Secure Surveillance Systems Using Partial-Regeneration-Based Non-Dominated Optimization and 5D-Chaotic Map

Ghosh, Gopal; Kavita, .; Anand, Divya; Verma, Sahil; Rawat, Danda B.; Shafi, Jana; Marszałek, Zbigniew; Woźniak, Marcin

doi:10.3390/sym13081447

Cited by 30 publications

(11 citation statements)

References 36 publications

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“…Tseng et al, [21] have introduced a model by proposing a group-based access structure and Cipher text-Policy Attribute-Based Encryption (CP-ABE) to cater to the issue of data confidentiality and access privacy over health data. Ghosh et al, [13] have demonstrated that neither the technique is efficient nor practically implacable.…”

Section: Review Of Authentication Schemes In Health Care Systemsmentioning

confidence: 99%

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A Secure Multi-factor Authentication Protocol for Healthcare Services Using燙loud-based SDN

Midha¹,

Verma²,

Kavita³

et al. 2023

Computers, Materials &Amp; Continua

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Cloud-based SDN (Software Defined Network) integration offers new kinds of agility, flexibility, automation, and speed in the network. Enterprises and Cloud providers both leverage the benefits as networks can be configured and optimized based on the application requirement. The integration of cloud and SDN paradigms has played an indispensable role in improving ubiquitous health care services. It has improved the real-time monitoring of patients by medical practitioners. Patients' data get stored at the central server on the cloud from where it is available to medical practitioners in no time. The centralisation of data on the server makes it more vulnerable to malicious attacks and causes a major threat to patients' privacy. In recent days, several schemes have been proposed to ensure the safety of patients' data. But most of the techniques still lack the practical implementation and safety of data. In this paper, a secure multi-factor authentication protocol using a hash function has been proposed. BAN (Body Area Network) logic has been used to formally analyse the proposed scheme and ensure that no unauthenticated user can steal sensitivepatient information. Security Protocol Animator (SPAN)-Automated Validation of Internet Security Protocols and Applications (AVISPA) tool has been used for simulation. The results prove that the proposed scheme ensures secure access to the database in terms of spoofing and identification. Performance comparisons of the proposed scheme with other related historical schemes regarding time complexity, computation cost which accounts to only 423 ms in proposed, and security parameters such as identification and spoofing prove its efficiency.

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Section: Review Of Authentication Schemes In Health Care Systemsmentioning

confidence: 99%

“…To ensure the confidentiality and privacy of patients' data, the proposed novel heterogeneous communication architecture provides a multifactor authentication policy. The proposed scheme exploits customized SDN and a framework [12][13][14] of body sensors coupled with IoT nodes, Cloud Analytics support for smart summarisation.…”

Section: Introductionmentioning

confidence: 99%

A Secure Multi-factor Authentication Protocol for Healthcare Services Using燙loud-based SDN

Midha¹,

Verma²,

Kavita³

et al. 2023

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

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“…The role of forger bees is to constantly visit the food source to obtain nectar. Scout bees are those who conduct random searches to discover new sources of food [ 33 ]. The pictorial representation of the bees’ searching process of food is illustrated in Figure 7 .…”

Section: Proposed Workmentioning

confidence: 99%

Robust and Secure Data Transmission Using Artificial Intelligence Techniques in Ad-Hoc Networks

Rani

Kavita

Verma

et al. 2021

Sensors

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The paper presents a new security aspect for a Mobile Ad-Hoc Network (MANET)-based IoT model using the concept of artificial intelligence. The Black Hole Attack (BHA) is considered one of the most affecting threats in the MANET in which the attacker node drops the entire data traffic and hence degrades the network performance. Therefore, it necessitates the designing of an algorithm that can protect the network from the BHA node. This article introduces Ad-hoc On-Demand Distance Vector (AODV), a new updated routing protocol that combines the advantages of the Artificial Bee Colony (ABC), Artificial Neural Network (ANN), and Support Vector Machine (SVM) techniques. The combination of the SVM with ANN is the novelty of the proposed model that helps to identify the attackers within the discovered route using the AODV routing mechanism. Here, the model is trained using ANN but the selection of training data is performed using the ABC fitness function followed by SVM. The role of ABC is to provide a better route for data transmission between the source and the destination node. The optimized route, suggested by ABC, is then passed to the SVM model along with the node’s properties. Based on those properties ANN decides whether the node is a normal or an attacker node. The simulation analysis performed in MATLAB shows that the proposed work exhibits an improvement in terms of Packet Delivery Ratio (PDR), throughput, and delay. To validate the system efficiency, a comparative analysis is performed against the existing approaches such as Decision Tree and Random Forest that indicate that the utilization of the SVM with ANN is a beneficial step regarding the detection of BHA attackers in the MANET-based IoT networks.

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“…Furthermore, usually enhancement algorithms rely on authentic parameter selection. This prompted a recommendation a robust enhanced Gabor filter by integrating it with various enhanced techniques such as gamma corrected adaptively with distributed weights (GCADW) [ 55 , 56 ], homomorphic filter [ 57 , 58 ], joint equalization of histogram (JEH) [ 59 , 60 ], unsharp masking filter, adaptive unsharp masking filter [ 61 , 62 ], and particle swarm optimization (PSO) based unsharp masking filter [ 63 , 64 ].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Vessel Segmentation Based on Various Enhancement Techniques for Improvement of Vessel Intensity Profile

Dash

Verma

Kavita

et al. 2022

Computational Intelligence and Neuroscience

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It is vital to develop an appropriate prediction model and link carefully to measurable events such as clinical parameters and patient outcomes to analyze the severity of the disease. Timely identifying retinal diseases is becoming more vital to prevent blindness among young and adults. Investigation of blood vessels delivers preliminary information on the existence and treatment of glaucoma, retinopathy, and so on. During the analysis of diabetic retinopathy, one of the essential steps is to extract the retinal blood vessel accurately. This study presents an improved Gabor filter through various enhancement approaches. The degraded images with the enhancement of certain features can simplify image interpretation both for a human observer and for machine recognition. Thus, in this work, few enhancement approaches such as Gamma corrected adaptively with distributed weight (GCADW), joint equalization of histogram (JEH), homomorphic filter, unsharp masking filter, adaptive unsharp masking filter, and particle swarm optimization (PSO) based unsharp masking filter are taken into consideration. In this paper, an effort has been made to improve the performance of the Gabor filter by combining it with different enhancement methods and to enhance the detection of blood vessels. The performance of all the suggested approaches is assessed on publicly available databases such as DRIVE and CHASE_DB1. The results of all the integrated enhanced techniques are analyzed, discussed, and compared. The best result is delivered by PSO unsharp masking filter combined with the Gabor filter with an accuracy of 0.9593 for the DRIVE database and 0.9685 for the CHASE_DB1 database. The results illustrate the robustness of the recommended model in automatic blood vessel segmentation that makes it possible to be a clinical support decision tool in diabetic retinopathy diagnosis.

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Secure Surveillance Systems Using Partial-Regeneration-Based Non-Dominated Optimization and 5D-Chaotic Map

Cited by 30 publications

References 36 publications

A Secure Multi-factor Authentication Protocol for Healthcare Services Using燙loud-based SDN

A Secure Multi-factor Authentication Protocol for Healthcare Services Using燙loud-based SDN

Robust and Secure Data Transmission Using Artificial Intelligence Techniques in Ad-Hoc Networks

Analysis of Vessel Segmentation Based on Various Enhancement Techniques for Improvement of Vessel Intensity Profile

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