The Cloud Computing concept offers dynamically scalable resources provisioned as a service over the Internet.Economic benefits are the main driver for the Cloud, since it promises the reduction of capital expenditure and operational expenditure.In order for this to become reality, however, there are still some challenges to be solved. Amongst these are security and trust issues, since the user data has to be released to the Cloud and thus leaves the protection sphere of the data owner. Most of the discussions on these topics are mainly driven by arguments related to organisational means. This paper focuses on various security issues arising from the usage of Cloud services and especially by the rapid development of Cloud computing arena. It also discusses basic security model followed by various High Level Security threats in the industry.

Security Issues on Cloud Computing.

This paper presents a comprehensive study on the challenges and issues of security in cloud computing. We first look into the impacts of the distinctive characteristics of cloud computing, namely, multi-tenancy, elasticity and third party control, upon the security requirements. Then, we analyze the cloud security requirements in terms of the fundamental issues, i.e., confidentiality, integrity, availability, trust, and audit and compliance. Furthermore, we discuss the taxonomy for security issues in cloud computing. Finally, we summarize the security issues in cloud computing by a cloud security architecture.

Security issues in cloud computing

The Intelligent computing system, described to be a collection of the connected device working in mutual understanding to attain a particular purpose, is an incorporation of artificial intelligence and the computational intelligence, and are employed in variety of applications. The paper presents the survey on the data mining algorithms and the techniques that could be employed with the intelligent computing system, presenting a basic conception of the data mining along with the prominent algorithms of the data mining and the classification of its techniques, further the survey concludes with the challenges included in the overview of the survey done along with the future enhancement in the research that analyses the data mining techniques in the intelligent computing applications.

https://www.irojournals.com/tcsst/V1/I1/02.pdf

Survey of data mining algorithm’s for intelligent computing system

The cloud is next generation platform that provides dynamic resource pooling, virtualization and high resource availability It is one of today’s most enticing technology areas due to its advantages like cost efficiency and flexibility There are significant or persistent concerns about the cloud computing those are impeding momentum and will compromise the vision of cloud computing as a new information technology procurement model A general understanding of cloud computing refers to the concept of grid computing, utility computing, software as a service, storage in cloud and virtualization It enables the virtual organization to share geographically distributed resources as they pursue common goals, assuming the absence of central location, omniscience and an existing trust relationship This paper is a survey more specific to the different security issues that has emanated due to the nature of the service delivery models of a cloud computing system

Cloud Computing is a distributed and centralized network of inter connected and inter related systems with one or more IT resources provisioned based on pay-on-demand usage. Even though Cloud consumers or users are more flexible with cloud resources, there exist various issues which bring down the usage of cloud resources. Security issue is the major one among them. Data Security and Privacy, Identity and Access Management, Disaster Recovery/Business Continuity Planning etc., are some of the crisis related to data stored on the cloud. Since the cloud users are more concerned with their data, its security is a major issue which has to be dealt seriously. Securing the users' data can be achieved by the conventional method of Cryptography. Encryption is done by using any one of the popular symmetric or asymmetric key algorithms such as AES, DES, RSA, Blowfish and Triple DES etc., RSA algorithm which is a asymmetric key algorithm using two different keys for encryption and decryption processes. The Key size can be varied to make the encryption process strong. Hence it is difficult for the attackers to intrude dthe data. Increasing key size correspondingly increases the time taken for encryption and decryption process. The proposed algorithm reduces the time of encryption and decryption processes by dividing the file into blocks and enhances the strength of the algorithm by increasing the key size. This strength paves the way to store data in cloud by the users without any inconvenience.

Enhanced RSA Algorithm with Varying Key Sizes for Data Security in Cloud

The security of cloud computing has always been an important aspect of quality of service from cloud service providers. However, cloud computing poses many new security challenges which have not been well investigated. This paper focusing on issues relating to the cloud data storage methods and security in virtual environment. We propose a method for providing data storage and security in cloud using public key cryptosystem RSA. Further, describes the security services includes key generation, encryption and decryption in virtual environment.

Data security in cloud using RSA

Cloud computing is one of today's most exciting technologies due to its ability to reduce costs associated with computing while increasing flexibility and scalability for computer processes. Security is a foremost important issue for data in cloud. To look after the data from cloud data storage we store the encrypted data in cloud environment. For encrypting the data we use different types of encryption methods like RSA, SHA1, and MD5. Further we also measure the performance of the different encrypted techniques based on the Key size of each encrypted technique to upload data in to the cloud by providing the best way security to data.

Performance evaluation of encryption techniques and uploading of encrypted data in cloud

One of the most frequent chronic diseases is diabetes, which can afflict anyone, regardless of age. When the glucose or sugar level is too high, several diseases attack. Diabetes causes a wide range of issues, adding to a high percentage of diabetic patient re-admission. The purpose of this study is to diagnose diabetes using machine learning techniques. Disease prediction decision-making relies heavily on learning-based models. Learning-based models play an essential role in disease prediction decision-making. Decision Tree, Logistic regression, K-Nearest Neighbors (KNN), Support Vector Machine (SVM), and Random Forest are the models that were evaluated and compared to each other.

DPMLT: Diabetes Prediction Using Machine Learning Techniques

Face recognition software is a piece of computer hardware that employs several algorithms to recognize faces in digital photos, identify people, and then confirm the authenticity of the acquired images by comparing them to facial images that have already been saved in a database. The field of computer vision includes the essential problem of facial recognition, which has been extensively researched by several researchers. This topic is crucial, particularly for specific applications like surveillance technology. This survey article’s main objective is to compare the various facial recognition algorithms.

Comparison of Various Face Recognition Algorithms in ML/DS

Cloud computing is one of today's most exciting technologies due to its ability to reduce costs associated with computing while increasing flexibility and scalability for computer processes. Cloud computing can be defined as management and provision of different resources, such as, software, applications and information as services over the cloud (internet) on demand. Cloud computing provides people a way to share large mount of distributed resources belonging to different organizations. The security of cloud computing has always been an important aspect of quality of service from cloud service providers. Cloud computing poses many new security challenges which have not been well investigated. This paper focusing on issues relating to the cloud data storage methods and security in virtual environment. SSL or Secure Sockets Layer with the use of SSL encryption, data can securely move between servers or between servers and browsers. This prevents unauthorized interceptors from reading that data.

Pachipala Yellamma

Papers

Data security in cloud using RSA

Performance evaluation of encryption techniques and uploading of encrypted data in cloud

DPMLT: Diabetes Prediction Using Machine Learning Techniques

Comparison of Various Face Recognition Algorithms in ML/DS

Data Security In Cloud Computing Environment Using SSL Protocol Authors