A Provable Secure and Efficient Authentication Framework for Smart Manufacturing Industry

Hammad, Muhammad; Badshah, Akhtar; Abbas, Ghulam; Alasmary, Hisham; Waqas, Muhammad; Khan, Wasim

doi:10.1109/access.2023.3290913

Cited by 8 publications

(3 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Li et al [43], considering the end-to-end route, developed a cluster-based algorithm for wireless mesh networks connected with the IoT to reduce the end-to-end delay and enhance the quality of the internet. Hammad et al [44] proposed a mutual authentication and key agreement scheme to increase the security of the smart manufacturing industry against different attacks. The proposed scheme uses bitwise XOR operations with physical unclonable function (PUF), along with the elliptic curve cryptography (ECC) and cryptographic hash functions.…”

Section: Related Workmentioning

confidence: 99%

Security Framework for Network-Based Manufacturing Systems with Personalized Customization: An Industry 4.0 Approach

Hammad,

Jillani,

Ullah

et al. 2023

Sensors

Self Cite

View full text Add to dashboard Cite

Smart manufacturing is pivotal in the context of Industry 4.0, as it integrates advanced technologies like the Internet of Things (IoT) and automation to streamline production processes and improve product quality, paving the way for a competitive industrial landscape. Machines have become network-based through the IoT, where integrated and collaborated manufacturing system responds in real time to meet demand fluctuations for personalized customization. Within the network-based manufacturing system (NBMS), mobile industrial robots (MiRs) are vital in increasing operational efficiency, adaptability, and productivity. However, with the advent of IoT-enabled manufacturing systems, security has become a serious challenge because of the communication of various devices acting as mobile nodes. This paper proposes the framework for a newly personalized customization factory, considering all the advanced technologies and tools used throughout the production process. To encounter the security concern, an IoT-enabled NBMS is selected as the system model to tackle a black hole attack (BHA) using the NTRUEncrypt cryptography and the ad hoc on-demand distance-vector (AODV) routing protocol. NTRUEncrypt performs encryption and decryption while sending and receiving messages. The proposed technique is simulated by network simulator NS-2.35, and its performance is evaluated for different network environments, such as a healthy network, a malicious network, and an NTRUEncrypt-secured network based on different evaluation metrics, including throughput, goodput, end-to-end delay, and packet delivery ratio. The results show that the proposed scheme performs safely in the presence of a malicious node. The implications of this study are beneficial for manufacturing industries looking to embrace IoT-enabled subtractive and additive manufacturing facilitated by mobile industrial robots. Implementation of the proposed scheme ensures operational efficiency, enables personalized customization, and protects confidential data and communication in the manufacturing ecosystem.

show abstract

Section: Related Workmentioning

confidence: 99%

Security Framework for Network-Based Manufacturing Systems with Personalized Customization: An Industry 4.0 Approach

Hammad,

Jillani,

Ullah

et al. 2023

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…The development of communication technology, the Internet of Things (IoT), sensor technology, big data, and simulation technology has significantly contributed to Development of a Digital Twin Prototype for Industrial Manufacturing Monitoring System Using IoT and Augmented Reality the technological advancements in the current industrial era, 4.0. Business models undergo significant changes, not only in the production process but also throughout the entire industrial value chain [1] [2]. Smart manufacturing has become a top priority for all manufacturing industries at present.…”

Section: Introductionmentioning

confidence: 99%

“…In the future, the IoT will play an increasingly pivotal role in operations across various industrial sectors [2]. The use and analysis of data will be crucial factors in decision-making.…”

Section: Introductionmentioning

confidence: 99%

Development of a Digital Twin Prototype for Industrial Manufacturing Monitoring System Using IoT and Augmented Reality

Dony Novaliendry,

Rahmat Febri Yoga Saputra,

Novi Febrianti

et al. 2024

Int. J. Onl. Eng.

View full text Add to dashboard Cite

The world is currently abuzz with the rapid development of technology in the era of Industrial Revolution 4.0. Various technological advancements are facilitating progress and accelerating the development of industrial technology. This evolution has led to automation in production processes, transitioning toward digitalization. With the implementation of sensors that provide real-time data, production processes can now be monitored remotely. However, direct monitoring is still necessary at times to periodically check the condition of each operating machine. Therefore, there is a need for technology that can monitor production processes and reduce high maintenance costs. Currently, numerous new technologies are emerging to enhance the performance and efficiency of production processes in various industries. One such technology is the digital twin. A digital twin is a visual representation that offers insights into the continuous operations of a system. This research focuses on an industrial manufacturing monitoring system that integrates the Internet of Things (IoT) and augmented reality (AR) technologies. The system is composed of an application and a prototype machine in the form of a conveyor, which can simulate a digital twin of the prototype machine. It also transmits sensor data and error notifications to the application in real time. The designed system can serve as a prototype for implementing digital twin technology, combining IoT and AR. This makes it possible to apply the technology to machinery and production tools in various industrial sectors.

show abstract

Lightweight authentication protocol for connected medical IoT through privacy-preserving access

Tanveer,

Chelloug,

Alabdulhafith

et al. 2024

Egyptian Informatics Journal

View full text Add to dashboard Cite

A Provable Secure and Efficient Authentication Framework for Smart Manufacturing Industry

Cited by 8 publications

References 25 publications

Security Framework for Network-Based Manufacturing Systems with Personalized Customization: An Industry 4.0 Approach

Security Framework for Network-Based Manufacturing Systems with Personalized Customization: An Industry 4.0 Approach

Development of a Digital Twin Prototype for Industrial Manufacturing Monitoring System Using IoT and Augmented Reality

Lightweight authentication protocol for connected medical IoT through privacy-preserving access

Contact Info

Product

Resources

About