of blockchain deployments. These dangers include the possibility of data privacy breaches, smart contract weaknesses, and 51% attack vulnerability. The report also offers suggestions for reducing these risks, including using multi-factor authentication, regularly carrying out security audits, and enforcing strict access rules. The study's conclusions broaden our knowledge of the security risks associated with blockchain-based supply chain management (BC-SCM) and offer useful guidance to companies thinking about implementing this technology. © 2025 Bentham Science Publishers. All rights reserved.Item Distributed Adaptive Video Streaming using Inter-Server Data Distribution and Agent-based Adaptive Load Balancing(Institute of Electrical and Electronics Engineers Inc., 2020) Bhowmik, M.; Raghunandan, A.; Rudra, B.As the number and hours of videos available within an organisation increases, as well as it's demand, the need for fast video streaming applications arises. Cloud based services are not cost effective and are not an ideal choice for storing the ever-increasing video data that is usually stored and used only within a particular organisation, like a University. Hence, this paper proposes a web based system design to store and stream videos at a small-scale within an organisation. To improve the video viewing experience for the user, the system is flexible to handle sudden changes, like increase in number of requests. The system requires the use of a cluster of servers to deliver the content as a single server cannot handle the load as number of requests increases. This requires effective load distribution among the servers. This paper proposes a way to design this system for adaptive video streaming. This system is highly scalable and can handle high loads, i.e. a higher number of users connecting to the application simultaneously. This paper proposes an algorithm called inter-server load balancing algorithm with Adaptive Agent-based load balancing to solve this problem. The algorithms also incorporates dynamic video resolution delivery techniques to ensure smooth viewing experience in the whole user experience irrespective of the network speed and bandwidth. © 2020 IEEE.Item Transparency in Content and Source Moderation(Springer, 2023) C, A.R.; D, C.S.; D V, P.; Chandavarkar, B.R.Content moderation is defined as the process of screening and monitoring user-generated content online. To provide a safe environment for both users and brands, platforms must moderate content to ensure that it falls within pre-established guidelines of acceptable behavior specific to the platform and its audience. Many social media companies employ thousands of employees or volunteers to moderate content manually. These moderators discuss the nature of any questionable posts off-site and remove them if they are deemed inappropriate. Certain platforms also employ automated moderation of content through machine learning models. However, many of them often do not give users any or accurate reasons when their posts are taken down. This lack of transparency in moderation can cause users to believe that their posts were evaluated in a biased manner. To increase users’ trust in the unbiased nature of a platform and still allow for extensive and robust content moderation, we propose a novel algorithm in this chapter. An adaptive machine learning model is used as the initial moderation layer, and then users are allowed to moderate posts through a trust-based social network algorithm. Since machine learning models can gradually improve their performance through feedback and feedback is given in a self-policing fashion, the system enforces both accuracy and transparency for content moderation. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.Item A balancing between super transparency and conductivity of solution combustion derived titanium doped indium oxide: Effect of charge carrier density and mobility(Elsevier B.V., 2018) Pujar, P.; Vardhan, R.V.; Gupta, D.; Mandal, S.In this contribution, super transparent (~100%) and conducting In14Ti1O23 (Titanium doped Indium oxide; InTiO) films were reported via solution combustion processing with acetylacetone as fuel. Both bulk-powder and thin film systems were studied and revealed the efficacy of low temperature combustion synthesis which yielded crystalline InTiO powder at 150 °C and its film counterpart had shown pronounced crystalinity with temperature. Also, all films with varying annealing temperature were smooth with rms value ranging from 0.29 nm to 1.9 nm. In addition, the charge carrier density in all films found to be of the order 1019 cm?3, possessing highest transparency nearly equals to uncoated glass at an annealing temperature of 350 °C having maximum of ~67% metal-oxygen-metal framework (or lattice oxygen) confirmed via X-ray photoelectron spectroscopy. Also, the highest conductivity of 20 S/cm at an annealing temperature of 450 °C clearly conveyed the potential of solution combustion processing in the fabrication of ultra-transparent InTiO films with no sophistication in the film fabrication. © 2018Item Preparation of thermally deposited Cux(ZnS)1-x thin films for opto-electronic devices(Elsevier Ltd, 2019) Barman, B.; Bangera, K.V.; Shivakumar, G.K.Zinc sulfide thin films have been doped with copper atoms to investigate their efficiency as transparent conductor layers. Cux(ZnS)1-x thin films were deposited on glass substrate using thermal evaporation technique by varying the Cu concentration (x = 0.01, 0.02, 0.03, 0.05, 0.10 and 0.25). The prepared thin films were characterized using XRD, FE-SEM, EDS and UV–Vis spectroscopy. The X-ray diffraction studies revealed that the films are crystalline in nature and well oriented along (111) direction with the cubic crystal structure. Crystallite size increases with increase in Cu concentration. FE-SEM studies showed that the films are homogenous and pin-hole free. All the films exhibited p-type conductivity. It was also observed that the band gap of the Cux(ZnS)1-x films vary from 3.48 eV to 2.60 eV when the copper content varies from 0 to 0.25. At a Cu concentration of x = 0.03, the hole conductivity increases to 1.9 × 103 S/m retaining an optical transparency of ?73% in the visible spectra. This combination of optical transparency and hole conductivity of Cux(ZnS)1-x thin films for such low Cu concentration is, to our knowledge, the best reported to date. © 2018Item Do Social Media and e-WOM Influence M-Government Services? A Citizen Perspective From India(IGI Global, 2022) Hebbar, S.; Kiran, K.B.In Web 4.0 technologies, social media (SM) has emerged as a prominent tool for the government to interact and engage with citizens. It is also an effective channel for providing government services. However, for effective implementation and its success, it is critical to understand the citizens' perceptions towards the government's use of SM and its impact on mobile government (MG) adoption. Consequently, the study focuses on assessing the impact of SM influence and electronic word of mouth (e-WOM) on MG service parameters such as MG awareness, MG transparency, and MG trust. The results of structural equation modelling revealed the significance of e-WOM on improving MG awareness and trust and SM influence. Further, SM influence had a direct impact only on MG transparency. However, results revealed the importance of SM influence and MG transparency as a mediator for MG trust. Gender and age as moderators are investigated and discussed in detail. © © 2022, IGI Global.