Inadyuti Dutt

@bppimt.ac.in

Assistant Professor and Dept. of Computer Applications
B. P. Poddar Institute of MAnagement & Technology

Inadyuti Dutt


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https://researchid.co/inadyuti

RESEARCH INTERESTS

Network Security, Cyber Security, AI, ML
8

Scopus Publications

235

Scholar Citations

7

Scholar h-index

4

Scholar i10-index

Scopus Publications

  • Intrusion Detection in Cloud-IoT Systems: Challenges and Opportunities
    Anindita Raychaudhuri, Inadyuti Dutt
    Strategic Approaches to Intrusion Detection in Cloud Iot Ecosystem, 2026
    Intrusion detection in Cloud-IoT systems is essential for safeguarding data, ensuring regulatory compliance, maintaining operational continuity, and protecting against the evolving landscape of cyber threats. Cloud-IoT systems collect huge amounts of data from diverse sources, including human-to-human, human-to-thing, and thing-to-thing interactions. These systems leverage cloud computing to process and study the data, delivering real-time insights seamlessly. The data in such systems become very vulnerable to intrusions as they can be compromised at the client's end, where the exchange of data primarily takes place. The data can also be prone to security issues in the cloud environment where the cloud servers can be exposed to attacks. Apart from firewalls that are positioned intelligently, there are needs for Intrusion Detection Systems (IDS). Intrusion detection in Cloud-IoT systems is a multifaceted but essential job to ensure the security and integrity of these environments. By exploiting leading-edge technologies like machine learning, deep learning, edge computing, and collaborative approaches, it is possible to develop robust IDS solutions that can successfully detect and alleviate threats in these dynamic and heterogeneous systems. Intrusion detection in Cloud-IoT systems is a fast-growing domain, with various research avenues developing to tackle the distinct challenges arising from the integration with the internet of things (IoT). This chapter offers a detail review of different strategies, tools and technologies for intrusion detection as well as explores future research directions.
  • A Comparative Study of Standard Datasets in Intrusion Detection System Using Various Artificial Neural Networks Techniques
    Inadyuti Dutt, Samarjeet Borah, Indra Kanta Maitra
    Lecture Notes in Networks and Systems, 2026
  • Multiple Immune-based Approaches for Network Traffic Analysis
    Inadyuti Dutt, Samarjeet Borah, I. Maitra
    Procedia Computer Science, 2020
    Internet and intranet facilities face security related issues due to malicious attacks in the network and unwanted access by unknown or sometimes known users. The network for these facilities becomes vulnerable and therefore, the network needs to be analysed for finding intrusive activities. In this paper, multiple immune-based approaches have been proposed for analyzing the network. The main intention of our work is to detect such vulnerabilities by capturing the traffic and analyzing both the header and the payload portions of the network packet. This paper tries to employ a scheme that would consider both the header and payload-portions of a network packet. The standard KDD’99 data set has been used for analysis and features are extracted using the well-known method called PCA. Then the selected features are supplied to the various immune-based algorithms for detecting anomalies in the network. The immune-based algorithms AIRS-inspired, Clonal Selection-inspired and Immunity structure inspired are implemented and the results show that the AIRS-inspired approaches perform much better than the other immune-based approaches for all the tcp, icmp and udp packets.
  • Immune System Based Intrusion Detection System (IS-IDS): A Proposed
    Inadyuti Dutt, Samarjeet Borah, I. Maitra
    IEEE Access, 2020
    This paper explores the immunological model and implements it in the domain of intrusion detection on computer networks. The main objective of the paper is to monitor, log the network traffic and apply detection algorithms for detecting intrusions within the network. The proposed model mimics the natural Immune System (IS) by considering both of its layers, innate immune system and adaptive immune system respectively. The current work proposes Statistical Modeling based Anomaly Detection (SMAD) as the first layer of Intrusion Detection System (IDS). It works as the Innate Immune System (IIS) interface and captures the initial traffic of a network to find out the first-hand vulnerability. The second layer, Adaptive Immune-based Anomaly Detection (AIAD) has been considered for determining the features of the suspicious network packets for detection of anomaly. It imitates the adaptive immune system by taking into consideration the activation of the T-cells and the B-cells. It captures relevant features from header and payload portions for effective detection of intrusion. Experiments have been conducted on both the real-time network traffic and the standard datasets KDD99 and UNSW-NB15 for intrusion detection. The SMAD model yields as high as 96.04% true positive rate and around 97% true positive rate using real-time traffic and standard data sets. Highly suspicious traffic detected in the SMAD model is further tested for vulnerability in the AIAD model. Results show significant true positive rate, closer to almost 99% of accurately detecting the file-based and user-based anomalies for both the real-time traffic and standard data sets.
  • A Proposed Machine Learning based Scheme for Intrusion Detection
    Inadyuti Dutt, Samarjeet Borah, I. Maitra
    Proceedings of the 2nd International Conference on Electronics Communication and Aerospace Technology Iceca 2018, 2018
    Voluminous data with high velocity and variety have resulted in deceiving the security of internet and intranet facilities. The threats are either having some patterns or lack any definite patterns. Therefore, the data arriving at the network have number of features and wide variety of patterns. Firstly, the number of patterns needs to be reduced and then the filtered set of patterns could be used for detecting unknown threats. This paper presents an approach for developing an Intrusion Detection System (IDS) with the help of Principal Component Analysis (PCA) and machine learning algorithms in WEKA environment. The approach yields better performance by making the detection more effective. The results show highertrue positive and lower false positive ratesin comparison to the existing methods.
  • Real-Time Hybrid Intrusion Detection System Using Machine Learning Techniques
    Inadyuti Dutt, Samarjeet Borah, I. Maitra, Kuharan Bhowmik, Ayindrilla Maity, Suvosmita Das
    Lecture Notes in Electrical Engineering, 2018
  • Design and Implementation of Intrusion Detection System using Data Mining Techniques and Artificial Neural Networks
    Inadyuti Dutt, Samarjeet Borah
    Computation and Communication Technologies, 2016
  • Design and implementation of intrusion detection system using data mining techniques and artificial neural networks
    6th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2015, 2015

RECENT SCHOLAR PUBLICATIONS

  • Intrusion Detection in Cloud‐IoT Systems: Challenges and Opportunities
    A Raychaudhuri, I Dutt
    Strategic Approaches to Intrusion Detection in Cloud‐IoT Ecosystem, 1-30 , 2026
    2026
  • A Comparative Study of Standard Datasets in Intrusion Detection System Using Various Artificial Neural Networks Techniques
    I Dutt, S Borah, IK Maitra
    International Conference on Advanced Computational and Communication … , 2025
    2025
  • Pre-Processing of KDD’99 & UNSW-NB Network Intrusion Datasets
    IKM Inadyuti Dutt, Samarjeet Borah
    Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12 (11 … , 2021
    2021
    Citations: 5
  • Immune system based intrusion detection system (IS-IDS): A proposed model
    I Dutt, S Borah, IK Maitra
    Ieee Access 8, 34929-34941 , 2020
    2020
    Citations: 107
  • Survey of bio-inspired techniques based on system resource usage in intrusion detection
    I Dutt
    2020
    Citations: 3
  • Multiple immune-based approaches for network traffic analysis
    I Dutt, S Borah, IK Maitra
    Procedia Computer Science 167, 2111-2123 , 2020
    2020
    Citations: 4
  • Real-time hybrid intrusion detection system using machine learning techniques
    I Dutt, S Borah, IK Maitra, K Bhowmik, A Maity, S Das
    Advances in Communication, Devices and Networking: Proceedings of ICCDN 2017 … , 2018
    2018
    Citations: 50
  • A Proposed Machine Learning Based Scheme for Intrusion Detection
    IKM Inadyuti Dutt, Samarjeet Borah
    International conference on Electronics, Communication and Aerospace … , 2018
    2018
  • A proposed machine learning based scheme for intrusion detection
    I Dutt, S Borah, I Maitra
    2018 Second International Conference on Electronics, Communication and … , 2018
    2018
    Citations: 7
  • Design and Implementation of Intrusion Detection System using Data Mining Techniques and Artificial Neural Networks
    I Dutt¹, S Borah
    Computation and Communication Technologies, 280 , 2016
    2016
  • Intrusion detection system using artificial immune system
    I Dutt, S Borah, I Maitra
    International Journal of Computer Applications 144 (12) , 2016
    2016
    Citations: 19
  • Some Studies in Intrusion Detection using Data Mining Techniques
    DSB Inadyuti Dutt
    International Journal of Innovative Research in Science, Engineering and … , 2015
    2015
    Citations: 15
  • Issues in Delay Tolerant Networks: A Comparative Study
    I Dutt
    International Journal of Advanced Research in Computer Science and Software … , 2015
    2015
    Citations: 7
  • Implementation of network security using genetic algorithm
    I Dutt, S Paul, SN Chaudhuri
    Int J Adv Res Comput Sci Software Eng 3 (2), 234-241 , 2013
    2013
    Citations: 7
  • Design and Implementation of Recovery Management in All –Optical Networks
    SNC Inadyuti Dutt, Soumya Paul
    International Journal of Engineering Science and Advanced Technology 3 (2 … , 2013
    2013
  • A Novel Approach for Network Security in WDM Optical Networks
    SNC Soumya Paul, Inadyuti Dutt
    International Journal of Engineering Science and Advanced Technology 3 (2 … , 2013
    2013
  • Design and implementation of network security using genetic algorithm
    S Paul, I Dutt, SN Choudhri
    Int J Res Eng Technol 2 (2), 172-177 , 2013
    2013
    Citations: 4
  • Recovery Management in All Optical Networks Using Biologically-Inspired Complex Adaptive System
    I Dutt, S Paul, SN Chaudhuri
    IJECCE 4 (1), 309-314 , 2013
    2013
    Citations: 1
  • Security in All-Optical Network using Artificial Neural Network.
    I Dutt, S Paul, D Bandyopadyay
    International Journal of Advanced Research in Computer Science 3 (2) , 2012
    2012
    Citations: 4
  • A novel approach for light trail minimization using genetic algorithm in optical networks
    S Paul, I Dutt
    International Journal of Advanced Research in Computer Science and … , 2012
    2012
    Citations: 2

MOST CITED SCHOLAR PUBLICATIONS

  • Immune system based intrusion detection system (IS-IDS): A proposed model
    I Dutt, S Borah, IK Maitra
    Ieee Access 8, 34929-34941 , 2020
    2020
    Citations: 107
  • Real-time hybrid intrusion detection system using machine learning techniques
    I Dutt, S Borah, IK Maitra, K Bhowmik, A Maity, S Das
    Advances in Communication, Devices and Networking: Proceedings of ICCDN 2017 … , 2018
    2018
    Citations: 50
  • Intrusion detection system using artificial immune system
    I Dutt, S Borah, I Maitra
    International Journal of Computer Applications 144 (12) , 2016
    2016
    Citations: 19
  • Some Studies in Intrusion Detection using Data Mining Techniques
    DSB Inadyuti Dutt
    International Journal of Innovative Research in Science, Engineering and … , 2015
    2015
    Citations: 15
  • A proposed machine learning based scheme for intrusion detection
    I Dutt, S Borah, I Maitra
    2018 Second International Conference on Electronics, Communication and … , 2018
    2018
    Citations: 7
  • Issues in Delay Tolerant Networks: A Comparative Study
    I Dutt
    International Journal of Advanced Research in Computer Science and Software … , 2015
    2015
    Citations: 7
  • Implementation of network security using genetic algorithm
    I Dutt, S Paul, SN Chaudhuri
    Int J Adv Res Comput Sci Software Eng 3 (2), 234-241 , 2013
    2013
    Citations: 7
  • Pre-Processing of KDD’99 & UNSW-NB Network Intrusion Datasets
    IKM Inadyuti Dutt, Samarjeet Borah
    Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12 (11 … , 2021
    2021
    Citations: 5
  • Multiple immune-based approaches for network traffic analysis
    I Dutt, S Borah, IK Maitra
    Procedia Computer Science 167, 2111-2123 , 2020
    2020
    Citations: 4
  • Design and implementation of network security using genetic algorithm
    S Paul, I Dutt, SN Choudhri
    Int J Res Eng Technol 2 (2), 172-177 , 2013
    2013
    Citations: 4
  • Security in All-Optical Network using Artificial Neural Network.
    I Dutt, S Paul, D Bandyopadyay
    International Journal of Advanced Research in Computer Science 3 (2) , 2012
    2012
    Citations: 4
  • Survey of bio-inspired techniques based on system resource usage in intrusion detection
    I Dutt
    2020
    Citations: 3
  • A novel approach for light trail minimization using genetic algorithm in optical networks
    S Paul, I Dutt
    International Journal of Advanced Research in Computer Science and … , 2012
    2012
    Citations: 2
  • Recovery Management in All Optical Networks Using Biologically-Inspired Complex Adaptive System
    I Dutt, S Paul, SN Chaudhuri
    IJECCE 4 (1), 309-314 , 2013
    2013
    Citations: 1
  • Intrusion Detection in Cloud‐IoT Systems: Challenges and Opportunities
    A Raychaudhuri, I Dutt
    Strategic Approaches to Intrusion Detection in Cloud‐IoT Ecosystem, 1-30 , 2026
    2026
  • A Comparative Study of Standard Datasets in Intrusion Detection System Using Various Artificial Neural Networks Techniques
    I Dutt, S Borah, IK Maitra
    International Conference on Advanced Computational and Communication … , 2025
    2025
  • A Proposed Machine Learning Based Scheme for Intrusion Detection
    IKM Inadyuti Dutt, Samarjeet Borah
    International conference on Electronics, Communication and Aerospace … , 2018
    2018
  • Design and Implementation of Intrusion Detection System using Data Mining Techniques and Artificial Neural Networks
    I Dutt¹, S Borah
    Computation and Communication Technologies, 280 , 2016
    2016
  • Design and Implementation of Recovery Management in All –Optical Networks
    SNC Inadyuti Dutt, Soumya Paul
    International Journal of Engineering Science and Advanced Technology 3 (2 … , 2013
    2013
  • A Novel Approach for Network Security in WDM Optical Networks
    SNC Soumya Paul, Inadyuti Dutt
    International Journal of Engineering Science and Advanced Technology 3 (2 … , 2013
    2013