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Gokul, S.
- A Procedural Framework to Design and Fabrication Controlled by Pneumatics
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Authors
Affiliations
1 Department of Mechanical Engineering, Velammal Institute of Technology, Chennai-601204, IN
1 Department of Mechanical Engineering, Velammal Institute of Technology, Chennai-601204, IN
Source
International Journal of Engineering Research, Vol 6, No 12 (2017), Pagination: 513-518Abstract
This project deals with design development and fabrication of “MULTI PURPOSE PNEUMATIC MACHINE”. This machine is designed for the purpose of multi-operation i.e. Grinding, punching, and cutting. This machine performs multipurpose operation at same time with required speed and this machine is automatic which is controlled or operated by pneumatic pressure. This model of multi-operational machine may be used in industry and domestic operation which can perform mechanical operation like grinding, punching, and cutting of a thin metallic as well as wooden model or body. A high pressure compressed air is forced on a fan and the fan is made to rotate. This rotation is transmitted to the machining head by a shaft and the required operation is carried out.Full Text
References
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- Analysis of Phishing Detection Using Logistic Regression and Random Forest
Abstract Views :224 |
PDF Views:0
Authors
S. Gokul
1,
P. K. Nizar Banu
1
Affiliations
1 Department of Computer Science, CHRIST (Deemed to be University), Bangalore, Karnataka, IN
1 Department of Computer Science, CHRIST (Deemed to be University), Bangalore, Karnataka, IN
Source
Journal of Applied Information Science, Vol 8, No 1&2 (2020), Pagination: 07-13Abstract
In the present era of technology, cybercriminals are getting smarter day by day. From the past few years, the cybercrimes have increased to an extent that most of the big companies are finding it difficult to prevent cybercrimes. One such cyber-attack is phishing where the victims are lured in entering their sensitive information like usernames, passwords, bank details, etc. It’s very easy for an attacker to get sensitive information through phishing. The attacker should know some information about the victim’s profile so that the victims can be easily tricked. A phished URL that the victims receive is very tough to differentiate as looks similar to the original URL. In this paper, we have made use of the information in the URL to determine if the URL is phished or not. So, it is not necessary for the user to enter the website and expose themselves to the malicious code. We have also discussed the metadata that is present in the URL. In this paper, we also make use of metadata to classify a URL. Random forest and logistic regression are the two algorithms used to classify the URL present in the dataset as phished or not phished. After using the classification algorithm on the given datasets, we found that the random forest algorithm has better accuracy in classifying if a URL is legit.Keywords
Classification, Cyber Attack, Logistic Regression, Phishing, Random Forest, URL Phishing.
References
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- http://dataaspirant.com/2017/05/22/random-forest-algorithm -machine-learing/