Archive Browsing VOLUME 7 ISSUE 12 JULY 2019

Phishing URL Detection using Bayesian Optimized Random Forest Classifier
Abstract: Internet scams are numerous and varied. Anyone is likely to be the target of an attack while browsing the net. More and more crooks do not hesitate to use Social Engineering as a lever to acquire sensitive data unfairly by exploiting human flaws. Phishing is a Social Engineering technique used by these hackers. It is used to steal personal information in order to commit an identity theft without the knowledge of their victims. The persuasion power of these crooks is the keystone of a successful attack. This paper presents a model with the highest precision results which consists of Bayesian optimized support vector machine classifier. The performance of proposed framework is evaluated using accuracy, precision and sensitivity.

Authors: Vijaypal Singh Rana, Rahul Joshi

File Name: Vijay_71200-19-102.pdf
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Design and Analysis of Electronics Energy Meter’s Fraud Protection and Data Receive by Optical Port Communication
Abstract: An energy meter is a device that able to measure electric energy at any one time. The energy data is very important for the study about energy demand especially in residential sector. The meters that can be found in the market nowadays are expensive because they work on operation principle that requires the use of expensive hardware. A single-phase digital Electronics Energy Meter is based on microcontrollers; this digital energy meter does not have any rotating parts. The energy consumption is calculated using the output pulses of the energy meter chip and the internal counter of microcontroller. As soon as the supply is restored, energy meter restarts with the stored values. A single-phase energy meter prototype has been implemented to provide measurement up to 40A load current and 230V line to neutral voltage. Necessary program for microcontrollers is written in c-language. Hence, a digital meter that can measure electrical energy consumed by domestic appliances such as kettle, television, toaster, and others has been developed. This meter is robust, user friendly and informative enough for the purpose of simple data gathering.The accurate measurement of electricity supply and subsequent billing to residential properties has traditionally been achieved through electromechanical meters. Although, this solution has several disadvantages including long term accuracy, cost of calibration and limited communication. These issues can be overcome using digital power meters where it is possible to achieve long term accuracy by removing analog components which are prone to drift over temperature and time. The goal of this project is to design an electronic energy meter which calculates instantaneous power at all power factor and gives low frequency pulse output which is directly proportional to real power. This low frequency pulse output is further used by a microcontroller which calculates energy in terms of Kwh and Displays it on LCD. The function of microcontroller is not only limited to display of Energy but it also calculates maximum demand, detects different types of tamper such as magnetic tamper, neutral missing etc., it serves as an interface between RTC, EEPROM and the LCD display and also interacts with the outside world. The meter should have all the tamper and fraud protection features Current Reversal (CR), Earth Tamper (ET), Meter Cover (CO), Magnetic Tamper, Neutral Missing, Neutral disturbance. Data Receive by Optical port Communication.

Authors: Diwakar Singh, Ajay Saini

File Name: Diwakar_71200-19-101.pdf
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Design and Analysis of Electronics Energy Meter by Impedance Variation to Reduce the Power Consumption
Abstract: A single-phase digital energy meter is predicated on microcontrollers. This digital energy meter does not have any rotating components. The energy consumption is calculated to consume the output pulses of the energy meter chip and also the internal counter of a microcontroller. As presently because the provide is rebuilt, energy meter restarts with the hold on values. One section energy meter epitome has been enforced to supply measure up to 40A load current and 230V line to neutral voltage. Necessary program for microcontroller square measure written in c-language. Electrical energy meter may be a device that ready to live electrical energy at anybody time. The energy information is incredibly necessary for the study regarding energy demand, particularly in the residential sector. The meters that may be found within the market these days square measure dear as a result of they work on an operation principle that needs the employment of pricey hardware. Hence, a digital meter that may live power consumed by domestic appliances like kettle, television, toaster, et al. has been developed. This meter is powerful, user-friendly and informative enough for the aim of straightforward information gathering. The correct measure of electricity provide and sequent request to residential properties has historically been achieved through mechanical device meters. Though wide used this answer has many disadvantages as well as future accuracy, price of standardization and restricted communication. These problems will be overcome to consume digital power meters wherever it is potential to realize future accuracy by removing analog parts that square measure susceptible to drift over temperature and time. The goal of this project is to style Associate in electronic energy meter that calculates fast power in any respect power issue and provides low-frequency pulse output that is directly proportional to real power. This low-frequency pulse output is more employed by a microcontroller that calculates the energy in terms of Kwh and displays it on a digital display. The perform of the microcontroller is not solely restricted to show of Energy however it additionally calculates most demand, detects differing kinds of tamper like magnetic tamper, neutral missing, etc., it is RTC, EEPROM, LCD digital display alphanumeric and also interacts with the skin world.

Authors: Diwakar Singh, Ajay Saini

File Name: Diwakar_71100-19-102.pdf
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Banknote Authentication using Random Forest Classifier
Abstract: Financial institutions have adopted various automated banking systems using currency recognition as their main activity, which makes automated currency recognition of significant interest. It is difficult for humans to tell true and fake banknotes apart especially because they have a lot of similar features. Fake notes are created with precision, hence there is need for an efficient algorithm which accurately predicts whether a banknote is genuine or not. This paper proposes machine learning techniques to evaluate authentication of banknotes. A supervised classification algorithm, random forest classifier is used for differentiating genuine banknotes from fake ones. The performance of proposed research work is evaluated using certain evaluation parameters; accuracy, sensitivity and precision.

Authors: Rishabh Jaiswal, Suhani Jaiswal

File Name: Rishabh_71200-19-103.pdf
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