A Coronavirus Herd Immunity Optimizer For Intrusion Detection System

Mahboob, Amir Soltany; Shahhoseini, Hadi Shahriar; Moghaddam, Mohammad Reza; Yousefi, Shima

doi:10.1109/icee52715.2021.9544165

Cited by 6 publications

(1 citation statement)

References 29 publications

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“…For instance, no public representative was a member of the NCC, and the capacity of civil society was not meaningfully utilized to reach people for training and preparation. Moreover, disappointingly, the NCC believed that herd immunity would protect most exposed to the virus (23,24).…”

Section: The Whole-of-government Approach In Actionmentioning

confidence: 99%

The Whole-of-Government, Whole-of-Society Approach in Tackling COVID-19 Pandemic in Iran: Evidence for Policymakers

Haghighat,

Takian,

Raoofi

et al. 2023

Health Scope

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: Some countries have adopted the whole-of-government (WoG), whole-of-society (WoS) approach to face the recent global crisis caused by the COVID-19 pandemic. By applying the WoG approach, sectors beyond health have to work across boundaries to achieve an integrated government response to particular issues, such as global health emergencies. Furthermore, the WoS approach puts communities at the center of response, which is vital for effectively dealing with crises. The COVID-19 pandemic coincided with the toughest unilateral political and economic sanctions in Iran. Implementing preventive and restrictive strategies could be elusive without a tailored WoG-WoS approach. The National COVID-19 Committee (NCC) was established to foster necessary multi-sectoral collaboration to deal with the pandemic in Iran. Nonetheless, Iran faced seven waves of the COVID-19 pandemic so far, each one more devastating than the previous wave. As the NCC did not meaningfully engage with the representatives of civil society, it can be claimed that social participation in health promotion was sufficient in Iran. Applying WoG-WoS approaches could have facilitated better performance in dealing with the COVID-19 crisis; countries with better records in dealing with the recent pandemic have benefited from social mobilization and meaningful engagement with all sectors, including both state and non-state actors. We advocate the adoption of tailored initiatives to nurture such an approach in dealing with potential future crises in Iran and abroad.

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Section: The Whole-of-government Approach In Actionmentioning

confidence: 99%

The Whole-of-Government, Whole-of-Society Approach in Tackling COVID-19 Pandemic in Iran: Evidence for Policymakers

Haghighat,

Takian,

Raoofi

et al. 2023

Health Scope

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Human-Inspired Optimization Algorithms: Theoretical Foundations, Algorithms, Open-Research Issues and Application for Multi-Level Thresholding

Rai

Das

Ray

et al. 2022

Arch Computat Methods Eng

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Humans take immense pride in their ability to be unpredictably intelligent and despite huge advances in science over the past century; our understanding about human brain is still far from complete. In general, human being acquire the high echelon of intelligence with the ability to understand, reason, recognize, learn, innovate, retain information, make decision, communicate and further solve problem. Thereby, integrating the intelligence of human to develop the optimization technique using the human problem-solving ability would definitely take the scenario to next level thus promising an affluent solution to the real world optimization issues. However, human behavior and evolution empowers human to progress or acclimatize with their environments at rates that exceed that of other nature based evolution namely swarm, bio-inspired, plant-based or physics-chemistry based thus commencing yet additional detachment of Nature-Inspired Optimization Algorithm (NIOA) i.e. Human-Inspired Optimization Algorithms ( HIOAs ). Announcing new meta-heuristic optimization algorithms are at all times a welcome step in the research field provided it intends to address problems effectively and quickly. The family of HIOA is expanding rapidly making it difficult for the researcher to select the appropriate HIOA; moreover, in order to map the problems alongside HIOA, it requires proper understanding of the theoretical fundamental, major rules governing HIOAs as well as common structure of HIOAs. Common challenges and open research issues are yet another important concern in HIOA that needs to be addressed carefully. With this in mind, our work distinguishes HIOAs on the basis of a range of criteria and discusses the building blocks of various algorithms to achieve aforementioned objectives. Further, this paper intends to deliver an acquainted survey and analysis associated with modern compartment of NIOA engineered upon the perception of human behavior and intelligence i.e. Human-Inspired Optimization Algorithms ( HIOAs ) stressing on its theoretical foundations, applications, open research issues and their implications on color satellite image segmentation to further develop Multi-Level Thresholding (MLT) models utilizing Tsallis and t-entropy as objective functions to judge their efficacy.

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Hybrid DNN-BiLSTM-aided intrusion detection and trust-clustering and routing-based intrusion prevention system in VANET

Sontakke

Chopade

2023

Journal of Control and Decision

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A Coronavirus Herd Immunity Optimizer For Intrusion Detection System

Cited by 6 publications

References 29 publications

The Whole-of-Government, Whole-of-Society Approach in Tackling COVID-19 Pandemic in Iran: Evidence for Policymakers

The Whole-of-Government, Whole-of-Society Approach in Tackling COVID-19 Pandemic in Iran: Evidence for Policymakers

Human-Inspired Optimization Algorithms: Theoretical Foundations, Algorithms, Open-Research Issues and Application for Multi-Level Thresholding

Hybrid DNN-BiLSTM-aided intrusion detection and trust-clustering and routing-based intrusion prevention system in VANET

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