Investigation of Phishing Attacks and Means to Utilize Anti Phishing Techniques

Advancement of technology have both positive and negative impacts. Some of the negative impacts are cyber crimes. Cyber crimes have become more dangerous. Phishing is one of the cyber crime which results in exploitation of data. There are many phishing attacks which are identified every day. There are different techniques in phishing attacks. We have to reduce those attacks by employing suitable anti-phishing techniques. Some of the anti-phishing techniques and algorithms are discussed in this paper. History of phishing and the lifecycle are also discussed in this paper. People should be aware of all such phishing and the anti-phishing techniques. They have to be careful while checking their mails and should not click on any links or downloadable malware files

An Emerging Role of Chatbot in Businesses as a Novel Interactive Tool

Chatbot enables the business people to reach their target customers using popular messenger apps like Facebook, Whatsapp etc. Chatbots are not handled by humans directly. Nowadays, Chatbots are becoming very popular especially in business sector by reducing the human efforts and automated customer service. It is a software which interacts with user using natural language processing, Machine Language and Artificial Intelligence. They allow users to simply ask questions which would simulate interaction with the humans. The popular and well known chatbots are Alex and Siri. This paper focus on review of chatbot, history of chatbot and its implementation along with applications

Comparative Study of Popular Data Mining Algorithms

Data Science is an appealing field , in the present world due to advancement of science as there is huge assortment of data which exist in numerous forms . Such data must be handled with care and store safely so that it can be retrieved as per needs. Some of the popular or commonly used algorithms are Apriori algorithm, K Means Clustering, Support Vector machines(SVM) and Association Rule Mining algorithms. This paper focus on the above mentioned algorithms and a comparison is made in terms of Technique, Time Utilization Software taking real time data examples

Medication Reminders through Alarms using Fingerprint Sensors and IFTTT Application

In today’s world most of the people are suffering from some or the other illness. Everyone is so busy with their lives that they forget taking medicines on time. They had to take the respective medicine time to time but ends up not taking it properly on time which may lead to dementia, means forgetting things of their daily routine (short time memory loss). Most importantly old people who cannot remember to take medicines leads to high illness which is not advisable, sometimes even the caretaker couldn’t remember to make the patient to take medicines. So, the suggested model for this issue is a medication box that would insist the patient or caretaker around to take the medicines without failure. It is an alarm based device that helps in reminding patients about their medication. The uses of Internet of Things (IoT) applications make diagnosis easier and convenient for the patients. This device helps in maintaining one-time medication to the patients, and helps increasing the life expectancy

Content Based Image Retrieval Based on Shape, Color and Structure of the Image

In the recent era, as technology is growing rapidly the usage of social media is also increasing as a result large databases are required for storing the images. With the advancements in the technology, the storage of these images in computers has become possible. But retrieving the images is becoming a big task. We need to store them in a sequential manner and retrieve them when required. This paper details retrieval of images by considering the features related to content like shape, color, texture is called CBIR (content based image retrieval). As it is very difficult to extract the pictures in such huge data bases so we chose this technique which aim at high efficiency

Ransomware- Its Prevention and Exclusion using Assorted Tools

Ransomware is similar to cyclone that creates data instability. The securely holded user data will be abducted. This has emerged as a malware through which user data is locked or encrypted till the ransom is paid. It is one of the fast evolving malware. Gaining income is the main motive of this ransomware. This paper focuses on various preventive measures to counter malice and can aid in eradicating ransomware. The paper also emphasize on various techniques and tools that can stamp out ransomware

Artificial Neural Networks for Soil Quality and Crop Yield Prediction using Machine Learning

Agriculture is the main stream on which farmers depend. Many surveys have proved that suicide rate of farmers is proliferate over years. The main reasons for the increase in suicide rate are weather conditions, debts, lack of details about the soil. In some remote areas farmers lack information about soil quality, soil nutrients, soil composition and may choose wrong crop to sow which results in less yield. So as to overcome the issues faced by farmers we are trying to implement a model using Artificial Neural Networks (ANN) which predicts the soil quality taking input as several important parameters related to soil. This paper mainly focuses on predicting the crop yield using the ANN which is completely a software solution and also recommends suitable fertilizers to gain high yield of crops

Crop leaf disease detection and classification using machine learning and deep learning algorithms by visual symptoms: a review

A Quick and precise crop leaf disease detection is important to increasing agricultural yield in a sustainable manner. We present a comprehensive overview of recent research in the field of crop leaf disease prediction using image processing (IP), machine learning (ML) and deep learning (DL) techniques in this paper. Using these techniques, crop leaf disease prediction made it possible to get notable accuracies. This article presents a survey of research papers that presented the various methodologies, analyzes them in terms of the dataset, number of images, number of classes, algorithms used, convolutional neural networks (CNN) models employed, and overall performance achieved. Then, suggestions are prepared on the most appropriate algorithms to deploy in standard, mobile/embedded systems, Drones, Robots and unmanned aerial vehicles (UAV). We discussed the performance measures used and listed some of the limitations and future works that requires to be focus on, to extend real time automated crop leaf disease detection system

Light Fedility (Li-Fi) - An Emerging Era of Wireless Data Communication and its Applications

These days, internet has turned out to be major demand that people are in seek of Wi-Fi hotspots (internet providers). Li-Fi offers transmission of information through visible by transferring information via an LED light bulb that diverges in concentration quicker than individual eye can go after. The term Li-Fi states to VLC(visible light communication) technology that utilizes as standard to carry speedy interaction in a way comparable to Wi-Fi. Li-Fi supplies superior efficiency, security, bandwidth and availability than Wi-Fi. This paper offer a brief summary on Li-Fi technology, its applications, potential and advantages

Integrating Smart Objects into a Integrated Internet of Things Architecture for Smart Cities

Increasing population in urban centers day by day demands for more services and infrastructure in order to meet all the needs of residents and visitors of the city. Due to the increased developments in advanced metering and digital technologies smart cities have been equipped with different electronic devices on the basis of Internet of Things (IOT), The utilization of all the technologies to achieve this objective presents an opportunity for the development of smart cities. This paper focus specifically to an urban IOT system and also to provide a comprehensive review on the concepts of smart cities, technologies of IOT and its applications