Algorithm for Grading a Computer Program using the Inverse Function
Abstract: Computer Programs are written to perform a particular task. We design various computer programs to simplify our job and make our work flawless.So we must have a way to evaluate the correctness of the program written by us. In this research we have evolved an algorithm to grade computer programs for the efficiency. This paper is about students who want to learn programming languages from basics or advanced and have to evaluate their programming skills for further development.

Authors: Harendra Kumar, Shivraj Sharma, Suneel Kumar

File Name: Harendra_50300-16-131.pdf
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A Novel Approach for Phishing URLs Detection using Nave Bayes, Neural Network and Random Forest Classifiers
Abstract: Seeking sensitive user data in the form of online banking user - id and passwords or credit card information, which may then be used by phishers for their own personal gain is the primary objective of the phishing e - mails. With the increase in the online trading activities, there has been a phenomenal increase in the phishing scams which have now started achieving monstrous proportions . This paper gives strategies for distinguishing phishing sites by d issecting different components of phishing URLs by Machine learning systems. It talks about the systems utilized for identification of phishing sites in view of lexical features, host properties and page significance properties. We consider different machi ne learning algorithms for assessment of the features to show signs of improvement comprehension of the structure of URLs that spread phishing. We use Nave Bayes, Neural Network and Random Forest Classifiers .

Authors: Gangeshwari Sharma, Abhishek Tiwari

File Name: Gangeshwari_50300-16-129.pdf
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Review on Global Planning of Fourth Generation (4G) Mobile Networks
Abstract: In the current environment where the information is the key to success context, no matter the field where one stands, the telecommunication networks are increasingly solicited. Enormous amounts of information circulating on the networks at every second. It is essential to ensure the availability of these networks to ensure the transmission of such data in all circumstances. This paper survey a global model including survivability for the planning of 4G (WiMAX) networks.

Authors: Surbhi Vyas, Pankaj Rathi

File Name: Surbhi_50300-16-132.pdf
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Spectrum Sensing Framework in Cognitive Radio using GA and Grey Wolf Optimization
Abstract: Spectrum sensing has been identified as a key enabling functionality to ensure that cognitive radios would not interfere with primary users, by reliably detecting primary user signals. The performance of spectrum detection is regularly traded off with multipath fading, shadowing and receiver uncertainty problems. To relieve the effect of these issues, spectrum sensing has been appeared to be a powerful technique to enhance the performance of detection by using spatial diversity. This paper proposes a comparative analysis of Singular Value based Detection (SVD) using Genetic Algorithm (GA) and Grey Wolf Optimization (GWO) for spectrum sensing.

Authors: Shruti Sharma, Rahul Gedam

File Name: Shruti_50400-16-121.pdf
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