Faculty Publications

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Publications by NITK Faculty

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    Intrusion Detection Techniques for Detection of Cyber Attacks
    (Springer Science and Business Media Deutschland GmbH, 2021) Ahmed, S.S.; Kankar, M.; Rudra, B.
    Intrusion detection system (IDS) is a software-related application where we can detect the system or network activities and notice if any suspicious task happens. Excellent broadening and the use of the Internet lift examine the communication and save the digital information securely. Nowadays, attackers use variety of attacks for fetching private data. Most of the IDS techniques, algorithms, and methods assist to find those various attacks. The central aim of the project is to come up with an overall study about the intrusion detection mechanism, various types of attacks, various tools and techniques, and challenges. We used various machine learning algorithms and found performance metrics like accuracy, recall, and F-measure and compared with the existing work. After this research, we got good results that can help to detect the cyber attacks being performed in the network. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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    Artificial neural networks model for the prediction of steady state phenol biodegradation in a pulsed plate bioreactor
    (2008) Shetty K, K.V.; Nandennavar, S.; Srinikethan, G.
    Background: A recent innovation in fixed film bioreactors is the pulsed plate bioreactor (PPBR) with immobilized cells. The successful development of a theoretical model for this reactor relies on the knowledge of several parameters, which may vary with the process conditions. It may also be a time-consuming and costly task because of their nonlinear nature. Artificial neural networks (ANN) offer the potential of a generic approach to the modeling of nonlinear systems. Results: A feedforward ANN based model for the prediction of steady state percentage degradation of phenol in a PPBR by immobilized cells of Nocardia hydrocarbonoxydans (NCIM 2386) during continuous biodegradation has been developed to correlate the steady state percentage degradation with the flow rate, influent phenol concentration and vibrational velocity (amplitude x frequency). The model used two hidden layers and 53 parameters (weights and biases). The network model was then compared with a Multiple Regression Analysis (MRA) model, derived from the same training data. Further these two models were used to predict the percentage degradation of phenol for blind test data. Conclusions: The performance of the ANN model was superior to that of the MRA model and was found to be an efficient data-driven tool to predict the performance of a PPBR for phenol biodegradation. © 2008 Society of Chemical Industry.
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    Steam as coolant and lubricant in turning of metal matrix composites
    (2008) Shetty, R.; Pai B, R.B.; Kamath, V.; Rao, S.S.
    Green cutting has become focus of attention in ecological and environmental protection. Steam is cheap, pollution-free and eco-friendly, and then is a good and economical coolant and lubricant. Steam generator and steam feeding system were developed to generate and feed steam. Comparative experiments were carried out in cutting AA6061-15 vol.% SiC (25 ?m particle size), with cubic boron nitride (CBN) insert KB-90 grade under the conditions of compressed air, oil water emulsion, steam as coolant and lubricant, and dry cutting, respectively. The experimental results show that, with steam as coolant and lubricant, gradual reduction in the cutting force, friction coefficient, surface roughness and cutting temperature values were observed. Further, there was reduction in built up edge formation. It is proved that use of water steam as coolant and lubricant is environmentally friendly. © 2008 Zhejiang University and Springer-Verlag GmbH.
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    ModQUIC protocol performance verification with CUBIC and BBR congestion control mechanisms
    (Inderscience Publishers, 2021) Kharat, P.; Kulkarni, M.
    ModQUIC protocol is developed to compete for TCP’s dominance. In this work, ModQUIC protocol performance is evaluated using the BBR protocol and suggested a new decrease factor (?) for CUBIC protocol. Results show that ModQUIC with BBR outperforms ModQUIC with CUBIC and QUIC with CUBIC and BBR. To verify the performance of ModQUIC, a chromium server-client model-based testbed is created. The experiment result shows that throughput, delay and data rate performance of ModQUIC with BBR is superior. The performance is tested for limited and sufficient link bandwidth in presence of loss. The result analysis shows that throughput with ModQUIC/BBR improved by 6.8%, 19.06% and 27.9% over ModQUIC/CUBIC, QUIC/BBR and QUIC/CUBIC respectively whereas, a delay is reduced by 8.02%, 6.56% and 14.38% over ModQUIC/CUBIC, QUIC/BBR and QUIC/CUBIC, respectively. Overall observations conclude that the performance of ModQUIC/BBR is improved and stable as compared to ModQUIC/CUBIC, QUIC/BBR and QUIC/CUBIC. © © 2021 Inderscience Enterprises Ltd.