International Journal of Advance Research in Engineering, Science & Technology

INTRUSION DETECTION SYSTEM FOR INTERNAL ATTACKS USING DATA MINING FORENSIC TECHNIQUES

Mrs. S R Muley — 2022-12-15

Intrusion attacks means someone from outside who is not part of the network and who is trying to trying to
access something into our network system by wrong intention. So detection of intrusion basically refers to an act of
finding network system for malicious or harmful activity. We can develop web based application which can find and
generate the notification if any harmful activity is indemnified. Here we are proposing a system with intention to identify
internal intrusion in system or network. We can use data mining forensic techniques to indentify internal intruders and
take immediate action accordingly.

A Review: Electrical Vehicles for Smarter Cities

Mrs. Vaijayti S Yeole — 2022-12-16

Electric vehicles (EVs) are a promising technology for achieving a higher-level goal in future, due to their
very low to zero-carbon emissions, low noise, and high efficiency. However, the large penetration of EVs is expected to
affect the existing power grids, due to high loads. Uncontrolled charging of plug-in electric vehicles represents a
challenging task for the energy system. Control charging of EVs—within the concept of smart city—can have a
powerful effect on the power grid load, voltage, frequency, and power losses. In this way, smart charging has been
planned, in order to avoid grid congestion and to integrate renewable energy. This chapter gives idea of transition to
a new age of mobility and the challenges of charging mechanisms within the concept of the smart city. This chapter
analysis the concept, framework, advantages, challenges, and boost strategies to vehicle-to-grid. Complete reviews of
different strategies, smart charging strategy and relative benefits are also given.

Covid Infection Detection by applying image processing on CT Images

Mrs. Sulakshana Nishikant Bhatlawande — 2022-12-16

Past few years, entire worlds are suffering from the most deadly disease called Covid-19. This disease has
become so viral that there were millions of death and still its going on increasing in India. Most of the people who get
impacted by the disease may face the issue like mild to moderate respiratory illness and recover without taking
special treatment. And people like senior citizens with medical issues like diabetes, chronic respiratory disease, etc
are more likely to develop serious illnesses. In most cases, it has been found that Covid-19 infection is been identify
through having a CT Scan of the lungs. In most cases, Covid-19 patients lose their life due to multi-organ failure. So
it's very necessary to identify Covid-19 impact at a very early stage where we can minimize the risk of death.
Hence he has developed a system that accepts the computed tomography (CT) Image of lungs as input. Performs
various segmentation. Our system analyzes the CT image of the lung and detects the infected part of the lung along
with the percentage of the affected part. The system identifies the Inflection severity and will help patients to take
essential measures. And our result is majorly accurate in terms of identifying Covi-19 infection.

Cloud Computing Analysis

Mrs. Vidya S. Godbole — 2022-12-17

Now a day’s Cloud computing is very important aspect. In today’s world, it has became a fact of life because
of cloud our daily life has became very easy. We are using cloud in areas where we need to sore large amount of data.
Or an example in business sector or for student. By taking help of cloud computing, life of people became easy because
we do not need to store or carry data individually on local devices.