Keywords: Encryption; Big data; Cloud Computing; Data privacy; Anonymization;

Introduction:

In the last decade, due to the increase of using the internet and web-based applications, data security concerns turn out to be important than ever before. Big data gives many opportunities to advance science by improving health care promoting economic…

Keywords: Encryption; Big data; Cloud Computing; Data privacy; Anonymization;

Introduction:

In the last decade, due to the increase of using the internet and web-based applications, data security concerns turn out to be important than ever before. Big data gives many opportunities to advance science by improving health care promoting economic…

Keywords: Secure computing, Privacy, Trusted Execution, Intel SGX (Software Guard Extensions)

Introduction:

In the last few years, the usage of smart devices has been increased, these smart devices which are also known as the Internet of Things (IoT) give solutions and used for communication protocols towards a range of more…

Keywords: Cryptography; cryptanalysis; Cryptographic algorithms; encryption; Privacy-preserving; Security; Blowfish; Speed

Introduction:

Due to the increase of using the internet and web-based applications, data security concern turns out to be important than ever before. The collection of heterogeneous data is more convenient nowadays. Vulnerability raises major concerns in security-sensitive environments. Leakage…

Keywords: Advanced Encryption Standard (AES); cryptography; cryptanalysis; Cryptographic algorithms; encryption; Privacy-preserving; Security

Introduction:

In the last era when the internet is getting popular and users increased day by day. Security and privacy concerns are growing, because of the accessibility of big data; the collection of heterogeneous data is more convenient…

Index Terms: Machine Learning, Federated Learning, Inference Attacks, Backdoor

Big data gives many opportunities to advance science by improving health care promoting economic growth and reforming the education system. Recently, deep learning is extensively used at learning non-learning features from complex data and widely used in image recognition, feature extraction…

There are some machine learning algorithms such as Support vector machine, random forest, and naïve Bayes, etc. In the following article, we are going to discuss each learning algorithm and give a comparison by using f1 score or accuracy.

Support Vector Machine (SVM)

SVM is a classification technique and has…