@iem.edu.in
Professor, Computer Science Department
Institute of Engineering & Management
"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.
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
Network Security
Cyber Security
Management
Block Chain
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Abir Ghosh, Indraneel Mukhopadhyay, and Subhalaxmi Chakraborty
Springer Science and Business Media LLC
Mitali Sengupta, Arijit Roy, Saikat Gupta, Satyajit Chakrabarti, and Indraneel Mukhopadhyay
Routledge
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.
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.
Indraneel Mukhopadhyay
Springer Nature Singapore
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.
Indraneel Mukhopadhyay and Abir Ghosh
Springer Singapore
Moutushi Singh and Indraneel Mukhopadhyay
Springer Singapore
Indraneel Mukhopadhyay
Springer Singapore
Indraneel Mukhopadhyay and Abir Ghosh
Springer Singapore
Sudipto Kumar Mondal, Indraneel Mukhopadhyay, and Supreme Dutta
Springer Singapore
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.
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.
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.
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.
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.
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.
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.
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.