Print ISSN: 2204-1990

Online ISSN: 1323-6903

Keywords : Principal Component Analysis


Intrusion Detection System through ID3-PCA-BP

L K Suresh Kumar

Journal of Contemporary Issues in Business and Government, 2021, Volume 27, Issue 6, Pages 1802-1821
DOI: 10.47750/cibg.2021.27.06.141

Currently, problems such as a slow processing speed, a low detection rate, a high false-positive rate, and a big feature dimension are all part of intrusion detection. To handle these issues, Iterative Dichotomiser 3 (ID3), Principal Component Analysis (PCA), and Back Propagation (BP) algorithms are available. Through a lower false-positive rate, and a higher detection rate, the research-based intrusion detection model ID3-PCA-BP increases the processing speed of intrusion detection systems. To decrease the overall data volume and accelerate processing, ID3 is used to initially differentiate the data. Differentiate ID3s and keep the temporary training sample set for intrusion data in order to retrain and optimize the ID3 and BP, treat the ID3 judges as standard data, and delete the added intermediate data. Then, we should reduce the dimension of the data using PCA and then introduce the data to BP for secondary discrimination. However, the ID3 algorithm operates a shallow structure in order to prevent an extreme quantity of intermediate numbers from being analyzed as intrusion data. As a result, further BP processing cannot effectively raise the accuracy. BP accelerates data processing by employing the ReLU activation function from the simplified neural network calculation approach and the faster convergence ADAM optimization algorithm.

Assessing the choice of supplementary accommodation for the new normal urban areas in West Bengal, India

DR.DEBASISH BATABYAL; MR.PRATIM CHATTERJEE; DR.ABHIJIT PANDIT; SHATRAJIT GOSWAMI; DHARMENDER KUMAR

Journal of Contemporary Issues in Business and Government, 2021, Volume 27, Issue 2, Pages 1413-1420
DOI: 10.47750/cibg.2021.27.02.153

Objectives: To measure the factors responsible for or contributing to the choice of accommodation in urban areas during and immediately after COVID 19 pandemic, with an increasing importance of location and its shifting perception for confidence building and future marketing.
Method: Principal Component Analysis and Chi-Square tests are found useful for analyzing the primary data collected from the urban areas in West Bengal
Results: COVID 19 risk perception and resultant behavior could not supersede purchasing power in the study area while location is playing a critical role. This study also projected a sustainability-safety-sustainability diaspora exhibiting future trends for supplementary accommodation sector with new-normal sustainability orientation in the area.
Practical Implications: COVID 19 measures with more investments does not enhance confidence among urban dwellers in the study area, rather price and location play critical role with new COVID 19 orientation for supplementary accommodations.
Social Implications: Risk perception, safety measures and actual availing of accommodation services are experiencing a wide gap as never before owing to this COVID 19 outbreak. This study focuses on this area with a future scope for supplementary accommodation.
Value: This study redirects the future marketing, financial and entrepreneurial policy issues for supplementary accommodation sectors