We know that almost every longstanding software platform tool, operating system or application goes through a series of logical incremental progressions and evolutiona.
One of the business strategies for selling computer resources with services and technology for better use of computing infrastructures is Cloud computing (CC). Nowadays, every IT company prefers cloud computing because it provides consumers with flexible, pay-per-use services. Due to its open and distributed structure, which is susceptible to attackers, thereby, privacy and security is a key obstacle to its sustainability. The most prevalent approach for detecting assaults on the cloud is known to be Intrusion Detection System (IDS). This article aims to propose a novel intrusion pattern detection system (IPDS) in cloud computing that includes three stages: (1) pre-processing, (2) feature extraction, and (3) classification. At first, pre-processing is performed on the input data via Z-score normalization and then feature extraction is performed along with statistical and higher-order statistical features. Subsequently, the extracted features are given to the classification phases that
Oil Profit: Mastering the Art of Financial Backtesting Oil Profit, the marriage of quantum computing and artificial intelligence, has the potential to revolutionize various industries, including finance. One particular area where it shows great promise is in financial backtesting. In this article, we will explore the concept of Oil Profit and its implications for financial…