Survey of genetic algorithm effectiveness in intrusion detection

Gnanaprasanambikai, L.; Munusamy, Nagarajan

doi:10.1109/i2c2.2017.8321877

Cited by 4 publications

(2 citation statements)

References 5 publications

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“…Several propositioned AI algorithms, including DPM-MN, attempt to imitate biological solutions. A couple examples include genetic algorithms (Gnanaprasanambikai, et al, 2018) and neural networks. The new frontier for biological imitation is the brain/mind.…”

Section: List Of Figures Appendix A: Research Community Goalsmentioning

confidence: 99%

Imitating human responses via a Dual-Process Model

Grimm

Peterson

Miller

2023

Cognitive Systems Research

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Section: List Of Figures Appendix A: Research Community Goalsmentioning

confidence: 99%

Imitating human responses via a Dual-Process Model

Grimm

Peterson

Miller

2023

Cognitive Systems Research

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“…Wang et al [18] suggest PW Join, is a three-operation algorithm designed to add binary windows to activities that are value-driven and can be found in streaming data. In Daoud [19] authors suggest GrubJoin, a multi-purpose, adaptive window data stream connection to efficiently complete CPU load flaking associations.…”

Section: Related Workmentioning

confidence: 99%

Enhanced Method to Stream Real Time Data in IoT using Dynamic Voltage and Frequency Scaling with Memory

Hashim¹

2020

IJACSA

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DVFS (Dynamic Voltage and Frequency Scaling) is a popular CPU (Central Processing Unit) level voltage frequency scale technology based on the application precedence. To motivate recurrence / voltage scaling as a feasible tool for energy productivity, i) basic workloads should ensure that memory recurrence scaling has an impact with insignificant degradation and (ii) that there is an enormous open door for reduction of power in this work. Therefore, if memory recurrence is that, two limiting forces on energy efficiency impact all items in an anomalous state. The competence depends on both power and runtime, because energy is the result of time and energy. The reduction in control alone will increase skills. However, further discussions at lower control work focuses are conducted, expanding operating times and energy in this way. There is a bloating edge that decreases the recurrence / voltage of memory in this way. This shows further that the recurrence of staticallyscaling memory has little impact on many lower workloads because of recurrent effects only the idling of transmission interchange, part of the memory dormancy. This will be shown. Inspire in this paper, the scaling of memory recurrence will affect frame power (show a systemic model to simplify the scaling of voltage) and therefore electricity. It presents DVFS memory computing in real time. The DVFS technology is popular for measuring the frequency of voltage according to the CPU level applications. In this work, an enhanced DVFS with memory technique proposal is used to decrease energy use and improve performance at the memory level.

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A Novel Approach for Channel Allocation In OFDM Based Cognitive Radio Technology

Yilmazel

Inanc

2021

Wireless Pers Commun

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Survey of genetic algorithm effectiveness in intrusion detection

Cited by 4 publications

References 5 publications

Imitating human responses via a Dual-Process Model

Imitating human responses via a Dual-Process Model

Enhanced Method to Stream Real Time Data in IoT using Dynamic Voltage and Frequency Scaling with Memory

A Novel Approach for Channel Allocation In OFDM Based Cognitive Radio Technology

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