A novel network security algorithm based on improved support vector machine from smart city perspective

Zou, Xiang; Cao, Jinghua; Guo, Qizhong; Wen, Tao

doi:10.1016/j.compeleceng.2017.09.028

Cited by 19 publications

(5 citation statements)

References 23 publications

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“…A new amalgam technique for classification that is based on decision tree and SVM algorithms was structured by Xiang et al [23]. They used their model for assessing the execution of the projected technique by using the specific data set and furthermore used the crossover method for upgrading the identification exactness of intrusion detection and aversion attacks.…”

Section: Literature Surveymentioning

confidence: 99%

Intrusion detection using dynamic feature selection and fuzzy temporal decision tree classification for wireless sensor networks

et al. 2020

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Section: Literature Surveymentioning

confidence: 99%

Intrusion detection using dynamic feature selection and fuzzy temporal decision tree classification for wireless sensor networks

et al. 2020

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“…(2015) proposed a SVM-based proactive blackout predictive model in smart grid. Zou et al . (2018) developed an improved SVM to enhance the ID/intrusion prevention system for smart city security.…”

Section: Artificial Intelligence Powered Internet Of Thingsmentioning

confidence: 99%

Artificial Intelligence powered Internet of Things and smart public service

Kang

et al. 2019

LHT

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Purpose The Internet of Things (IoT) has attracted a lot of attention in both industrial and academic fields for recent years. Artificial intelligence (AI) has developed rapidly in recent years as well. AI naturally combines with the Internet of Things in various ways, enabling big data applications, machine learning algorithms, deep learning, knowledge discovery, neural networks and other technologies. The purpose of this paper is to provide state of the art in AI powered IoT and study smart public services in China. Design/methodology/approach This paper reviewed the articles published on AI powered IoT from 2009 to 2018. Case study as a research method has been chosen. Findings The AI powered IoT has been found in the areas of smart cities, healthcare, intelligent manufacturing and so on. First, this study summarizes recent research on AI powered IoT systematically; and second, this study identifies key research topics related to the field and real-world applications. Originality/value This research is of importance and significance to both industrial and academic fields researchers who need to understand the current and future development of intelligence in IoT. To the best of authors’ knowledge, this is the first study to review the literature on AI powered IoT from 2009 to 2018. This is also the first literature review on AI powered IoT with a case study of smart public service in China.

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“…Another cornerstone task related to the infrastructure network is the security in communications. For this problem, bio-inspired algorithms can also be very useful, as shown in [113]. In that paper, authors propose a semi-class intrusion detection method which combines multiple classifiers to arrange exceptions and typical exercises in a computer system.…”

Section: Bio-inspired Computation Applied To Big Data Networkmentioning

confidence: 99%

Bio-inspired computation for big data fusion, storage, processing, learning and visualization: state of the art and future directions

Torre-Bastida

Díaz-de-Arcaya

Osaba

et al. 2021

Neural Comput & Applic

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This overview gravitates on research achievements that have recently emerged from the confluence between Big Data technologies and bio-inspired computation. A manifold of reasons can be identified for the profitable synergy between these two paradigms, all rooted on the adaptability, intelligence and robustness that biologically inspired principles can provide to technologies aimed to manage, retrieve, fuse and process Big Data efficiently. We delve into this research field by first analyzing in depth the existing literature, with a focus on advances reported in the last few years. This prior literature analysis is complemented by an identification of the new trends and open challenges in Big Data that remain unsolved to date, and that can be effectively addressed by bio-inspired algorithms. As a second contribution, this work elaborates on how bio-inspired algorithms need to be adapted for their use in a Big Data context, in which data fusion becomes crucial as a previous step to allow processing and mining several and potentially heterogeneous data sources. This analysis allows exploring and comparing the scope and efficiency of existing approaches across different problems and domains, with the purpose of identifying new potential applications and research niches. Finally, this survey highlights open issues that remain unsolved to date in this research avenue, alongside a prescription of recommendations for future research.

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A novel network security algorithm based on improved support vector machine from smart city perspective

Cited by 19 publications

References 23 publications

Intrusion detection using dynamic feature selection and fuzzy temporal decision tree classification for wireless sensor networks

Intrusion detection using dynamic feature selection and fuzzy temporal decision tree classification for wireless sensor networks

Artificial Intelligence powered Internet of Things and smart public service

Bio-inspired computation for big data fusion, storage, processing, learning and visualization: state of the art and future directions

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