Cloud computing is a rising technology that utilizes a combination of hardware and software to deliver services to the end users over the internet. As the internet is always prone to security threats, reliability and safety in cloud computing environment become a crucial concern. DDoS (Distributed Denial of Service) attack is the biggest threat to all the cloud computing users which is being used at present. The main motive behind the DDoS attack is to prevent the target users from utilizing the network resources efficiently. With the changes in the cloud computing environment, significant changes have been seen in techniques to prevent the DDoS attack. In this paper, we will focus on the cloud computing architecture and how DDoS attacks affect cloud computing environment. Along with this, different kind of DDoS attacks are explored, and various defense mechanism against these attacks are presented.
Freshness plays a vital role to measure the quality of fish by consumers. The quality of a fish may be affected by characteristic changes deeply which result in a progressive loss of food characteristic in terms of taste and a general concept of quality. The aim of this study is to classify fish freshness based on image processing by using clustering based methods and its features are extracted in the wavelet transformation domain using Haar filter. First and second level decomposition in the wavelet domain is performed and the coefficients obtained at each level have been used as input to fuzzy logic to achieve this objective. There are three types of fuzzy input methods that have been discussed which are Wavelet Mean values divided into 5 parts as per day, Median absolute deviation values are taken as the range of 3 and RGB Mean also has been taken as 3 ranges which are calculated separately. The experimental result indicates better performance based on fuzzy logic in terms of freshness percentage.