Indraneel Mukhopadhyay

@iem.edu.in

Professor, Computer Science Department
Institute of Engineering & Management



                          

https://researchid.co/imukhopadhyay

"Learning without thinking is labour lost; thinking without learning is perilous''. Confucius, Analects, II, 17.

Sciences Engineering Graduate and a Masters degree in IT from Clark University, USA with nearly 4 years 5 months of experience in Software Industry and around 19 years plus of experience in Education Industry. Capable of providing an educational atmosphere where students have opportunity to fulfill their potential for intellectual, emotional, physical, spiritual and psychological growth. Impressive success in planning, organizing & directing comprehensive educational programs for undergraduates and postgraduates. Comprehensive experience in deploying various methodologies to
analyze as well as initiate modifications to different courses and enable students to have diverse and global path for continued life-long learning. Effective in sourcing & retaining talents, imparting continuous training & career development through academic & industry research and technical assist.

EDUCATION

Harvard Business School certified in Business Analytics 2021
IBM Certified IT Fundamentals in Cyber Security 2020
Chartered Management Institute Level 5 Certified in Management and Leadership, UK, 2019
Doctorate of Philosophy (, in Computer Science & Engineering under Technology from Maulana Abul Kalam Azad University of Technology (Formerly known as West Bengal University of Technology) on “Network Security in Business Application”, 2017

RESEARCH INTERESTS

Network Security
Cyber Security
Management
Block Chain

22

Scopus Publications

364

Scholar Citations

10

Scholar h-index

12

Scholar i10-index

Scopus Publications

  • An Exploratory Study on Factors Affecting Patient Attitude towards Private Clinical Establishments in India


  • Design and Architectural Implementation of Consortium Blockchain Based Framework for Open Banking Customer Consent and Data Handling
    Abir Ghosh, Indraneel Mukhopadhyay, and Subhalaxmi Chakraborty

    Springer Science and Business Media LLC

  • When the going gets tough, the tough gets going - a study on healthcare, societal and financial challenges faced by survivors of COVID-19
    Mitali Sengupta, Arijit Roy, Saikat Gupta, Satyajit Chakrabarti, and Indraneel Mukhopadhyay

    Routledge

  • Knowledge, attitude and practice survey towards COVID-19 vaccination: A mediation analysis
    Mitali Sengupta, Smita Dutta, Arijit Roy, Satyajit Chakrabarti, and Indraneel Mukhopadhyay

    Wiley
    Abstract Background and Aim The COVID‐19 pandemic has significantly impacted human lives across the world. In a country like India, with the second highest population in the world, impact of COVID‐19 has been diverse and multidimensional. Under such circumstances, vaccination against COVID‐19 infection is claimed to be one of the major solutions to contain the pandemic. Understanding of Knowledge, Attitude and Practice (KAP) measures are essential prerequisites to design suitable intervention programs. This paper examines the different KAP factors in Indians towards their decision of vaccine uptake. Method An online questionnaire was administered to Indian respondents. (Pilot study: n = 100, Main study: n = 221) to assess their existing knowledge on COVID‐19 infections and vaccination, attitude and intentions towards COVID‐19 vaccines and their decision towards COVID‐19 vaccine uptake. Result The findings highlighted that existing knowledge on COVID‐19 infections and vaccination directly impacted their attitude and intention towards vaccination. The attitude and intention towards COVID‐19 vaccines directly impacted their practice of undergoing COVID‐19 vaccination. Further, there was a statistically significant and considerably large indirect effect of existing knowledge on COVID‐19 infections and vaccination on the practice of undergoing COVID‐19 vaccination through attitude and intention towards the vaccine. There was no direct effect of Knowledge (existing knowledge on COVID‐19 infections and vaccination) on Practice (decision to undergo COVID‐19 vaccination). Therefore, Attitude and intention towards COVID‐19 vaccine is the primary mediator between Knowledge (existing knowledge on COVID‐19 infections and vaccination) and Practice (decision to undergo COVID‐19 vaccination). Conclusion Participants decision towards COVID‐19 vaccination decisions are strongly related to their attitude and intentions that confirms the strong role of attitude towards success of COVID‐19 vaccination programme. Therefore, ‘person‐centric’ attitude based positive intervention strategies that links their prior knowledge on COVID‐19 infections and vaccination must be designed for greater vaccine acceptance amongst Indians.

  • Art of breaking bad news: A qualitative study in Indian healthcare perspective
    Mitali Sengupta, Arijit Roy, Saikat Gupta, Satyajit Chakrabarti, and Indraneel Mukhopadhyay

    Medknow
    Background: Health-care communication is essential for amiable provider-recipient relationship. This study explored various health-care experiences and expectations of service recipients and providers in private clinical establishments of West Bengal, India, while breaking difficult news, bad news, and death. Aim: The current study was framed with the following research question: What are the varying perceptions, experiences, and expectations of healthcare recipients and their providers while seeking/delivering support in situations of breaking bad news and communications on death? Materials and Methods: The data were collected through individual in-depth interviews-31 respondents that included 16 patients and their families (recipient) and 15 medical practitioners (provider). Inductive thematic analysis was used. Results: Three main themes and nine sub-themes were identified highlighting livid experiences and perceptions of respondents. The findings suggest that interpersonal communications involve language barriers, health literacy and COVID-19 pandemic, situations of sudden unexplained death, perceptual negativity surrounding healthcare, empathy as well as emotions and multiple affiliations leading to ethical moral conflicts to influence individual perception. Regarding treatment attributes, factors of inaccessibility misconceived as incompetence and waiting and contact time are involved. The behavior and personality dimensions include attitude and robustness of the patient party and capability to handle emotions that affect provider-recipient relationship during communications of bad news and death. Conclusion: This study provided a local perspective about the experiences and expectations of healthcare recipients and their providers. Understanding this critical realm shall help in bridging the gap between recipient expectations and provider practices. It will also attempt towards possible alignment to improve patient satisfaction.

  • Cyber Threats Landscape Overview Under the New Normal
    Indraneel Mukhopadhyay

    Springer Nature Singapore

  • Unified by COVID-19 : Healthcare Lessons Learned from USA, China and India


  • Challenges Encountered by Healthcare Providers in COVID-19 Times: An Exploratory Study
    Mitali Sengupta, Arijit Roy, Arnab Ganguly, Kuldeep Baishya, Satyajit Chakrabarti, and Indraneel Mukhopadhyay

    SAGE Publications
    Healthcare establishments are unique and complex. The Indian healthcare system comprises of public and private healthcare establishments. Different challenges are encountered by the healthcare professionals in their daily operations. The sudden emergence of COVID-19 posed a new threat to the already burdened healthcare system. The pandemic changed the healthcare paradox with newer workplace and societal challenges faced by the healthcare personnel. The purpose of this study is to identify the antecedents of workplace and societal challenges faced by the healthcare personnel. Our study conducted in Kolkata and other adjoining areas of West Bengal included respondents who volunteered for individual in-depth interviews. The sample size was kept at n = 20 after due technical considerations. Freelisting and pile sorting was done to generate clusters. The qualitative study identified five constructs with 18 items under workplace challenges and three constructs with five items under societal/community challenges. Workplace challenges included resource availability, adequacy and allocation, financial issues, perceived managerial ineffectiveness, inconsistent guidelines and perceived occupational stress, while societal/community challenges included dread disease, social adaptiveness and challenges related to essential services. A salience threshold was established and the multidimensional scaling provided four major clusters: financial support and sustainability, adaptive resilience, infection risk mitigation and healthcare facility preparedness. Suggestive actions for the identified challenges were summed as enhanced production of diagnostic kits through public–private partnership models and industrial production reforms. Enhanced testing facility for COVID-19 will help to identify new cases. Financial stresses need long-term sustainable alternative that will avoid pay cuts and unemployment. Treatment regimen, diagnostic protocols, waste disposal guidelines should be worked upon and leading national agencies be consulted for technical support, research and development.

  • Banking Transaction Considerations on Standardized Browser Architecture
    Indraneel Mukhopadhyay and Abir Ghosh

    Springer Singapore

  • Cyber Security Issues in the COVID-19 Times
    Moutushi Singh and Indraneel Mukhopadhyay

    Springer Singapore


  • Preface


  • Blockchain-Based Framework for Managing Customer Consent in Open Banking
    Indraneel Mukhopadhyay and Abir Ghosh

    Springer Singapore

  • Review and Comparison of Face Detection Techniques
    Sudipto Kumar Mondal, Indraneel Mukhopadhyay, and Supreme Dutta

    Springer Singapore

  • Waiting Time: The Expectations and Preferences of Patients in a Paediatric OPD
    Mitali Sengupta, Satyajit Chakrabarti, and Indraneel Mukhopadhyay

    SAGE Publications
    Quality healthcare and satisfaction are gradually emerging as important areas, which need much attention. The factors of patient satisfaction have been identified under varied conditions globally. In the Indian context, one key patient satisfaction factor has been attributed to waiting time. Long waiting time has been one of the major reasons of patient dissatisfaction and assumes significance when associated with paediatric events. The following study has successfully identified key attributes, which are associated with long waiting times within paediatric outpatient department (OPD) settings. The possible implications of the long waiting periods have been recorded through semi-structured interviews, and further in-depth analysis of individual factors were carried out to predict the probable outcomes.The qualitative exploratory study design has helped to understand the perception of parents/care givers (in case of neonates and toddlers) and adolescents, thereby successfully highlighting the need for further study in the patient satisfaction domain involving paediatric population. The various implications which the waiting time has on them have been taken into consideration. The inter-related themes have been identified after analyzing the interviews. These substantiate the fact that designing innovative mitigation strategies on proper and timely communication, updated technological know-how, improvising hospital protocols for better operational processes and coordination among the staff can go a long way in enhancing the patient/parent experience within OPD settings.

  • A unique approach to design an intrusion detection system using an innovative string searching algorithm and DNA sequence
    Nazimuddin Sheikh, Kanyasree Mustafi, and Indraneel Mukhopadhyay

    IEEE
    The security related issues in the Internet have drawn a constant attention due to rapid growth of attack and its devastating consequence. The essence of monitoring the networks and analyzing the packets coming from the network is to verify the authenticity of traffics. There have many Intrusion Detection & Prevention System (IDPS) techniques been proposed and accepted in the last few decades such as Snort, Bro IDS etc. In this paper we have proposed a novel string searching algorithm and an Intrusion Detection System using this algorithm. In addition, we have explored few exact-pattern searching algorithms and their comparative analysis as our background study. A dataset of five thousands records (a subset from KDD Cup dataset) with forty one features is taken for evaluating the efficacy of the proposed IDS. The corresponding global nucleotide sequences of all the features of the dataset helped us to implement our IDS.

  • Data encryption in virtual machine transfer over cloud network
    Raja Mukhopadhyay and I Mukhopadhyay

    IEEE
    Cloud computing has evolved to a great extent over the years. The concept of the cloud lies in the efficient storage of data through resource allocation at a very low cost. The building blocks of cloud are distributed virtual servers over different geographical locations. Virtual machines transfer data over the network from one physical server to another, an efficient algorithm or model is required for this purpose. The integrity and confidentiality of data needs to be maintained. This paper proposes an algorithm ASCII XORING which aims to encrypt data stored in the virtual machine and its transfer over the network.

  • Home automation and grid mapping technology using IoT
    Raja Mukhopadhyay and I Mukhopadhyay

    IEEE
    Internet of Things (IoT) has stood at the forefront of technological advancements in order to reduce human labor. The idea of making the world smart arises from the fact that “things” can be connected via/to the Internet. Smart homes, smart cars, smart offices all these have brought about a massive change in the field of technology. The use of sensors in common household items can transform them into smarter devices is the next step. Grid based mapping is an easy way to map an entire house. Control of electronic devices through mobile phones or computers is at the core of this technology. This paper discusses how home automation system can be implemented and how the use of cloud computing technology along with IoT devices can be used so that the data collected by these devices can be safely stored and monitored.

  • Heuristic Intrusion Detection and Prevention System
    Indraneel Mukhopadhyay, Kirit Sankar Gupta, Diptarshi Sen, and Piyali Gupta

    IEEE
    The Heuristic Intrusion Detection and Prevention System (HIDPS) is a system that can intelligently scan for malicious behavior from a program either within the system, or trying to access the system. The aforementioned system contains no `Virus definitions' as such but works “Intelligently” using heuristics and online scanning techniques. The proposed system will be able to analyze the program and make decisions about its nature i.e. malicious or non-malicious. Depending upon the nature of the program access is granted or revoked. The system does not rely on time to time updates or any kind of updates at all, reason being the use of heuristics and online scanning techniques. It functions as a standalone script which can be a complete security suite in itself. Since every active process and network packet is monitored, the possibility of rootkits or Trojans remaining undetected is small.

  • Back propagation neural network approach to Intrusion Detection System
    I Mukhopadhyay, M Chakraborty, S Chakrabarti, and T Chatterjee

    IEEE
    As the Internet is growing - so is the vulnerability of the network. Companies now days are spending huge amount of money to protect their sensitive data from different attacks that they face. In this paper, we propose a new methodology towards developing an Intrusion Detection System (IDS) based on Back-Propagation Neural Network (BPN) model. The proposed system was simulated using Matlab2010a utilizing benchmark intrusion KDDCUP'99 dataset to verify its feasibility and effectiveness.

  • HawkEye solutions: A network intrusion detection system
    I. Mukhopadhyay, M. Chakraborty, and S. Chakrabarti

    ACM Press
    An Intrusion Detection System (IDS) is a computer-based information system designed to collect information about malicious activities in a set of targeted IT resources, analyze the information and respond according to some predefined security policy. In this paper the authors discuss about HawkEye Solutions, a Network Intrusion Detection System (NIDS) that detects abnormal Internet Protocol (IP) packets. An NIDS is a computer-based information system designed to collect information about malicious activities in a set of targeted IT resources, analyze the information, and respond according to a predefined security policy. Authors here present the basic building blocks of an IDS that include mechanisms for carrying out TCP port scans, Traceroute scan, which in association with the ping scan can monitor network health. Finally the implementation of a Packet Sniffer provides generic level opportunity to detect various types of attacks, based on packet analyzing.

  • Study of snort-based IDS
    S. Chakrabarti, M. Chakraborty, and I. Mukhopadhyay

    ACM
    General trend in industry is a shift from Intrusion Detection Systems (IDS) to Intrusion Prevention Systems (IPS). In this paper, we have investigated the motivations behind this trend. In addition, we have surveyed some of the available IDS/IPS tools. Real time analysis of several Internet attacks was done using SNORT, "the de facto standard for intrusion detection/prevention", and Nmap in order to study malicious behavior of our network. Simulation results of Scanning attack as well as DoS attack performed on test computer have been provided. A comparative analysis of the results obtained with Snort and EagleX showed the higher efficiency of Snort.

RECENT SCHOLAR PUBLICATIONS

  • Conflict Dynamics in Indian Healthcare: An Exploratory Study on Primers of Conflict in Private Clinical Establishments of Kolkata
    M Sengupta, A Ganguly, A Roy, S Chakrabarti, I Mukhopadhyay
    Journal of Health Management, 09720634241246921 2024

  • Secure Road Data Transmission and Management System Utilizing Genetic Encryption on Blockchain
    IM Bannishika Banerjee
    IN Patent App. 202431028007 A 2024

  • Design and Architectural Implementation of Consortium Blockchain Based Framework for Open Banking Customer Consent and Data Handling
    A Ghosh, I Mukhopadhyay, S Chakraborty
    SN Computer Science 5 (2), 271 2024

  • Fluoroscopic Interventional System with Dynamic Laser Path Planning and Multimodal Bio-Feedback for Minimally Invasive Management of Lumbosacral Pain
    DPM Dr. Debarpita Santra, Dr. Indraneel Mukhopadhyay, Dr. Ambar Dutta
    IN Patent App. 202431005884 A 2024

  • Adaptive Authentication for Open Banking Customer Consents
    SC Abir Ghosh, Indraneel Mukhopadhyay
    International Conference on Interdisciplinary Research in Technology and 2024

  • Design of Novel Consensus Algorithm for Digital Market Place: Artwork for Assortment Based Blockchain Consensus Algorithm
    IM Bannishikha Banerjee
    IN Patent L-141851/2,024 2024

  • Artificial Intelligence-based Sagittal Kinematic Observational GAIT Analysis Tool for Evaluation and Management of Low Back Pain
    DAP Dr. Debarpita Santra, Dr. Purnava Mukhopadhyay, Dr. Ambar Dutta, Dr ...
    IN Patent App. 202331052599 A 2023

  • Artificial Intelligence based Voice Generator for Patients with Motor Neuron Disorder
    DAD Dr. Debarpita Santra, Dr. Indraneel Mukhopadhyay
    IN Patent App. 202331052318 A 2023

  • ConsenTrack—Blockchain Based Framework for Open Banking Consent Data Tracking
    A Ghosh, I Mukhopadhyay, S Chakraborty
    Human-Centric Intelligent Systems 3 (2), 105-122 2023

  • Adaptive Authentication for Open Banking Customer Consents
    SC Abir Ghosh, Indraneel Mukhopadhyay
    IRTM 2023 International Conference On “Interdisciplinary Research in 2023

  • The Future of the Internet of Things (IoT) and IoT Authentication
    IM Pallab Maity, Kajari Sur
    2023 11th International Conference on Internet of Everything, Microwave 2023

  • When the Going Gets Tough, the Tough Gets Going–A Study on Healthcare, Societal and Financial Challenges Faced by Survivors of COVID-19
    M Sengupta, A Roy, S Gupta, S Chakrabarti, I Mukhopadhyay
    Sustainable Marketing and Customer Value, 120 2022

  • Blockchain for Open Banking Consent Management- Consensus Challenges
    A Ghosh, I Mukhopadhyay, S Chakraborty
    Tech Vistas 3 (2), 23-32 2022

  • A Survey on IoT Protocol and Threat Matrix
    K Sur, I Mukhopadhyay
    Proceedings of International Conference on Computational Intelligence, Data 2022

  • Knowledge, attitude and practice survey towards COVID‐19 vaccination: A mediation analysis
    M Sengupta, S Dutta, A Roy, S Chakrabarti, I Mukhopadhyay
    The International Journal of Health Planning and Management 37 (4), 2063-2080 2022

  • Art of breaking bad news: A qualitative study in Indian healthcare perspective
    M Sengupta, A Roy, S Gupta, S Chakrabarti, I Mukhopadhyay
    Indian Journal of Psychiatry 64 (1), 25-37 2022

  • Cyber threats landscape overview under the new normal
    I Mukhopadhyay
    ICT Analysis and Applications, 729-736 2022

  • Unified by COVID-19 : Healthcare Lessons Learned from USA, China and India
    IM Mitali Sengupta , Arijit Roy , S B Raha, Satyajit Chakrabarti
    Journal of the Indian Medical Association (JIMA) 119 (9), 39-46 2021

  • AI, Biometry and Blockchain Powered User Authentication
    A Ghosh, I Mukhopadhyay
    Interdisciplinary Research in Technology and Management 23, 141-145 2021

  • Challenges Encountered by Healthcare Providers in COVID-19 Times: An Exploratory Study
    IM Mitali Sengupta, Arijit Roy, Arnab Ganguly, Kuldeep Baishya, Satyajit ...
    Journal of Health Management 23 (2), 339-356 2021

MOST CITED SCHOLAR PUBLICATIONS

  • Study of snort-based IDS
    S Chakrabarti, M Chakraborty, I Mukhopadhyay
    Proceedings of the International Conference and Workshop on Emerging Trends 2010
    Citations: 72

  • A comparative study of related technologies of intrusion detection & prevention systems
    I Mukhopadhyay, M Chakraborty, S Chakrabarti
    Journal of Information Security 2 (01), 28 2011
    Citations: 53

  • Back propagation neural network approach to Intrusion Detection System
    I Mukhopadhyay, M Chakraborty, S Chakrabarti, T Chatterjee
    2011 International Conference on Recent Trends in Information Systems, 303-308 2011
    Citations: 42

  • Challenges Encountered by Healthcare Providers in COVID-19 Times: An Exploratory Study
    IM Mitali Sengupta, Arijit Roy, Arnab Ganguly, Kuldeep Baishya, Satyajit ...
    Journal of Health Management 23 (2), 339-356 2021
    Citations: 39

  • Web Penetration Testing using Nessus and Metasploit Tool
    I Mukhopadhyay, S Goswami, E Mandal
    IOSR Journal of Computer Engineering (IOSR-JCE) 16 (3), 126-129 2014
    Citations: 16

  • Heuristic Intrusion Detection and Prevention System
    I Mukhopadhyay, KS Gupta, D Sen, P Gupta
    International Conference and Workshop on Computing and Communication (IEMCON 2015
    Citations: 14

  • Knowledge, attitude and practice survey towards COVID‐19 vaccination: A mediation analysis
    M Sengupta, S Dutta, A Roy, S Chakrabarti, I Mukhopadhyay
    The International Journal of Health Planning and Management 37 (4), 2063-2080 2022
    Citations: 12

  • Waiting Time: The Expectations and Preferences of Patients in a Paediatric OPD
    M Sengupta, S Chakrabarti, I Mukhopadhyay
    Journal of Health Management 21 (3), 427-442 2019
    Citations: 12

  • Hardware realization of artificial neural network based intrusion detection & prevention system
    I Mukhopadhyay, M Chakraborty
    Journal of Information Security 5 (4), 154-165 2014
    Citations: 12

  • Review and Comparison of Face Detection Techniques
    SK Mondal, I Mukhopadhyay, S Dutta
    International Ethical Hacking Conference 1065 (1), 3-14 2019
    Citations: 11

  • Art of breaking bad news: A qualitative study in Indian healthcare perspective
    M Sengupta, A Roy, S Gupta, S Chakrabarti, I Mukhopadhyay
    Indian Journal of Psychiatry 64 (1), 25-37 2022
    Citations: 10

  • Blockchain-Based Framework for Managing Customer Consent in Open Banking
    I Mukhopadhyay, A Ghosh
    The" Essence" of Network Security: An End-to-End Panorama 163, 77-90 2021
    Citations: 10

  • Cyber threats landscape overview under the new normal
    I Mukhopadhyay
    ICT Analysis and Applications, 729-736 2022
    Citations: 9

  • Home automation and grid mapping technology using IoT
    R Mukhopadhyay, I Mukhopadhyay
    2016 IEEE 7th Annual Information Technology, Electronics and Mobile 2016
    Citations: 9

  • A unique approach to design an intrusion detection system using an innovative string searching algorithm and DNA sequence
    Nazimuddin Sheikh, Kanyasree Mustafi, Indraneel Mukhopadhyay
    2016 IEEE 7th Annual Ubiquitous Computing, Electronics & Mobile 2016
    Citations: 8

  • Simulation of Denial of Service (DoS) Attack using Matlab and Xilinx
    I Mukhopadhayay, S Polle, P Naskar
    IOSR Journal of Computer Engineering (IOSR-JCE) 16 (Issue 3, Ver. IV), 119-125 2014
    Citations: 8

  • Essence of Network Security: An End-to-End Panorama
    M Chakraborty, M Singh, VE Balas, I Mukhopadhyay
    The" Essence" of Network Security: An End-to-End Panorama 163, vii–xi 2021
    Citations: 5

  • Cyber Security Issues in the COVID-19 Times
    I Singh, M., Mukhopadhyay
    Lecture Notes on Data Engineering and Communications Technologies 62, 671-680 2021
    Citations: 4

  • Implementation of Kalman Filter In Intrusion Detection System
    I Mukhopadhyay, B Maiti, G Dolui, I Rashid
    International Symposium on Communications and Information Technologies 2008 2008
    Citations: 4

  • Banking Transaction Considerations on Standardized Browser Architecture
    A Mukhopadhyay, I., Ghosh
    Lecture Notes on Data Engineering and Communications Technologies 62, 635–644 2021
    Citations: 2