Adaptive Key Management Research Articles

A Comparative Analysis of Energy Consumption in Various Wireless Sensor Network Techniques

The objective of this study is to analyze the energy consumption associated with modern methodologies utilized in wireless sensor networks and to conduct a comparative assessment with Reed Solomon (RS) codes. This paper presents three discrete techniques for wireless sensor networks. The strategies mentioned include the Self-Evolving Sensor System (SESS), the Secure and Adaptive Key Management utilizing Multipath Routing Protocol (SAKM-MRP), and the National Instruments Secure Reference-based Data Aggregation (NI-SRDA). A distinct algorithm was developed for each method to examine the energy use. Based on the experimental results, it has been shown that the RS-codes approach consumes a considerably greater quantity of energy compared to the SESS methods, which, in contrast, exhibit a significantly lower energy consumption. When comparing the efficiency of RS-codes and SESS methods, it is observed that the SAKN-MRP technique exhibits a more significant decrease in energy consumption. Compared to the RS-Codes system, the SESS scheme stands out with a significant 45.5% reduction in energy usage at the maximum delivery node. Similarly, the SAKM-MRP scheme showcases an average decrease of 35.7% in energy consumption. Notably, the NI-SRDA scheme achieves an impressive 60% reduction in energy consumption, underscoring its remarkable impact on energy efficiency. In a broader sense, it can be inferred that the NI-SDRA technique holds promise as an energy-efficient solution for wireless sensor networks in comparison to alternative strategies suggested in the current study.

Privacy preservation of inventory management using adaptive key generation with Hyperledger blockchain technology

ABSTRACT The blockchain is an emerging and essential technology in offering various services to several applications including the financial industry and information technology. Consequently, recent information methodologies cannot satisfy the constraints. The data management issue may rise complexities including tracking operations with information security and unsatisfactory traceability data quality due to the high increase in inventory management data. To address the challenge, this paper aims to focus on developing new hyperledger blockchain-enabled secure inventory management with an adaptive key management process. Here, the inventory management data processed by different distributors is encrypted using the adaptive key generation by Fitness-derived Predator Presence Probability-based Squirrel Search Algorithm (FPPP-SSA) that ensures data control. The optimal key management in encryption solves the multi-objective function based on the “degree of modification information preservation rate and hiding ratio (Euclidean distance).” Once the data are enciphered, they are saved in the hyperledger blockchain, where the smart contract is the chain code application. While restoring or decrypting data, the authorized distributor should use the same adaptive key for maintaining secured inventory management. The performance is evaluated under diverse test cases, and the results are estimated under certain performance metrics.

A novel hybrid cryptographic framework for secure data storage in cloud computing: Integrating AES-OTP and RSA with adaptive key management and Time-Limited access control

The rapid proliferation of cloud computing has necessitated advanced security mechanisms to safeguard sensitive data stored in remote servers. However, this paradigm shift has raised several security concerns, particularly safeguarding private information stored on faraway cloud servers. This study proposes a ground-breaking hybrid cryptographic framework for the secure data storage requirements of cloud computing. The framework incorporates time-limited access control, adaptive key management, and two strong encryption methods: RSA and Advanced Encryption Standard - One Time Password (AES-OTP). AES-OTP and RSA provide symmetric and asymmetric encryption levels to improve data confidentiality and integrity. With the introduction of an intelligent framework for key creation, distribution, and rotation through the adaptive key management component, the security of cryptographic operations is gradually increased. Additionally, time-limited access control helps to protect data privacy by imposing rigorous temporal constraints on data access and reducing security flaws. The effectiveness of the suggested framework is confirmed by thorough performance assessments, which show astonishing accuracy, precision, recall, and F1-score values of 99.12%, 98.78%, 98.11%, and 98.56%. This demonstrates its outstanding skills in protecting private information from unauthorized access and guaranteeing its secrecy in cloud storage settings.

Design and Development of Improved Squirrel Search-based Secured VM Migration in the Cloud Sector with Optimal Key Management

This article aims to design a new secured data transmission, VM migration, and placement. VM is constructed for hosting the applications by taking the essential resources, and OS is given by the user after receiving a request from the customer by the data center of the cloud. Here, the best fitness index-based Squirrel Search Algorithm (BFI-SSA) to minimize the number of active servers in the cloud. Further, the BFI-SSA is used for implementing the optimal VM migration with the help of a multiobjective function using the makespan and energy consumption. For migrated VM, the secured data transmission is performed by the same improved SSA with “data sanitization and restoration” with adaptive key management. This BFI-SSA algorithm is intended to generate the key and to increase the privacy of the migrated data. The energy consumption of the designed method attains 8% regarding the best rate value. Moreover, the designed method attains a minimum cost function to get a higher convergence rate in the 40th iteration. The given offered method attains a better makespan rate regarding best rate values. Thus, the simulation result has outperformed the suggested model and has achieved low energy and power consumption when compared to other-state-of-art methods.

A novel communication‐aware adaptive key management approach for ensuring security in IoT networks

AbstractInternet of Things (IoT) encompasses heterogeneous communication devices and wireless technologies to provide ubiquitous access using end‐user devices. It operates on a common website for connecting versatile devices with seamless communication, data access and sharing. Communication through wireless medium requires enormous security features to protect both public and private data across different interconnected resources. Therefore, in this article, a communication‐aware adaptive key management (CAKM) is proposed to ensure two levels of security in IoT communication. The two‐levels of security include both device and message that is facilitated using certificate authority and key management. By exploiting the benefits of hyper elliptic curve cryptography (HECC), the communication‐aware adaptive key management ensures message authentication for the device requests. Initially, the device requests are classified on the basis of its service time and correlated to the time‐to‐live period of the certificate. The proposed method attains low computational time 10.9%, 30.2%, and 54.3%, high security level 10.9%, 30.2%, and 54.3%, high successful message rate 10.9%, 30.2%, and 54.3% and low key agreement time 10.9%, 30.2%, and 54.3% when compared to the three existing methods, such as bilateral generalization inhomogeneous short integer solution (Bi‐GISIS)‐based key management in IoT security (Bi‐GISIS‐IoT), hyper elliptic curve based public key cryptosystem in IoT security (HCCPK‐IoT) and enhanced symmetric key‐based authentication in IoT security (ESKA‐IoT). Finally, the proposed method provides an efficient security with low computational time.

A lightweight authentication scheme for 5G mobile communications: a dynamic key approach

The security of modern IoT Industry 4.0, 5G, 6G, Mobile ad hoc (MANET), narrowband internet of things (NB-IoT) and wireless sensory (WSN) networks and the autonomous computing capabilities of individual devices and self-organizing, greatly influence their applications in smart connected world. To achieve the sufficient security and privacy, autonomous and dynamic adaptive key management scheme and mutual authentication protocols should be provided to validate legitimacies of large number of nodes, users, devices, and servers in 5G networks. To this end, we propose a lightweight cipher approach that enhances the security level of communications and enables authentication and access control scheme that is implemented on a multi-layer communication architecture designed for NB-IoT 5G networks and resolve heterogeneity and scalability issues. It is well known that establishing an efficient cryptographic key generation and management scheme for machine-to-machine (M2M) and device-to-device (D2D) communication for IoT networks in 5G, the purposes of encryption and decryption is severely constrained by computation resources and performance. As a part of the network security, the key management plays a vital role in it. When compared to other schemes in PKI such as public key, pairwise-key and group-based key management, the dynamic-key based security is efficient in resource utilization and scalable which are the two key performance factors for Cloud based IoT/wireless sensory networks. Usually most IoT networks use a less secure communication channel that employs session keys in order to encrypt the communication. Additionally, in most IoT networks the resource consumption is constrained which then results in existing dynamic key generation algorithms being infeasible to run. It is still a challenging problem to securely interconnect and operate IoT protocols between constrained embedded devices. We propose a novel dynamic key generation scheme that takes the entropy and performs various operations to continuously generate a large set of unique keys. This type of key generation model is predominantly suitable for the conditions where the IoT devices cannot rely on constant key negotiation with dedicated servers as well as those devices which cannot reuse existing keys for encryption purposes. Performance evaluation using simulation and case study demonstrates that our dynamic key establishment scheme ensures an enhanced security level while reducing the communication overhead and the average latency for different category of IoT applications in 5G networks.

A Secure Crypto Base Authentication and Communication Suite in Wireless Body Area Network (WBAN) for IoT Applications

To monitor the functions of human body and their surroundings Wireless Body Area Network (WBAN) is used, which are based on low powered and light weight wireless sensors devices. WBAN highly supports numerous applications but this study will focus on the security of ubiquitous healthcare applications. In E-health research monitoring the critical data in terms of security has become a major challenge as WBAN deals with various threats day by day. Therefore the design of secure and reasonably resource optimal algorithms with a robust key generation and management scheme is today’s need. There must be only authorized user’s who can have access to patient related data; otherwise it can be exploited by anyone. This proposed study is aiming to formulate the two security suite for WBAN, which comprises on KBS keys, KAISC and Hash algorithm three improved versions of key management procedures and authentication procedure respectively. Firstly the KBS Keys and improved Hashing suite which is an independent and adaptive key management and authentication scheme for improving the security of WBANs will be used, and secondly KAISC will be used for inter-sensor communication and key management security scheme. All above mentioned procedures will be suitably blend with the encryption and decryption process which will securely send the patient’s critical data to the base station and further to the concerned doctor. The novelty of work is that the proposed methodology is not only simple but also advanced and much secured procedure of key generation and management that will be further validated by the performance analysis. This technique will be beneficial for the continuous monitoring of patient’s critical data in remote areas also.

A Security Suite for Wireless Body Area Networks

Wireless Body Area Networks (WBANs) have gained a lot of research attention in recent years since theyoffer tremendous benefits for remote health monitoring and continuous, real-time patient care. However, as with any wireless communication, data security in WBANs is a challenging design issue. Since such networks consist of small sensors placed on the human body, they impose resource and computational restrictions, thereby making the use of sophisticated and advanced encryption algorithms infeasible. This calls for the design of algorithms with a robust key generation / management scheme, which are reasonably resource optimal. This paper presents a security suite for WBANs, comprised of IAMKeys, an independent and adaptive key management scheme for improving the security of WBANs, and KEMESIS, a key management scheme for security in inter-sensor communication. The novelty of these schemes lies in the use of a randomly generated key for encrypting each data frame that is generated independently at both the sender and the receiver, eliminating the need for any key exchange. The simplicity of the encryption scheme, combined with the adaptability in key management makes the schemes simple, yet secure. The proposed algorithms are validated by performance analysis.

An Adaptive Key Management Framework for the Wireless Mesh and Sensor Networks

Wireless sensor networks (WSNs) and wireless mesh networks (WMNs) are popular research subjects. The interconnection of both network types enables next-generation applications and creates new optimization opportunities. Currently, plenty of protocols are available on the security of either wireless sensor networks or wireless mesh networks, an investigation in peer work underpins the fact that neither of these protocols is adapt to the interconnection of these network types. The internal cause relies on the fact that they differ in terms of complexity, scalability and network abstraction level. Therefore, in this article, we propose a unified security framework with three key management protocols, MPKM, MGKM, and TKM which are able to provide basic functionalities on the simplest devices and advanced functionalities on high performance nodes. We perform a detailed performance evaluation on our protocols against some important metrics such as scalability, key connectivity and compromise resilience, and we also compare our solution to the current keying protocols for WSNs and WMNs.