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Every technology has some benefits and some limitations. Cloud computing has its own set of them. Cloud computing has various advantages i.e. reliability, cost effective, scalability, fault tolerance, backup. But there are also some security issues in cloud computing because data is stored on worldwide platform. Many attackers can use cloud services to create vulnerability in the cloud system. There are some forensics tools implemented to find information about these attacks in cloud environment. This complete process to find evidence in cloud environment is known as cloud forensics. This paper presents a study about cloud forensics methods, technology used, comparative study to provide awareness of tools, methods, challenges in cloud forensics. This information will help to find new techniques to improve forensics process in cloud forensics.

Singular Spectrum Analysis (SSA), a relatively new but effective approach in time series analysis, has been devised and widely used in various of practical problems in the recent years. It is regarded as PCA for time series how-ever has huge advantages over it. SSA will surely become a principal time series analysis method in the future. The aim of this paper is to aware scientific com-munities with the knowledge of various advances and extensions of SSA. This paper begins with brief history of SSA. The paper also discusses the Basic SSA algorithm and its stages. Here, in this paper, recent advances in the conceptual and algorithmic aspects of the SSA are studied upon and reviewed. These include the recent developments and extension of the Basic SSA. This paper also com-pares the Basic SSA with other classical methods, their similarities and differences from one and other.

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