HBSIDS: Human body sensor based intrusion detection system in a cooperative network

Gopal, R.; Parthasarathy, V.

doi:10.1109/icsemr.2014.7043675

Cited by 4 publications

(3 citation statements)

References 4 publications

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“…Thus, security in the B5G network focuses on supreme-built-in encryption (security as software); versatile security systems (AI-based security and applying AI in cybersecurity); and various manufactured based-automation (security automation) [88]. This has resulted in the development of various AI-based intrusion detection systems for wearable devices [89]- [92]. It also ensures data confidentiality and privacy is maintained in wearable devices resulting in increase in the trustworthiness and reliability of the end-users in the system.…”

Section: B Smartnessmentioning

confidence: 99%

Key Wearable Device Technologies Parameters for Innovative Healthcare Delivery in B5G Network: A Review

et al. 2022

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The future of healthcare relies heavily on the connection of humans to intelligent devices via communication networks for rapid medical response. Hence, the evaluation of the performance of smart wearable devices as veritable tools for prompt, pervasive, and proactive healthcare delivery to end-users in response to socio-economic dynamics is imperative especially as 5G unwinds and B5G emerges. Despite the boom in the wearable market and significant improvement in communication technologies, the translation of wearable data from clinical trials to valuable assets for practical medical application is burdened with varying challenges. This review provides an introspective analysis of the performance of unobtrusive wearable devices based on identified key performance indicators (KPIs) in relation to evolving generation networks in achieving innovative health care delivery. A total of 2751 articles pooled from 5 digital libraries were screened and 16 were selected for this review using PRISMA. The identified E-DISC wearable KPIs; energy efficiency, discretization, intelligence, secured network, and customizable standards are currently engrossed with both reliability and real-time issues that undermine its performance, perceptibility, and acceptability by end-users. The transformation of smart wearable devices' data from clinical trials into intangible resources for medical application is the fulcrum of innovative healthcare actualization. Further insight on how the identified challenges can be streamlined for smooth device alignment and transition to the emerging B5G network and its eco-friendly environment is also discussed. It is hoped that this will serve as a rallying point for research direction in translating prospective wearable solutions into a valuable resource for actualizing p-health.

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Section: B Smartnessmentioning

confidence: 99%

Key Wearable Device Technologies Parameters for Innovative Healthcare Delivery in B5G Network: A Review

et al. 2022

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“…Some of the current monitoring systems have low measurement accuracy. Accurate data recording is one of the essential parameters of monitoring [14]. The systems may occasionally incur errors in data recording.…”

Section: Introductionmentioning

confidence: 99%

Design and Evaluation of a Wearable Smart Blanket System for Monitoring Vital Signs of Patients in an Ambulance

2021

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Objectives. Considering the advantages of the wearable systems (such as continuous monitoring, ease of installation, and significant efficiency), they can also be used to monitor patients in emergency situations and, particularly, in the ambulance. This study is aimed at specifying, modeling, and evaluating a wearable smart blanket system for monitoring vital signs in emergency circumstances. Method. At first, all the smart blanket system requirements were specified using an author-made questionnaire, and the essential requirements were specified in the software requirements specification format. Such an anticipated smart wearable blanket is then modeled by Unified Modeling Language. Finally, the most important quality attributes (i.e., the nonfunctional requirements) of the proposed wearable smart blanket system were evaluated using a descriptive-analytical study. Results. Evaluation results of the proposed system show that using the smart blanket system could not only provide the required functionalities, but also, it improved the important quality attributes such as response time and delay in sending data packets (14% improvement), accuracy, energy consumption (18% improvement), reliability and fault-tolerance, and performance (28% improvement) in contrast to the compared related work. Conclusion. Using a smart wearable blanket in an ambulance instead of such in a huge ambulance cabin would be beneficial in terms of time and space, ease of use, and maybe cost while providing the required functionalities besides having proper quality attributes.

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“…In [9] the detection of malicious nodes is done using the algebraic watch dog by watching the receiver side transmission. In [10] the energy consumption is decreased and the intruders among the military are detected using a human body sensor.…”

Section: Introductionmentioning

confidence: 99%

CAND-IDS: A Novel Context Aware Intrusion Detection System in Cooperative Wireless Sensor Networks by Nodal Node Deployment

Gopal¹,

Parthasarathy²

2016

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Cooperative wireless sensor networks have drastically grown due to node co-operative in unaltered environment. Various real time applications are developed and deployed under cooperative network, which controls and coordinates the flow to and from the nodes to the base station. Though nodes are interlinked to give expected state behavior, it is vital to monitor the malicious activities in the network. There is a high end probability to compromise the node behavior that leads to catastrophes. To overcome this issue a Novel Context Aware-IDS approach named Context Aware Nodal Deployment-IDS (CAND-IDS) is framed. During data transmission based on node properties and behavior CAND-IDS detects and eliminates the malicious nodes in the explored path. Also during network deployment and enhancement, node has to follow Context Aware Cooperative Routing Protocol (CCRP), to ensure the reliability of the network. CAND-IDS are programmed and simulated using Network Simulator software and the performance is verified and evaluated. The simulation result shows significant improvements in the throughput, energy consumption and delay made when compared with the existing system.

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HBSIDS: Human body sensor based intrusion detection system in a cooperative network

Cited by 4 publications

References 4 publications

Key Wearable Device Technologies Parameters for Innovative Healthcare Delivery in B5G Network: A Review

Key Wearable Device Technologies Parameters for Innovative Healthcare Delivery in B5G Network: A Review

Design and Evaluation of a Wearable Smart Blanket System for Monitoring Vital Signs of Patients in an Ambulance

CAND-IDS: A Novel Context Aware Intrusion Detection System in Cooperative Wireless Sensor Networks by Nodal Node Deployment

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