Efficient Bio-Signal Feature Based Secure Secret Key Generation Scheme a Simplified Model for Wireless Body Area Network (EFSKG Scheme)

Karthikeyan, M. V.; Manickam, J.

doi:10.1166/jmihi.2018.2415

Cited by 8 publications

(2 citation statements)

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“…The second type is LUT based on the quality of the BER value of the underutilized channels. To get maximum randomness in dynamic channel selection, an optimized EFPOC algorithm is proposed in this work, which obtained an efficient performance and minimum channel selection time [24]. The research had given a solution for the scarcity of the limited band for OP-BNC during increased user visitation to the hospital with an optimum EFPOC algorithm for dynamic channel selection.…”

Section: Random Channel Selection Intelligence Algorithm For Cr In Bn...mentioning

confidence: 99%

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Improving the Lifetime of an Out-Patient Implanted Medical Device Using a Novel Flower Pollination-Based Optimization Algorithm in WBAN Systems

et al. 2020

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The new inventions in health care devices have led to a considerable increase in the human lifespan. Miniaturized bio-sensing elements and dedicated wireless communication bands have led to the development of a new arena called Wireless Body Area Network (WBAN) (IEEE 802.11.6). These Implantable Medical Devices (IMDs) are used for monitoring a chronic patient’s medical condition as well as therapeutic and life-saving functions. The aim of this study is to improve the dynamic channel selection algorithm for an increased Out Patient-Body Network Controller (OP-BNC) medical device during visits to the hospital. There is a fixed number of licensed spectra allocated to the In Patient-Body Network Controller (IP-BNC) and Out-Patient Body Network Controller (OP-BNC). When there is an increase in the OP-BNC, there is an availability of idle spectrum in the IP-BNC. An existing rank-based algorithm is used in the allocation of idle spectrum to the increased OP-BNC. This ranking method takes more time for the processing and selection of an idle channel to the registered user. To avoid it, we proposed an EFPOC model to select from the free idle channels of the IP-BNC licensed spectrum. We also discussed the algorithm complexity of the proposed Enhanced Flower Pollination-based Optimized Channel selection (EFPOC) algorithm and obtained a complexity of O(n2), which is a significant improvement over the existing algorithm rank-based algorithm complexity. Our experimental result shows that the proposed EFPOC algorithm improves the Tier-2 systems lifetime by 46.47%. Then, to prove that the proposed model is time efficient in channel selection, a simulated experimented is conducted. When selecting a number of channels from a Look-Up Table (LUT), the proposed EFPOC method takes 25% less time than the existing algorithms.

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Section: Random Channel Selection Intelligence Algorithm For Cr In Bn...mentioning

confidence: 99%

“…The effective EFPOC channel allocation algorithm deployment strategy to the OP-IMD can influence the network lifetime eminently. Table 3 gives the following simulation setup parameters made in NS2 software [24]. The WBAN transmitter (BNC), receiver (APs), and the energy level are measured for dynamic channel selection.…”

Section: Simulation Setupmentioning

confidence: 99%

Improving the Lifetime of an Out-Patient Implanted Medical Device Using a Novel Flower Pollination-Based Optimization Algorithm in WBAN Systems

et al. 2020

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An enhanced flower pollination algorithm‐based chaff point generation method with hardware implementation in WBAN

Karthikeyan

Manickam

2020

Int J Communication

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SummaryIn wireless body area networks (WBAN), device authentication and key agreement are the critical issues. In any real‐world cryptographic system, issues like these can be handled by one of the most practical bio‐cryptosystem schemes popularly known as fuzzy vault (FV). The secret key is encoded in a polynomial equation merged with physiological value and then combined with chaff (noise) points forming the FV. The most critical and computational intensive task in the FV is the chaff point generation, that is used to hide the valid point inside the vault pattern. In this paper, we propose an Enhanced Flower Pollination Algorithm based Chaff Point generation method with Hardware (EFPCH) implementation and have been proved to be a computationally fast and feasible algorithm for hardware implementation. The security of the FV depends on the infeasibility of the polynomial reconstruction and also in large number of chaff point. The existing methods for chaff point generation had taken less number of valid points and generate a maximum of 200 chaff points. But in our experimental result, we generated large number of chaff point (1:12) with a considerable amount of valid points over the existing algorithm. This work describes the key agreement model and implementation step required for identifying External programmer attached to the patient pacemaker. However, existing key agreement schemes have too many computational intensive tasks, making it unsuitable for system‐on‐chip (SoC) implementation. In the result of the described work, a practical SoC implementation of the wireless environment in WBAN is experimented. The results show that our proposed model has a more efficient implementation in generating larger chaff points and performs better than other current methods.

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Mental Stress Assessment in Working Environment for an Individual Using Wearable Sensor of EEG and Pulse Signal Measured with Help of Deep Learning Algorithm

Karthikeyan,

Bhuvaneshwar,

Nishanth

2024

IFIP Advances in Information and Communication Technology

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Efficient Bio-Signal Feature Based Secure Secret Key Generation Scheme a Simplified Model for Wireless Body Area Network (EFSKG Scheme)

Cited by 8 publications

References 0 publications

Improving the Lifetime of an Out-Patient Implanted Medical Device Using a Novel Flower Pollination-Based Optimization Algorithm in WBAN Systems

Improving the Lifetime of an Out-Patient Implanted Medical Device Using a Novel Flower Pollination-Based Optimization Algorithm in WBAN Systems

An enhanced flower pollination algorithm‐based chaff point generation method with hardware implementation in WBAN

Mental Stress Assessment in Working Environment for an Individual Using Wearable Sensor of EEG and Pulse Signal Measured with Help of Deep Learning Algorithm

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