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**Data analysis** is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today’s business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively.
Data cleansing or **data cleaning** is the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database and refers to identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting the dirty or coarse data. Data cleansing may be performed interactively with data wrangling tools, or as batch processing through scripting. After cleansing, a data set should be consistent with other similar data sets in the system.
Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. **Data mining** is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal to extract information (with intelligent methods) from a data set and transform the information into a comprehensible structure for further use.
How to address the growing security risk of IoT devices The current Internet of Things (IoT) space comes with numerous security vulnerabilities. These vulnerabilities include weak authentication (IoT devices are being used with default credentials), unencrypted messages sent between devices, SQL injections and lack of verification or encryption of software updates. This allows attackers to easily intercept data to collect PII (Personally Identifiable Information), steal user credentials at login, or inject malware into newly updated firmware.
## The Internet of Things (IoT) Cybersecurity and Privacy Risks The IoT ecosystem poses cybersecurity and privacy risks that extend beyond traditional data security. To address IoT-specific cybersecurity and privacy risks – including those posed by cyber, physical, and human elements. This article provides an overview of the IoT cybersecurity and privacy risks. How the introduction of IoT to networks and infrastructure has changed the cybersecurity and privacy risks organizations are facing, and how managing these cybersecurity and privacy risks has become increasingly difficult for IT security departments.
Public Web servers often support a range of technologies for identifying and authenticating users with differing privileges for accessing information. Some of these technologies are based on cryptographic functions that can provide an encrypted channel between a Web browser client and a Web server that supports encryption. Without user authentication, organizations will not be able to restrict access to specific information to authorized users. All information that resides on a public Web server will then be accessible by anyone with access to the server.
Securing the Web Server Operating System Protecting a Web server from compromise involves hardening the underlying Operating System (OS), the Web server application, and the network to prevent malicious entities from directly attacking the Web server. The first step in securing a Web server is hardening the underlying OS. All commonly available Web servers operate on a general-purpose OS. Many security issues can be avoided if the OSs underlying the Web servers are configured appropriately.
### Businesses Are Using Cloud Apps What are cloud apps? In general, cloud apps are the concept of remotely hosted software and services, provided by a supplier. These suppliers are called cloud providers. Typical cloud apps offered by cloud providers include email, calendar, documents, online storage, sales, customer service, and more. Some of today’s many cloud providers are well known names in industry and include companies such as Amazon, Google, 37signals, Intuit, Microsoft, and Box.
Intrusion Detection and Prevention System Principles Intrusion detection is the process of monitoring the events occurring in a computer system or network and analyzing them for signs of possible incidents, which are violations or imminent threats of violation of computer security policies, acceptable use policies, or standard security practices. Incidents have many causes, such as malware (e.g., worms, viruses), attackers gaining unauthorized access to systems from the Internet, and authorized users of systems who misuse their privileges or attempt to gain additional privileges for which they are not authorized.