Dr Balaj iNaik

@nitsikkim.ac.in

Assistant Professor Dept of CSE
National Institute of Technology Sikkim



              

https://researchid.co/balajinaik07

RESEARCH INTERESTS

Cloud Computing, Workflow Scheduling Algorithm and Nature Inspired Algorithms

17

Scopus Publications

167

Scholar Citations

6

Scholar h-index

5

Scholar i10-index

Scopus Publications


  • Energy-efficient task offloading and efficient resource allocation for edge computing: a quantum inspired particle swarm optimization approach
    Banavath Balaji Naik, Bollu Priyanka, and Sarfaraj Alam Ansari
    Springer Science and Business Media LLC

  • Taming the Monkeypox Outbreak with Deep Learning for Skin Lesion Detection
    Most Tahia Subah Ankita, Bipal Khanal, Samvedna Gupta, Manvendra Singh, B. Balaji Naik, and Md. Sarfaraj Alam Ansari
    Springer Nature Switzerland

  • Energy and Cost Aware Workflow Offloading Using Quantum Inspired Differential Evolution in the Cloud Environments
    Bollu Priyanka, Banavath Balaji Naik, and Thandava Purandeswar Reddy
    Springer Science and Business Media LLC

  • Predicting temporal clear water scour depth around bridge piers with XGBoost and SVM–PSO approaches
    Anubhav Baranwal, Prince Gaurav, Lohit Reddy, Bhabani Shankar Das, and Balaji Naik
    IWA Publishing
    ABSTRACT Scouring around a bridge pier involves removing sediment from the riverbed and banks due to water flow. This paper employs eXtreme Gradient Boosting (XGBoost) and support vector machine with particle swarm optimization (SVM-PSO) machine learning (ML) approaches to model the temporal local scour depth around bridge piers under clear water scouring (CWS) conditions. CWS datasets, incorporating bridge pier geometry, flow characteristics, and sediment properties, are collected from existing literature. Five non-dimensional influencing parameters, such as ratio of pier width to flow depth (b/y), ratio of approach mean velocity to critical velocity (V/Vc), ratio of mean sediment size to pier width (d50/b), Froude number (Fr), and standard deviation of sediment (σg), are chosen as input parameters. XGBoost and SVM-PSO ML models demonstrate superior predictive capabilities, achieving coefficient of determination (R2) values exceeding 0.90 and mean absolute percentage error (MAPE) and root mean square error (RMSE) values less than 17.07% and 0.0341, respectively. Comparison with the previous four empirical models based on statistical indices reveals that the proposed XGBoost model outperforms SVM-PSO and empirical models in predicting scour depth, so it is recommended for estimating clear water scour depth under varying temporal conditions within the specified dataset range.

  • Quantum-inspired particle swarm optimization for efficient IoT service placement in edge computing systems
    Marlom Bey, Pratyay Kuila, Banavath Balaji Naik, and Santanu Ghosh
    Elsevier BV

  • Quantum-Inspired Differential Evolution Based Efficient IoT Service Placement in Edge Networks
    Marlom Bey, Pratyay Kuila, and Banavath Balaji Naik
    IEEE
    The rise in Internet of Things (IoT) devices has led to the creation of sophisticated applications that demand various resources in real time to support a wide range of IoT services. Leveraging edge computing (EC) infrastructure, these services can be effectively placed on edge nodes (ENs). However, due to the limited computational resources of ENs, it becomes challenging to manage a large number of services while maintaining the system’s quality of service (QoS) and quality of experience (QoE). This paper introduces a quantum-inspired differential evolution method (QIDE-IoTSP) designed to optimize the placement of IoT services within EC networks. The primary objectives of QIDE-IoTSP are to maximize throughput, ensure optimal load balance, and minimize computation time. A quantum vector (QV) is utilized to develop a robust solution for the optimal deployment of IoT services in EC networks to achieve this. The effectiveness of each solution is evaluated using a formulated fitness function. Simulation results demonstrate that QIDE-IoTSP surpasses other metaheuristic techniques in terms of throughput, computation latency, and load balancing.

  • Blockchain-Assisted Trust Management in Vehicular Ad-Hoc Network
    Suman Banerjee, Pratyay Kuila, and Banavath Balaji Naik
    IEEE
    Vehicle-to-everything (V2X) communication is crucial in Intelligent Transportation Systems (ITSs) for enhancing road safety, traffic efficiency, and convenience. To address the need for trust in V2X communications, a trust management system for Vehicular Ad Hoc Networks (VANETs) using blockchain technology has been proposed. This system calculates dynamic trust scores for vehicles based on direct communication, recommendations from other vehicles, and proximity to roadside units (RSUs). The trust scores are stored in a transparent and tamperproof blockchain, ensuring the immutability and transparency of trust scores. Simulations demonstrate that this blockchain-based trust management system significantly improves the security and reliability of V2X communications. This system is essential for the widespread acceptance of VANETs by fostering a trusted communication environment.

  • Quantum-Inspired Differential Evolution with Decoding using Hashing for Efficient User Allocation in Edge Computing Environment
    Marlom Bey, Pratyay Kuila, and Banavath Balaji Naik
    Institute of Electrical and Electronics Engineers (IEEE)

  • An SQL query generator for cross-domain human language based questions based on NLP model
    B. Balaji Naik, T. Jaya Venkata Rama Reddy, K. Rohith Venkata karthik, and Pratyay Kuila
    Springer Science and Business Media LLC

  • Energy and Delay Efficient Partial Offloading for UAV-assisted MEC Systems using Differential Evolution Algorithm
    Deepak Dhingan, Santanu Ghosh, Banavath Balaji Naik, and Pratyay Kuila
    IEEE
    The research describes a technique that enables an Unmanned Aerial Vehicle (UAV) to delegate a part of a task to mobile devices. By outsourcing the computationally costly sections of a work to the more capable UAV and using the mobile devices for tasks that can be completed locally, the system makes good use of the capabilities of both the UAV and mobile devices. In this paper, Differential Evolution (DE) based algorithm is proposed for energy and delay efficient partial offloading in UAV-assisted MEC system. An extensive Simulations have been done to measure the performance of the proposed algorithm. The results reveal a considerable reduction in latency. Overall, our method shows how partial task offloading may be used to enhance the performance of UAV-assisted systems.

  • Multi-objective Virtual Machine Selection in Cloud Data Centers Using Optimized Scheduling
    Banavath Balaji Naik, Dhananjay Singh, and Arun Barun Samaddar
    Springer Science and Business Media LLC
    In cloud computing, more often times cloud assets are underutilized because of poor allocation of task in virtual machine (VM). There exist inconsistent factors affecting the scheduling tasks to VMs. In this paper, an effective scheduling with multi-objective VM selection in cloud data centers is proposed. The proposed multi-objective VM selection and optimized scheduling is described as follows. Initially the input tasks are gathered in a task queue and tasks computational time and trust parameters are measured in the task manager. Then the tasks are prioritized based on the computed measures. Finally, the tasks are scheduled to the VMs in host manager. Here, multi-objectives are considered for VM selection. The objectives such as power usage, load volume, and resource wastage are evaluated for the VMs and the entropy is calculated for the measured objectives and based on the entropy value krill herd optimization algorithm prioritized tasks are scheduled to the VMs. The experimental results prove that the proposed entropy based krill herd optimization scheduling outperforms the existing general krill herd optimization, cuckoo search optimization, cloud list scheduling, minimum completion cloud, cloud task partitioning scheduling and round robin techniques.

  • Secure virtual machine allocation against attacks using support value based game policy
    Banavath Balaji Naik, Dhananjay Singh, and Arun Barun Samaddar
    Wiley

  • FHCS: Hybridised optimisation for virtual machine migration and task scheduling in cloud data center
    Banavath Balaji Naik, Dhananjay Singh, and Arun B. Samaddar
    Institution of Engineering and Technology (IET)
    Cloud computing and virtualisation are recent approaches to develop minimum energy usage in virtualised cloud data centre (DC) for resource management. One of the major problems faced by cloud DCs is energy consumption which increases the cost of cloud user and environmental influence. Therefore, virtual machine (VM) consolidation is properly proposed in many approaches which reallocate the VMs by VM migration with the objective of minimum energy consumption. Here, VM consolidation based on the Fruit fly Hybridised Cuckoo Search (FHCS) algorithm is proposed to obtain the optimal solution with the help of two objective functions in cloud DC. This FHCS approach efficiently minimises the energy usage and resource depletion in cloud DC. The proposed work comparison is done with Ant Colony System (ACS), Particle Swarm Optimisation (PSO) algorithm and Genetic Algorithm (GA). The simulation conclusion reveals the advantage of the FHCS and VM migration method over existing procedures such as GA, PSO and ACS in terms of energy consumption and resource utilisation. The proposed method achieves 68 Kwh less energy and 72% less resources than existing methods. Simulation results have shown that energy consumption of the proposed method is reduced with less number of active PMs than other conventional approaches.

  • Automatic Remote Car Locker Using Bluetooth Low Energy Wireless Communication
    Syed Mohd Faraaz, B. Balaji Naik, and Dhananjay Singh
    Springer Singapore
    The advancement in technology has enabled us to transform from manually controlled devices to automatically controlled devices and smartphones find extensive applications in such a transformed system. Smartphones have become an important part of our lives. The number of smartphone users have increased rapidly as nowadays smartphones not only provide the basic processes such as dialling and receiving calls or sending text messages but they also interact and control a variety of devices such as computers, televisions, locks, cars, etc. In this paper we design and implementation of a remote lock system using wireless Bluetooth communications. The remote lock system is controlled by a dedicated android application which interacts with the hardware installed in the car and locks/unlocks the car without providing any manual inputs through the android app.

  • Developing a Cloud Computing Data Center Virtual Machine Consolidation Based on Multi-objective Hybrid Fruit-fly Cuckoo Search Algorithm
    B Balaji Naik, Dhananjay Singh, A.B. Samaddar, and Sangsu Jung
    IEEE
    The virtual machine (VM) placement problem is a major issue in optimizing resource utilization of cloud data center. With rapid development of cloud computing, efficient algorithms are needed to reduce the power consumption and save energy in the cloud data center. Many researchers have investigated Meta heuristics algorithms to solve this problem based on the NP-Hard problem. In this paper, we consider a novel multi-objective Hybrid Fruit-fly Algorithm for virtual machine consideration in the cloud data center. The proposed algorithm is based on the works based on the VM Migration, which are mainly used to minimize over provisioning of physical machine by consolidating VMs on under-utilized physical machine (PM). The experimental results show that the proposed multi objective hybridized Fruitfly optimization technique which is based on the modified cuckoo search algorithm enhances the convergence rate and its optimization accuracy is comparable to other existing multi objective algorithms. The proposed algorithm results show that a significant reduction of unnecessary VM migration, avoids unstable host selection and also improves the application performance and efficiencies of power usage.

  • Security attacks on information centric networking for healthcare system
    B Balaji Naik, Dhananjay Singh, A. B. Samaddar, and Hoon-Jae Lee
    IEEE
    The Information Centric Networking (ICN) is a novel concept of a large scale ecosystem of wireless actuators and computing technologies. ICN technologies are getting popular in the development of various applications to bring day-to-day comfort and ease in human life. The e-healthcare monitoring services is a subset of ICN services which has been utilized to monitor patient's health condition in a smart and ubiquitous way. However, there are several challenges and attacks on ICN. In this paper we have discussed ICN attacks and ICN based healthcare scenario. We have proposed a novel ICN stack for healthcare scenario for securing biomedical data communication instead of communication networks. However, the biomedical data communication between patient and Doctor requires reliable and secure networks for the global access.

RECENT SCHOLAR PUBLICATIONS

  • Correction: Energy-efficient task offloading and efficient resource allocation for edge computing: a quantum inspired particle swarm optimization approach
    BB Naik, B Priyanka, MSA Ansari
    Cluster Computing 28 (4), 278 2025

  • Energy-efficient task offloading and efficient resource allocation for edge computing: a quantum inspired particle swarm optimization approach
    BB Naik, B Priyanka, SA Ansari
    Cluster Computing 28 (3), 155 2025

  • Energy and Cost Aware Workflow Offloading Using Quantum Inspired Differential Evolution in the Cloud Environments
    B Priyanka, BB Naik, TP Reddy
    Journal of Network and Systems Management 33 (1), 19 2025

  • Quantum-inspired differential evolution with decoding using hashing for efficient user allocation in edge computing environment
    M Bey, P Kuila, BB Naik
    IEEE transactions on emerging topics in computing 2024

  • Quantum-Inspired Differential Evolution Based Efficient IoT Service Placement in Edge Networks
    M Bey, P Kuila, BB Naik
    2024 15th International Conference on Computing Communication and Networking 2024

  • Blockchain-Assisted Trust Management in Vehicular Ad-Hoc Network
    S Banerjee, P Kuila, BB Naik
    2024 15th International Conference on Computing Communication and Networking 2024

  • Taming the Monkeypox Outbreak with Deep Learning for Skin Lesion Detection
    MTS Ankita, B Khanal, S Gupta, M Singh, BB Naik, MSA Ansari
    International Conference on Computational Intelligence in Communications and 2024

  • Energy efficient workflow scheduling in cloud computing systems using particle swarm optimization
    B Naik, P Kuila
    Proceedings of the International Conference on Signal Processing and 2024

  • An SQL query generator for cross-domain human language based questions based on NLP model
    BB Naik, TJVR Reddy, KRV karthik, P Kuila
    Multimedia Tools and Applications 83 (4), 11861-11884 2024

  • Quantum-inspired particle swarm optimization for efficient IoT service placement in edge computing systems
    SG Marlom Bay, Pratyay Kuila, Balaji Naik
    Expert Systems with Application 2023

  • Energy and delay efficient partial offloading for uav-assisted mec systems using differential evolution algorithm
    D Dhingan, S Ghosh, BB Naik, P Kuila
    2023 Third International Conference on Secure Cyber Computing and 2023

  • A Novel Heuristic Max Ratio based Workflow Scheduling Algorithm for Cloud
    BB Naik, P Kuila, T Biswas, MC Govil, D Singh
     2023

  • Secure virtual machine allocation against attacks using support value based game policy
    BB Naik, D Singh, AB Samaddar
    International Journal of Communication Systems 34 (2), e4299 2021

  • FHCS: Hybridised optimisation for virtual machine migration and task scheduling in cloud data center.
    BB Naik, D Singh, AB Samaddar
    IET Commun. 14 (12), 1942-1948 2020

  • Multi‑objective Virtual Machine Selection in Cloud Data Centers Using Optimized Scheduling
    ABS Banavath Balaji Naik, Dhananjay Singh
    Wireless Personal Communications 116, 2501–2524 2020

  • Automatic remote car locker using bluetooth low energy wireless communication
    SM Faraaz, BB Naik, D Singh
    Computational Intelligence, Communications, and Business Analytics: Second 2019

  • Developing a cloud computing data center virtual machine consolidation based on multi-objective hybrid fruit-fly cuckoo search algorithm
    BB Naik, D Singh, AB Samaddar, S Jung
    2018 IEEE 5G World Forum (5GWF), 512-515 2018

  • Security attacks on information centric networking for healthcare system
    BB Naik, D Singh, AB Samaddar, HJ Lee
    2017 19th International Conference on Advanced Communication Technology 2017

  • Data Balancing using SVM as Pre-Processor
    MAH Farquada, G Lathaa, B Naika, R Kiranmaia
     2014

MOST CITED SCHOLAR PUBLICATIONS

  • FHCS: Hybridised optimisation for virtual machine migration and task scheduling in cloud data center.
    BB Naik, D Singh, AB Samaddar
    IET Commun. 14 (12), 1942-1948 2020
    Citations: 76

  • Quantum-inspired particle swarm optimization for efficient IoT service placement in edge computing systems
    SG Marlom Bay, Pratyay Kuila, Balaji Naik
    Expert Systems with Application 2023
    Citations: 28

  • Multi‑objective Virtual Machine Selection in Cloud Data Centers Using Optimized Scheduling
    ABS Banavath Balaji Naik, Dhananjay Singh
    Wireless Personal Communications 116, 2501–2524 2020
    Citations: 16

  • Developing a cloud computing data center virtual machine consolidation based on multi-objective hybrid fruit-fly cuckoo search algorithm
    BB Naik, D Singh, AB Samaddar, S Jung
    2018 IEEE 5G World Forum (5GWF), 512-515 2018
    Citations: 11

  • Security attacks on information centric networking for healthcare system
    BB Naik, D Singh, AB Samaddar, HJ Lee
    2017 19th International Conference on Advanced Communication Technology 2017
    Citations: 10

  • Energy and delay efficient partial offloading for uav-assisted mec systems using differential evolution algorithm
    D Dhingan, S Ghosh, BB Naik, P Kuila
    2023 Third International Conference on Secure Cyber Computing and 2023
    Citations: 7

  • Secure virtual machine allocation against attacks using support value based game policy
    BB Naik, D Singh, AB Samaddar
    International Journal of Communication Systems 34 (2), e4299 2021
    Citations: 6

  • An SQL query generator for cross-domain human language based questions based on NLP model
    BB Naik, TJVR Reddy, KRV karthik, P Kuila
    Multimedia Tools and Applications 83 (4), 11861-11884 2024
    Citations: 5

  • Quantum-inspired differential evolution with decoding using hashing for efficient user allocation in edge computing environment
    M Bey, P Kuila, BB Naik
    IEEE transactions on emerging topics in computing 2024
    Citations: 4

  • Automatic remote car locker using bluetooth low energy wireless communication
    SM Faraaz, BB Naik, D Singh
    Computational Intelligence, Communications, and Business Analytics: Second 2019
    Citations: 2

  • Blockchain-Assisted Trust Management in Vehicular Ad-Hoc Network
    S Banerjee, P Kuila, BB Naik
    2024 15th International Conference on Computing Communication and Networking 2024
    Citations: 1

  • Energy efficient workflow scheduling in cloud computing systems using particle swarm optimization
    B Naik, P Kuila
    Proceedings of the International Conference on Signal Processing and 2024
    Citations: 1