Public-Key Authenticated Encryption With Keyword Search Supporting Constant Trapdoor Generation and Fast Search

Li, Hongbo; Huang, Qiong; Huang, Jianye; Susilo, Willy

doi:10.1109/tifs.2022.3224308

Cited by 50 publications

(9 citation statements)

References 37 publications

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“…The algorithm's reliance on pheromone information may lead to suboptimal solutions, particularly in dynamic healthcare environments where rapid changes occur 109 . Scalability poses a challenge, as ACO may struggle when handling large‐scale healthcare datasets, limiting its applicability to the extensive and intricate data generated by IoT devices 113 . Additionally, the inherently iterative nature of ACO may result in prolonged processing times, impacting its real‐time suitability for healthcare scenarios requiring swift decision‐making.…”

Section: Results and Comparisonmentioning

confidence: 99%

“…109 Scalability poses a challenge, as ACO may struggle when handling large-scale healthcare datasets, limiting its applicability to the extensive and intricate data generated by IoT devices. 113 Additionally, the inherently iterative nature of ACO may result in prolonged processing times, impacting its real-time suitability for healthcare scenarios requiring swift decision-making. Balancing these challenges is essential to harness the benefits of ACO effectively while addressing its limitations in optimizing IoT-based healthcare services.…”

Section: Aco Analysismentioning

confidence: 99%

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The applications of nature‐inspired algorithms in Internet of Things‐based healthcare service: A systematic literature review

Amiri,

Heidari,

Zavvar

et al. 2024

Trans Emerging Tel Tech

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Nature‐inspired algorithms revolve around the intersection of nature‐inspired algorithms and the IoT within the healthcare domain. This domain addresses the emerging trends and potential synergies between nature‐inspired computational approaches and IoT technologies for advancing healthcare services. Our research aims to fill gaps in addressing algorithmic integration challenges, real‐world implementation issues, and the efficacy of nature‐inspired algorithms in IoT‐based healthcare. We provide insights into the practical aspects and limitations of such applications through a systematic literature review. Specifically, we address the need for a comprehensive understanding of the applications of nature‐inspired algorithms in IoT‐based healthcare, identifying gaps such as the lack of standardized evaluation metrics and studies on integration challenges and security considerations. By bridging these gaps, our paper offers insights and directions for future research in this domain, exploring the diverse landscape of nature‐inspired algorithms in healthcare. Our chosen methodology is a Systematic Literature Review (SLR) to investigate related papers rigorously. Categorizing these algorithms into groups such as genetic algorithms, particle swarm optimization, cuckoo algorithms, ant colony optimization, other approaches, and hybrid methods, we employ meticulous classification based on critical criteria. MATLAB emerges as the predominant programming language, constituting 37.9% of cases, showcasing a prevalent choice among researchers. Our evaluation emphasizes adaptability as the paramount parameter, accounting for 18.4% of considerations. By shedding light on attributes, limitations, and potential directions for future research and development, this review aims to contribute to a comprehensive understanding of nature‐inspired algorithms in the dynamic landscape of IoT‐based healthcare services.

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Section: Results and Comparisonmentioning

confidence: 99%

Section: Aco Analysismentioning

confidence: 99%

The applications of nature‐inspired algorithms in Internet of Things‐based healthcare service: A systematic literature review

Amiri,

Heidari,

Zavvar

et al. 2024

Trans Emerging Tel Tech

View full text Add to dashboard Cite

show abstract

“…IoT-based solutions for medical applications are being developed by an increasing number of academics and companies to fully leverage the possibilities of IoT in healthcare systems. This investigation aims to provide a bibliometric analysis of facilitating technologies and smart healthcare in IoT, as well as a summary of the development of state-of-the-art studies in IoT in smart healthcare systems [ 26 , 27 ]. Bibliometrics is a quantitative analysis of publications that aims to ascertain a certain type of phenomenon.…”

Section: Introductionmentioning

confidence: 99%

The applications of internet of things in smart healthcare sectors: a bibliometric and deep study

Ziwei,

Dongni,

Man

et al. 2024

Heliyon

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“…Physical isolation of private channels helps prevent signal eavesdropping, but public channels require alternative precautions [1]. Recently devised techniques can help provide the security of information transmission through public channels [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Cluster shift keying: covert transmission of information via cluster synchronization in chaotic networks

Sarı,

Günel

2024

Phys. Scr.

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A network of chaotic systems can be designed in such a way that the cluster patterns formed by synchronous nodes can be controlled through the coupling parameters. We present a novel approach to exploit such a network for covert communication purposes, where controlled clusters encode the symbols spatio-temporally. The cluster synchronization network is divided into two subnetworks as transmitter and receiver. First, we specifically design the network whose controlled parameters reside in the transmitter. Second, we ensure that the nodes of the links connecting the transmitter and receiver are not in the same clusters for all the control parameters. The former condition ensures that the control parameters changed at the transmitter change the whole clustering scheme. The second condition enforces the transmitted signals are always continuous and chaotic. Hence, the transmitted signals are not modulated by the information directly, but distributed over the links connecting the subnetworks. The information cannot be deciphered by eavesdropping on the channel links without knowing the network topology. The performance has been assessed by extensive simulations of bit error rates under noisy channel conditions.

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Public-Key Authenticated Encryption With Keyword Search Supporting Constant Trapdoor Generation and Fast Search

Cited by 50 publications

References 37 publications

The applications of nature‐inspired algorithms in Internet of Things‐based healthcare service: A systematic literature review

The applications of nature‐inspired algorithms in Internet of Things‐based healthcare service: A systematic literature review

The applications of internet of things in smart healthcare sectors: a bibliometric and deep study

Cluster shift keying: covert transmission of information via cluster synchronization in chaotic networks

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