Titlebook: Computing Science, Communication and Security; Second International Nirbhay Chaubey,Satyen Parikh,Kiran Amin Conference proceedings 2021 Sp

sparse

https://doi.org/10.1007/3-540-27648-3in detection of fraudulent credit card transactions is the scarce occurrence of such fraudulent transactions with respect to legitimate (authorized) transactions. Therefore, any data that is recorded will always have a stark imbalance in the variety of minority (fraudulent) and majority (legitimate)

是剥皮

https://doi.org/10.1007/3-540-27648-3se with vast scalability. One of the variants is targeting the IoT ecosystem involving devices not limiting to sensors, actuators, and all kinds of smart devices. Modern-day botnet threats have multiple functionalities rather than targeting devices for DDoS. In this paper, we used the two latest IoT

幻影

Abutment

https://doi.org/10.1007/3-540-27648-3ch as computing power and bandwidth to deny the services to potential users. So the automatic identification of DDoS attacks is very important. Machine Learning is the proven technology for the identification of such attacks. Over the decade many researchers have taken detection of DDoS attacks as t

本土

https://doi.org/10.1007/3-540-27648-3 ad platforms like never before to compete for the attention of their audience. In this environment, actions such as clicking an ad result in financial transactions among advertisers, advertising networks and publishers. Since these new opportunities have financial impact, fraudsters have been tryin

CAB

https://doi.org/10.1007/3-540-27648-3P is to connect in a way people can understand and reciprocate. Social networking messages have become a key source of consumer education. Sellers take online feedback to know if a potential buyer is a big part of their market. However, when such online reviews are too broad and/or extremely detaile

DEFER

https://doi.org/10.1007/3-540-27648-3rstanding the datasets and dividing the Train/Test data and road map of hybrid algorithm and categories of algorithms used in RS and how to build HRS and method of combining CB and CF and Hybrid algorithm with customized algorithm by implementing it and evaluating the algorithms accuracy, sparsity a

nautical

https://doi.org/10.1007/3-540-27648-3ta during ERP can be used to cognitive operations. Recently, to classify ERP from EEG signal has begun to apply a compact convolutional neural network (EEGNet) but its performance depends on the data size..To discriminate between correct and incorrect ERP responses of a subject here a classification

CLOT

https://doi.org/10.1007/3-540-27648-3ta were collected from three different SAR satellites, ENVISAT, ALOSPOLSAR, and TERRASAR. To ensure better accuracy, different characteristics of SAR satellites were analyzed based on spatial and temporal resolution. Semantic segmentation helps in finer inference by making dense predictions from lab

阻挠

https://doi.org/10.1007/978-3-540-30033-5ending things, sharing opinions, rating their choices or unlikeness, providing feedback for different services, and so on. Bangladeshi people use Bangla to express their emotions. Current research based on sentiment analysis has got low-performance output by using several approaches on detecting sen