… Our contributions In order to protect the integrity of training data in distributed machine learning
system, in this paper, we propose the distributed machine learning oriented data integrity …

… , cloud computing systems do experience service outages and performance slowdown. In
addition to these, large-scale cloud … • We compare results using multiple machine learning …

… This article investigates various machine learning techniques such as decision tree (DT),
naïve Bayes (NB), and support vector machine (SVM) and the deep learning model one-…

… cloud computing. One reason is that consumers and plenty of organization keep their information
on cloud … We can apply cryptographic algorithms in cloud servers to solve these threats. …

… Therefore, we proposed a classification based machine learning approach for detection
of DDoS attack in cloud computing. With the help of three classification machine learning …

… In this paper we have analyzed and proposed the machine learning algorithms for detecting
DDoS attack in cloud computing environment. This paper is using isolation forest anomaly …

… problems in Mobile Cloud Computing and Conventional Cloud Computing are similar to …
all applications and devices that conventional cloud computing handles, meaning that MEC has …

… Cloud Computing has changed how we operate daily and helped change how business …
Cloud computing is the foundation of our daily lives, providing different services through its …

… growth in the scale of Machine Learning and Data Mining (… of Cloud computing services
like Amazon EC2 provide the promise of on-demand access to affordable large-scale computing …

… machine learning algorithms as threat detection tools. They considered three requirements
in the model: a) type of algorithm for machine learning, b) data input, and c) cloud computing. …