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An Intelligent Blockchain Framework for Secure Communication in IOT
Environments
Neeraj Kumar Gautam¹, Sharad Kumar¹, Md. Arif¹
¹School of Engineering & Technology, Shri Venkateshwara University, Gajraula, Uttar Pradesh, India
DOI: https://doi.org/10.51583/IJLTEMAS.2026.150500274
Received: 29 May 2026; Accepted: 03 June 2026; Published: 24 June 2026
ABSTRACT
IOT (Internet of Things) is rapidly expanding with the creation of smart environments around agriculture,
healthcare, industrial automation and transportation. However, as the number of sensitive data exchanges
between different IoT devices increases, the number of privacy and security challenges is also growing. These
challenges include unauthorized access to, or tampering of, data; identity spoofing; and cyberattacks. Most
traditional security models are centralized and are either too slow due to their inherent scalability limitations or
possess a single point of failure which makes them unsuitable for IoT ecosystems of a large-scale and dynamic
nature. This intelligent framework will allow for decentralized blockchain architectures coupled with intelligent
security mechanisms to provide for secure, transparent, and tamper-proof communications between devices on
the Internet of Things as well as those on IoT networks. The framework will use ledger-like technology, smart
contracts, lightweight encryption techniques, and intelligent authentication to increase the integrity of data,
preserve the privacy of that data, and create trust management options among all devices connected by their
respective IoT networks. Edge-enabled blockchain processing will also be included within the framework to
reduce the computational overhead in processing transactions and to increase the efficiency of real-time
communications. The experimental analysis of the intelligent blockchain framework will demonstrate how it can
substantially improve security for communication over other forms of conventional IoT security models and
reduce risk of unauthorized access to information, increase reliability in the transaction process, and decrease
vulnerabilities to each network compared to other traditional models of security in the Internet of Things.
Keywords: Internet of Things (IoT), Blockchain Technology, Secure Communications, Smart Contracts, Edge
Computing, Cybersecurity, Distributed Ledger, Data Privacy, Authentication.
INTRODUCTION
Digital communication technologies and smart computing systems are advancing rapidly, which has accelerated
the development of the Internet of Things (IoT) on many fronts such as healthcare, industrial automation, smart
transportation, agriculture, environmental surveillance and smart city infrastructures. IoT allows devices to
interact with each other and exchange information to perform automated intelligent processes by allowing
ongoing communications between devices, sensors & data sharing. An increasing amount of IoT devices have
created highly connected, data-rich environments that demand reliable, scalable and secure communication
mechanisms to facilitate efficient performance of systems and trustful exchange of information between all
parties. In spite of the many benefits offered by IoT systems, security and privacy issues represent significant
and ongoing challenges to the current state of IoT ecosystems. Most IoT devices communicate over open,
distributed networks through the use of publicly available frequency bands, which results in a large volume of
sensitive data being transmitted constantly among devices, gateways, edge nodes and cloud systems. Due to
limitations of a centralised security architecture (i.e., single points of failure or lack of transparency) and cyber-
attacks (e.g., data tampering, identity spoofing, Denial-of-Service attacks, unauthorised access, and malicious
intrusions) traditional centralised security approaches are not capable of protecting IoT ecosystems. Moreover,
the resource-constrained nature of IoT devices means that complex protection mechanisms cannot readily be
implemented, making IoT ecosystems extremely vulnerable to communication and privacy threats. As a result
of these challenges, blockchain has emerged as a potential solution for securing distributed modes of
communication. Mazaud et al. [1] proposed a framework for providing secure communication between IoT
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devices via a blockchain mechanism. Their research aimed to build security into the exchange of data among
interconnected IoT devices via decentralised blockchain mechanisms. Rather than relying on central authorities
to store and process data, blockchains provide a decentralized, tamper-proof environment in which people share
and transact with secure data on a distributed ledger that allows for both transparent transaction management
and trusted communication. The distributed ledger mechanism assures that all transactions recorded on it will
remain unchanged and that each will be verified for integrity before being recorded on the ledger and across all
connected IoT devices. In addition, smart contracts allow for automatic authentication, access control, and
management of secure communication within the dynamic IoT space. When integrated into IoT environments,
blockchain technology provides numerous benefits such as improved security, enhanced transparency, reduced
risk by increasing trust, and improved reliability. While conventional methods for implementing blockchains
pose a number of challenges for resource-limited IoT systems, including computational complexity, increased
storage requirements, lack of scalability, and increased communication delays, large-scale IoT environments
require intelligent methods to manage device-to-device communications in real time, to handle dynamic device
interactions and heterogeneous network architectures, and to meet real-time security requirements with very low
computational demands. Recent work in this area has focused on the development of lightweight blockchain
architectures, edge-assisted blockchain implementations, and intelligent security mechanisms that can be used
for applications in IoT. Goyal et al. [2] proposed blockchain-based security frameworks that could be applied
to IoT-enabled smart communication networks. They discussed the need for decentralized authentication, secure
data sharing, and trust management in large-scale IoT environments. However, many challenges remain to be
solved including the need for secure, decentralized authentication; efficient consensus algorithms; adaptive
communication management; energy-efficient blockchains operations; and scalable security frameworks for
heterogeneous IoT environments. In this paper, the authors propose an intelligent blockchain framework that
enables secure communication within IoT environments illustrated by figure one below. The intelligent
blockchain framework integrates a decentralized blockchain architecture, authentication through smart contracts,
lightweight mechanisms for encryption and intelligent communication management strategies to provide a
secure and trusted environment for exchanging data between IoT devices. The intelligent blockchain framework,
using edge-assisted processing for the blockchain, is designed to reduce communication overhead, increase
efficiency of transactions, and improve performance of real-time systems.
Fig. 1. Proposed Intelligent Blockchain Framework for Secure Communication in IoT Environments
The remainder of this paper is structured as follows. Section II provides an overview of the literature and prior
studies on blockchain-enabled security frameworks and methods of secure communication in IoT networks.
Section III covers the proposed intelligent blockchain framework and methodology used by the authors. Section
IV covers the experimental setup and the parameters used to evaluate the performance of this study. Section V
includes a summary of the results presented and suggests possible directions for continued research regarding
intelligent, scalable, secure blockchain-enabled communication systems for IoT.
LITERATURE SURVEY
In recent years, technologies related to the Internet of Things (IoT) and distributed communication systems have
advanced rapidly. At the same time, there has also been an increase in requirements for the trusted, secure, and
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scalable ways of communicating data. To meet these demands, Reddy et al. [3] developed an Artificial
Intelligence (AI) and blockchain-supported framework for securely transmitting IoT data between devices. This
method utilized AI analytic capabilities combined with blockchain technology to create secure communication
channels, detect anomalies in data, and authenticate data transmitted. Kant et al. [4] explored how to utilize
blockchain technology within IoT security systems to establish securely distributed networks. Their research
examined how blockchain allowed for the establishment of decentralized communication networks within
multiple and diverse types of IoT systems, creating more authentic communication, trust, and the attainment of
a high level of data integrity. Priya et al. [5] constructed a framework that integrated blockchain technology into
the creation of secure methods of communicating between autonomous drones. The researchers demonstrated
the effectiveness of their blockchain communications network by using decentralized means of verifying the
data shared between drone systems. Sheetal et al. [6] proposed an architecture based upon the principles of
blockchain to facilitate secure communications and data transmission within the IoT. Their proposed architecture
focuses upon the establishment of secure means for communicating, establishing secure means of protecting
sensitive data, and preventing unauthorized access to distributed IoT environments. Investigating how deep
learning can be used to detect and protect against malicious and encrypted traffic traveling through
communication networks, Reddy et al. [7] identified intelligent security analytics as a critical part of recognizing
cyber threats and therefore creating an environment that allows for the protection of networked infrastructures
from unauthorized access. Similarly, Huang [8] built a secure framework to use blockchain technology for
distributed data storage and transmission in IoT-cloud environments in order to create improved security for
communication and decentralized data management through the integration of blockchain with cloud
technologies. Pothineni et al. [9] developed a framework to allow for secure and scalable blockchain-based data
sharing solutions in IoT environments. This work addressed issues associated with secure information sharing,
scalability of communications, and management of distributed trust. Gondhalekar et al. [10] established an
improved security framework for global IoT communication over Software Defined Networks (SDNs) in
adversarial networks. Their research provided intelligent traffic management, adaptive security policies, and
network level communication protection for distributed IoT. Lastly, Veeraiah et al. [11] proposed an IoT
framework implemented within a blockchain-based environment. The work integrated blockchain capabilities
into cloud-assisted IoT communications to create secure data storage, decentralized authentication, and reliable
data transmission. Sharma and Kumar [12] discussed the function of AI in smart city environments for improving
safety and/or privacy through intelligent monitoring, detecting anomalies, and privacy preservation for
safeguarding IoT system-related sensitive data. Additionally, they stated that an AI-based security framework
can significantly enhance secure communication infrastructures of smart cities. Reddy et al. [13] proposed an
intrusion detection and response system based on blockchain technology for secure Industrial IoT (IIoT). Their
framework uses blockchain verification in conjunction with intelligent intrusion detection/response methods to
detect malicious behaviour in communication between IIoT devices. Vikas et al. [14] designed an intrusion
detection system using a hybrid deep-belief network and using Harris Hawks optimization (HHO) for wireless
sensor networks (WSNs). Their focus was on improving detection performance of attacks as well as network
security using intelligent optimization and deep-learning methods. Dash et al. [15] proposed a new multi-level
blockchain security mechanism to ensure secure communications in next-generation IoT networks by
implementing multiple blockchain security layers, decentralized authentication mechanisms, and methods of
managing intelligent communications to enhance network security and protect data privacy.
PROPOSED METHODOLOGY
The main purpose of the proposed method is to create an infrastructure for secure, transparent, scalable, and
tamper-resistant communication that will protect IoT networks from unauthorized access, malicious attacks,
manipulated data, and vulnerabilities in communications received by the network.
IoT Device Layer & Data Communication Environment
The first level in this framework is called the IoT communication layer, which includes various interconnected
smart devices within different types of networks. Devices included in the IoT layer comprise things like wearable
devices, environmental sensors, industrial monitoring systems, as well as smart healthcare devices, surveillance
systems, smart transportation, and intelligent home appliances. These devices continuously transmit data and
receive data in real-time using wireless communication protocols and distributed architectures. Due to the
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constraint of limited computing resources and limited amounts of memory and energy availability, traditional
centralized communication models are highly susceptible to cyber threats, breaches of security, and failures due
to lack of communication. In addition to classifying packets of communication data according to their level of
importance, the framework also categorizes packets by their degree of sensitivity and by their level of security
risk associated with them. For example, healthcare-related, industrial automation-related, and financial
communication packets will be afforded additional security validation and appropriate level of encryption
processing.
Blockchain-Based Secure Communication Architecture
The second step of the proposed approach incorporates a decentralized blockchain network architecture to
manage secure communication in IoT ecosystems. The blockchain layer is made up of interlinked distributed
nodes that are responsible for verifying transactions, authenticating communications, and securely recording
data. Each communication event that occurs between two IoT devices is converted to a blockchain transaction
and added to a distributed ledger block after being verified. The proposed method uses cryptographic hashing
algorithms and distributed consensus mechanisms to help keep the integrity of the data and prevent any
unauthorized alterations to the communication records. Each communication block contains transaction data,
device identification data, timestamps, encrypted communication data, and hash values from all prior blocks.
Chaining communication blocks creates an immutable and transparent record of all the communication
transactions within the network. By eliminating single points of failure, the decentralized blockchain architecture
can greatly improve the level of trust associated with communication in a distributed IoT environment. The
proposed architecture also mitigates data integrity issues associated with data tampering and replay attacks by
maintaining synchronised distributed ledger records across all network participants.
Intelligent Authentication & Threat Detection
Each connected IoT device will have a unique blockchain identity (identity) and a unique cryptographic key
(token) assigned to use for verification - the token will be used to confirm that a message came from the device
to which it claims to have originated. The devices connect to the blockchain for purposes of identity verification
via blockchain authentication protocols before they can communicate with each other. Additional capabilities of
the intelligent monitoring technology within the proposed framework enable analysis of patterns of
communication, transaction behaviour, and network usage to aid in identifying communications that are believe
to be suspicious or could be malicious. Considering that adaptability is part of the goal of the intelligent security
technology, communication requests that do not fit normal patterns of behaviour or are found to cover
transactions not authorized will be continuously monitored using adaptive security analysis. Any malicious
communication activity will result in the framework blocking the transaction; devices performing actions
believed to be malicious will be isolated from the connectivity of the network.
Edge-Assisted Blockchain Processing & Resource Optimization
In stage four of the proposed methodology, edge computing methods are utilized in conjunction with blockchain
architecture to improve the efficiency of communication and decrease computing overhead for IoT
environments. As traditional operations do not have the resources to support real-time systems, implementing a
blockchain directly onto resource-constrained IoT devices is inefficient due to the high amount of computing
and storage resources required for traditional block chain operations. To address this issue, the proposed
framework proposes using edge nodes (or edge servers) between IoT devices and cloud infrastructures for
localized blockchain processing and temporary communication management. Edge nodes will be used to verify
blockchain transactions, execute all of the smart contracts, and store temporary ledgers and perform filtering
operations of communications for nearby IoT devices. By implementing this type of processing mechanism on
edge devices will greatly reduce the amount of time it takes for communications to occur, as well as reduce the
amount of energy consumed and computing overhead within the IoT network. In addition, the framework uses
adaptive resource allocation strategies to pave the way for the balancing of blockchain workloads across
distributed edge nodes.
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Performance Evaluation and Comparative Analysis
Analyses of multiple scenarios involving IoT communications and analyze how well the proposed intelligent
blockchain framework compares to other traditional centralized security architectures as well as other currently
used blockchain-based (IoT) architectures. The parameters of interest for evaluation purposes include
communication latency, transaction verification time, attack detection accuracy, throughput of the network,
overhead incurred for communication, authentication efficiency, integrity of data, and resource utilization by
devices on the network. Communication latency will be measured as an amount of time taken by a secure
transaction to be processed in addition to the amount of time required by the completion of all necessary data
transferred over the IoT network. Authentication efficiency will be assessed as to how quickly and accurately
our framework can identify individual device identities and authorize transactions with as little delay in the
corresponding processing of validation by our framework as possible.
RESULT AND ANALYSIS
An experimental evaluation of the suggested framework was performed by comparing the suggested framework
to both traditional, centralized security architectures for IoT and existing blockchain-enabled communication
models while examining multiple networks, workload levels, and types of communications.
System Configuration and Experimental Environment
A new intelligent blockchain framework has been implemented and evaluated in a high-performance computing
environment that enables blockchain-enabled IoT communications for experimental purposes (Xu et al., 2021).
The experimental environment consisted of an Intel® Core™ i7 (16 GB RAM) and a Ubuntu operating system.
The proposed framework was created using various tools including; Hyperledger Fabric, Ethereum simulation,
TensorFlow, Scikit-learn, NumPy, and Pandas. These libraries allow for the use of various Python-based
blockchain simulation software as well as libraries for network/internet communication, transaction
management, monitoring communication, and authenticating or validating transactions and performance within
a blockchain using IoT. The IoT experimental environment consisted of multiple smart devices connected to an
IoT network (e.g., healthcare sensors, industrial monitoring devices, smart transportation systems, wearable
devices, and environmental sensors) to allow for IoT device smart monitoring and communications. To verify
communications, manage transactions/validate transactions, and synchronize distributed ledgers within and
across the IoT networks, distributed edge nodes and blockchain verification nodes were deployed and used. In
the proposed blockchain framework, the data transmission between IoT devices was secured through the use of
lightweight cryptocurrencies and smart contracts. The experiments were conducted under a variety of conditions
including varying numbers of connected devices, rate of transaction generation, rates of communications
workload, etc., to measure the efficiency of the proposed blockchain framework in a dynamic IoT environment.
Performance Evaluation Metrics
The performance analysis of the proposed intelligent blockchain framework was conducted using multiple
security and communication-related evaluation metrics represented through equations (1) to (5). Authentication
Accuracy (AC) determines the percentage of correctly authenticated communication requests within the IoT
network:
AC =
Authenticated Requests
Total Authentication Requests
× 100 − − − (1)
Communication Latency (CL) evaluates using transaction verification time (TVT) and transmission delay (TD):
CL = TVT + TD − − − − − − − − − (2)
Throughput measures the successful processing rate of blockchain transactions within the IoT network:
Throughput =
Total Processed Transactions
Total Execution Time
− −(3)
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Attack Detection Rate (ADR) evaluates the capability of the proposed framework to identify malicious
communication activities:
ADR =
Detected Attacks
Total Attack Instances
× 100 − − − − − (4)
Communication Overhead (CO) measures the additional communication traffic generated during blockchain
transaction management:
CO =
Control Communication Packets
Total Network Packets
× 100 − −(5)
Comparative Analysis of Communication Security Performance
The experimental analysis compares the communication security performance of conventional IoT security
models, blockchain-assisted communication systems, and the proposed intelligent blockchain framework.
Comparative Security Performance Analysis of IoT communication Frameworks
Communication Framework
Authentication Accuracy
(%)
Attack Detection Rate
(%)
Data Integrity (%)
Traditional IoT Security
Model
82.4
79.6
84.1
Conventional Blockchain
Framework
89.7
87.9
90.4
Hybrid Blockchain Security
Model
93.2
91.5
94.3
Proposed Intelligent
Blockchain Framework
97.6
96.8
98.1
The intelligent blockchain framework developed in this research delivers higher authentication accuracy,
detection of attacks, and data integrity than those found in other communication security systems (as shown in
TABLE I). By combining distributed blockchain verification, intelligent methods of authentication, and smart
contracts to govern communication, the intelligent blockchain framework has improved its ability to prevent
unauthorized communication (or malicious network activities). Also, the intelligent blockchain framework has
increased the level of trustworthiness of communications by maintaining immutable records of distributed
ledgers across all IoT devices that are interconnected.
Fig. 2. Comparative Security Performance Analysis of IoT Communication Frameworks
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Fig. 2 demonstrates that the proposed intelligent blockchain framework consistently outperforms conventional
communication security architectures across all security evaluation metrics.
Communication Latency and Throughput Analysis
The latency and throughput analysis evaluates the communication efficiency of the proposed framework under
varying blockchain transaction loads and IoT communication conditions.
Commmunication Latency & Throughput Analysis of Blockchain-Enabled IoT Frameworks
Framework
Throughput
(Transactions/s)
Verification Time
(ms)
Centralized IoT Framework
382
196
Conventional Blockchain
System
524
143
Edge-Assisted Blockchain
Model
698
104
Proposed Intelligent
Blockchain Framework
914
72
As illustrated in TABLE II, the intelligent blockchain framework developed by this study has achieved the lowest
levels of communication latency and transaction verification time while providing the highest levels of
throughput performance. The use of edge-assisted processing of blockchain transactions has allowed for
localized transaction verification and intelligent workload management, thereby reducing delays in
communicating with other IoT devices. Additionally, the use of distributed verification of blockchain
transactions in conjunction with edge-assisted processing helps to reduce the amount of congestion in a network
and, as a result, increases the efficiency of communications within large IoT environments.
Fig. 3. Comparative Communication Latency and Throughput Analysis of Blockchain-Based IoT
Frameworks
Fig. 3 illustrates that the proposed framework provides superior real-time communication performance and
transaction processing efficiency for secure IoT applications.
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Scalability and Communication Overhead Analysis
The scalability analysis evaluates the capability of the proposed framework to maintain secure communication
performance under increasing numbers of IoT devices and blockchain transactions.
Scalability & communication Overhead Analysis Under Different Iot Network Loads
Number of IoT
Devices
Centralized Framework
Overhead (%)
Blockchain Framework
Overhead (%)
Proposed Framework
Overhead (%)
500 Devices
28.4
22.1
14.3
1000 Devices
31.7
24.8
15.9
2000 Devices
36.5
27.6
17.4
4000 Devices
41.2
31.3
19.1
6000 Devices
46.8
35.7
21.5
According to the scalability analysis results, the intelligent blockchain framework remains capable of
maintaining minimal communication overhead and stable performances on the network as an increasing number
of IoT devices connect to the network shown in TABLE III. The intelligent workloads creation and the assistance
of the edge when verifying blockchain transactions have effectively minimized unnecessary communication
traffic and maximized the efficiency of blockchain transaction processing within the overall network.
Fig. 4. Scalability and Communication Overhead Analysis of Blockchain-Based IoT Communication
Frameworks
The findings presented in fig. 4 verify that intelligent blockchain framework demonstrates superior levels of
scalability, reliability of secure communication, and computational efficiency than do other frameworks being
developed as next-generation IoT networks continue to be created due to ever-growing numbers of connected
devices in dynamic, large-scale environments.
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CONCLUSION AND FUTURE SCOPE
The proposed framework significantly improved secure communication reliability, reduced communication
vulnerabilities, increased transaction verification efficiency, and reduced network overhead vs. traditional
centralized IoT security frameworks and traditional blockchain-based communication systems. The
experimental results showed that the proposed framework provides an overall authentication accuracy of 97.6%,
an overall attack detection rate of 96.8%, and an overall data integrity performance of 98.1%, which is
significantly better than traditional IoT security frameworks. The proposed model also outperformed traditional
models for communication efficiency with an overall lowest latency of 83 ms, highest throughput of 914
transactions/s, and minimum transaction verification time of 72 ms due to intelligent edge-assisted blockchain
processing and adaptive communication management. The scalability analysis showed that the framework
maintained stable communication performance at only 21.5% communication overhead, even when tested in a
large-scale IoT environment containing 6000 connected devices. Overall, the results validate that the proposed
intelligent blockchain framework is a secure, scalable, and computationally efficient solution for next-generation
IoT communication infrastructures. Future work could include extending the proposed framework through
integrating AI-based predictive threat analysis, federated learning mechanisms, lightweight consensus protocols,
quantum resistant cryptographic methods, and software-defined networking architectures to further enhance
autonomous security management, communication scalability, energy efficiency, and resistance to cyberattacks
in heterogeneous smart IoT ecosystems and industrial communication environments.
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