A tree classifier based network intrusion detection model for Internet of Medical Things

Gupta, Karan; Sharma, Deepak Kumar; Gupta, Koyel Datta; Kumar, Anil

doi:10.1016/j.compeleceng.2022.108158

Cited by 78 publications

(32 citation statements)

References 14 publications

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“…On the other hand, these publications do not provide a comparison of deep learning algorithms on the datasets. Our research is the first to investigate an in-depth examination of deep learning for IDS, including methodologies, datasets, and comparative analysis, according to our awareness [30], [31], [32], [33].…”

Section: Related Workmentioning

confidence: 99%

Detection of Real-Time Malicious Intrusions and Attacks in IoT Empowered Cybersecurity Infrastructures

et al. 2023

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Computer viruses, malicious, and other hostile attacks can affect a computer network. Intrusion detection is a key component of network security as an active defence technology. Traditional intrusion detection systems struggle with issues like poor accuracy, ineffective detection, a high percentage of false positives, and an inability to handle new types of intrusions. To address these issues, we propose a deep learning-based novel method to detect cybersecurity vulnerabilities and breaches in cyber-physical systems. The proposed framework contrasts the unsupervised and deep learning-based discriminative approaches. This paper presents a generative adversarial network to detect cyber threats in IoT-driven IICs networks. The results demonstrate a performance increase of approximately 95% to 97% in terms of accuracy, reliability, and efficiency in detecting all types of attacks with a dropout value of 0.2 and an epoch value of 25. The output of well-known state-of-the-art DL classifiers achieved the highest true rate (TNR) and highest detection rate (HDR) when detecting the following attacks: (BruteForceXXS, BruteForceWEB, DoS_Hulk_Attack, and DOS_LOIC_HTTP_Attack) on the NSL-KDD, KDDCup99, and UNSW-NB15 datasets. It also maintained the confidentiality and integrity of users' and systems' sensitive information during the training and testing phases.

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Section: Related Workmentioning

confidence: 99%

Detection of Real-Time Malicious Intrusions and Attacks in IoT Empowered Cybersecurity Infrastructures

et al. 2023

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“…The Market segment evaluation and selection (MSE / MSS) problem usually some possible alternatives include, some According to possible criteria should be evaluated hence, and many MSE/MSS issues Quantitative Decision Making (MCTM) can be complicated MCDM approaches to Transportation Location Selection Many areas like engineering and management Very useful tourism [29]. Configuration, section creation, section evaluation and selection and section strategy description.…”

Section: Market Segment Evaluationmentioning

confidence: 99%

A Review of Market Segment Evaluation Using DEMATEL Method

2022

tbab

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Market segmentation is demographic, psychographic, behavioral and geographic segmentation Division Size and Growth, Sect Structural attractiveness, and Company objectives and resources utilization. Market segment evaluation is The market will need the number of customers, their income and the type of product you offer. Market segmentation are estimation by looking at the number of people in the segment. Multi-objective optimization on the basis of ratio analysis (MOORA) method is applied to solve some of the Market segment evaluation problems. The performance of the reference point approach and full multiplicative MOORA method are also tested for the considered problems. It is observed that all these three methods are very simple to understand, easy to implement and provide almost exact rankings to the Market segment alternatives. Degree of concentration, Laws and government agency regulations, Types of competitor, Contribution margins, Complexity, Growth rate per year and Evaluation parameters in Segment factors, Competition, Technological factors, Socio-political factors, Financial and economic factors.

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“…Also, linking DEMATEL and different techniques hybrid models are big in various fields are used, as an example, in e-learning assessment, flight safety measurement and innovation policy for taiwan's sip mall portfolios. Wu and lee fuzzy logic and integrating DEMATEL proposed an effective method [12]. DEMATEL method creates a structural model for group knowledge gathering, sub-organizations causal relationship through causal diagram is proper.…”

Section: Decision Making Trial and Evaluation Laboratory (Dematel)mentioning

confidence: 99%

Evaluation of Techno-economic Using Decision Making Trial and Evaluation Laboratory (DEMATEL) Method

TP¹,

Pallavi

Ramachandran³

et al. 2022

rmc

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Techno economic means feasibility of project requirement and optimized technology means selection. Techno-economic means existing market and technology is an analysis of selection of technology in project design in demand capacity techno-economic max existing. Chamoli, uttarakhand, India electrical and cooking energy to meet the requirements, integrated renewable energy on the development of the system a techno-economic study has been carried out on paper. Locally available renewable energy resources and exploration capacity of area requirements an attempt has been made to assess. In this from analysis Decision making trial and evaluation laboratory (DEMATEL) complex system elements of the cause-and-effect chain a great one for identification considered proper. This is interdependence between factors assessing relationships and through visual structural modeling what matters deals with identifying. Alternative: air conditioner, color television, washing machine, water heater, electric cooker. Evaluation preference: air conditioner, color television, washing machine, water heater, electric cooker. The result it is seen that Air conditioner is got the first rank where as is the Water heater is having the lowest rank. As a result, the air conditioner gets the first rank, while the water heater gets the lowest rank.

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A tree classifier based network intrusion detection model for Internet of Medical Things

Cited by 78 publications

References 14 publications

Detection of Real-Time Malicious Intrusions and Attacks in IoT Empowered Cybersecurity Infrastructures

Detection of Real-Time Malicious Intrusions and Attacks in IoT Empowered Cybersecurity Infrastructures

A Review of Market Segment Evaluation Using DEMATEL Method

Evaluation of Techno-economic Using Decision Making Trial and Evaluation Laboratory (DEMATEL) Method

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