Novel Trusted Hierarchy Construction for RFID Sensor–Based MANETs Using ECCs

Kumar, Adarsh; Gopal, Krishna; Aggarwal, Alok

doi:10.4218/etrij.15.0114.0177

Cited by 20 publications

(5 citation statements)

References 32 publications

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“…In digital content, the first unit introduces the basics of system security aspects followed by security primitives and protocols in the second unit. The third unit covers the system penetration‐testing at local and network levels [19,20,35]. The fourth unit discusses the various system architectures and their integration with security primitives and protocols to provide a fool‐proof security system.…”

Section: Experimental Setup and Results Analysismentioning

confidence: 99%

Digital device‐based active learning approach using virtual community classroom during the COVID‐19 pandemic

Singhal

Kumar

Singh

et al. 2020

Comp Applic In Engineering

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In India, traditional learning approaches in universities follow passive learning and instruction‐based studies. The demand for evidence‐based instructional and interactive active learning processes increases with the advancement in technology. To improve the quality of teaching and student performance, Laureate International University network has taken a unique initiative by applying an iterative and evidence‐based active learning process in small groups at the University of Petroleum and Energy Studies, Dehradun for the Postgraduate Certificate in Academic Practice program. In this study, active learning processes with digital devices (mobile devices) and digital technologies (modeling tools, simulation, and online resources), having virtual small‐to‐medium strength classrooms are integrated into various scenarios with different levels of education. This has been found to be useful in improving student performance during the COVID‐19 pandemic. The proposed process applies both traditional and active learning processes with the provision to use mobile devices for digital content. This process also involves teachers attending a Bootcamp, over a 2‐month period, consisting of four modules in which they learn about and use digital content that will then be applied in their courses. Results show that the active learning process is of great benefit to students over traditional learning, and it provides a 30% improvement in student's grades. Further, it is observed that long‐term learning average marks increase by 66.9% in two engineering subjects. The simulation‐based experimentations are conducted to engage students and faculty members in active learning and simulation learning processes. It shows that the proposed approach (active learning) improves students' learning abilities as compared to the traditional approach.

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Section: Experimental Setup and Results Analysismentioning

confidence: 99%

Digital device‐based active learning approach using virtual community classroom during the COVID‐19 pandemic

Singhal

Kumar

Singh

et al. 2020

Comp Applic In Engineering

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“…In contrast to global outliers, which are only related to behavioural attributes, contextual outliers are also related to contextual attributes. If a group of observations deviates significantly from the rest of the dataset as a whole, we call them an outlier group [15]. Several independent Intrusion Detection System (IDS) agents operating at the local level identify potential attacks.…”

Section: IImentioning

confidence: 99%

Anomaly Recognition in Wireless Ad-hoc Network by using Ant Colony Optimization and Deep Learning

Paul

2023

IJRITCC

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As a result of lower initial investment, greater portability, and lower operational expenses, wireless networks are rapidly replacing their wired counterparts. The new technology that is on the rise is the Mobile Ad-Hoc Network (MANET), which operates without a fixed network infrastructure, can change its topology on the fly, and requires no centralised administration to manage its individual nodes. As a result, MANETs must focus on network efficiency and safety. It is crucial in MANET to pay attention to outliers that may affect QoS settings. Nonetheless, despite the numerous studies devoted to anomaly detection in MANET, security breaches and performance difficulties keep coming back. There is an increased need to provide strategies and approaches that help networks be more safe and robust due to the wide variety of security and performance challenges in MANET. This study presents outlier detection strategies for addressing security and performance challenges in MANET, with a special focus on network anomaly identification. The suggested work utilises a dynamic threshold and outlier detection to tackle the security and performance challenges in MANETs, taking into account metrics such as end-to-end delay, jitter, throughput, packet drop, and energy usage.

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“…9 shows comparative throughput analysis of the proposed protocol with Kumar et al protocol [1]. Results show that the proposed protocol is having better throughput compared to Kumar et al protocol [46][47][48][49][50][51][52][53] because of connected hierarchical network construction and consideration of small-scale (50 to 500 nodes) to large scale (3000 to 5000 nodes) networks. Fig.…”

Section: Outlier Detection Approachmentioning

confidence: 99%

Availability Aspects Through Optimization Techniques Based Outlier Detection Mechanism in Wireless and Mobile Networks

Chugh¹,

Kumar²,

Aggarwal³

2018

IJCNC

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Radio Frequency IDentification (RFID) and Wireless Sensor Networks (WSN) are the two most prominent wireless technologies for implementing a complete smart environment for the Internet of Things (IoT). Both RFID and WSN are resource constraint devices, which forces us to go for lightweight cryptography for security purposes. Security in terms of confidentiality, integrity, authentication, authorization, and availability. Key management is one of the major constraints for resource constraint mobile sensor devices. This work is an extension of the work done by Kumar et al. using efficient error prediction and limit of agreement for anomaly score. This work ensures cryptographic property, availability, in RFID-WSN integrated network through outlier detection mechanism for 50 to 5000 nodes network. Through detection ratios and anomaly scores system is tested against outliers. The proposed outlier detection mechanism identifies the inliers and outliers through anomaly score for protection against Denial-of-Service (DoS) attack. Intruders can be detected in few milliseconds without giving any conflict to the access rights. In terms of throughput, a minimum improvement of 6.2% and a maximum of 219.9% is observed for the proposed protocol as compared to Kumar et al. Protocol and in terms of percentage of Packet Delivery Ratio (PDR), a minimum improvement of 8.9% and a maximum of 19.5% is observed for the proposed protocol as compared to Kumar et al. protocol.

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Novel Trusted Hierarchy Construction for RFID Sensor–Based MANETs Using ECCs

Cited by 20 publications

References 32 publications

Digital device‐based active learning approach using virtual community classroom during the COVID‐19 pandemic

Digital device‐based active learning approach using virtual community classroom during the COVID‐19 pandemic

Anomaly Recognition in Wireless Ad-hoc Network by using Ant Colony Optimization and Deep Learning

Availability Aspects Through Optimization Techniques Based Outlier Detection Mechanism in Wireless and Mobile Networks

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