Ian  Robinson

Ian Robinson

1625038980

Top 10 Security Practices to Encrypt Your Data During Online Transaction

People have to follow a 360 degrees approach to ensure that a data breach doesn’t take place

The Internet has blurred the line between reality and imagination. More futuristic technologies are emerging in the modern era of artificial intelligence (AI). The advanced thought of buying products online through immediate payments methods is a reality now. However, online payments security is becoming a serious issue. Online purchase of goods, solutions and services has revolutionised eCommerce, opening countless opportunities to entrepreneurs worldwide. Unfortunately, keeping the passwords, financial and other personal information safe is increasingly becoming critical. Online frauds are on a historic rise lately. According to a shocking statistics from Juniper Research in 2016, up to 70% of all types of credit card frauds are mainly the card not present (CNP) transactions. The number of online transactions in 2020 is roughly double or even triple of that in 2016. In such a case, you must protect your data during all aspects of business operation including online transactions. In order to secure data, people have to follow a 360 degrees approach to ensure that a security breach doesn’t take place internally or externally. Analytics Insight has compiled top 10 practices that keep hackers away while doing online transactions.

#big data #cybersecurity #latest news #top 10 security practices to encrypt your data during online transaction #during online transactions #data during online transaction

What is GEEK

Buddha Community

Top 10 Security Practices to Encrypt Your Data During Online Transaction
Ian  Robinson

Ian Robinson

1625038980

Top 10 Security Practices to Encrypt Your Data During Online Transaction

People have to follow a 360 degrees approach to ensure that a data breach doesn’t take place

The Internet has blurred the line between reality and imagination. More futuristic technologies are emerging in the modern era of artificial intelligence (AI). The advanced thought of buying products online through immediate payments methods is a reality now. However, online payments security is becoming a serious issue. Online purchase of goods, solutions and services has revolutionised eCommerce, opening countless opportunities to entrepreneurs worldwide. Unfortunately, keeping the passwords, financial and other personal information safe is increasingly becoming critical. Online frauds are on a historic rise lately. According to a shocking statistics from Juniper Research in 2016, up to 70% of all types of credit card frauds are mainly the card not present (CNP) transactions. The number of online transactions in 2020 is roughly double or even triple of that in 2016. In such a case, you must protect your data during all aspects of business operation including online transactions. In order to secure data, people have to follow a 360 degrees approach to ensure that a security breach doesn’t take place internally or externally. Analytics Insight has compiled top 10 practices that keep hackers away while doing online transactions.

#big data #cybersecurity #latest news #top 10 security practices to encrypt your data during online transaction #during online transactions #data during online transaction

 iOS App Dev

iOS App Dev

1620466520

Your Data Architecture: Simple Best Practices for Your Data Strategy

If you accumulate data on which you base your decision-making as an organization, you should probably think about your data architecture and possible best practices.

If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture and consider possible best practices. Gaining a competitive edge, remaining customer-centric to the greatest extent possible, and streamlining processes to get on-the-button outcomes can all be traced back to an organization’s capacity to build a future-ready data architecture.

In what follows, we offer a short overview of the overarching capabilities of data architecture. These include user-centricity, elasticity, robustness, and the capacity to ensure the seamless flow of data at all times. Added to these are automation enablement, plus security and data governance considerations. These points from our checklist for what we perceive to be an anticipatory analytics ecosystem.

#big data #data science #big data analytics #data analysis #data architecture #data transformation #data platform #data strategy #cloud data platform #data acquisition

Ian  Robinson

Ian Robinson

1624399200

Top 10 Big Data Tools for Data Management and Analytics

Introduction to Big Data

What exactly is Big Data? Big Data is nothing but large and complex data sets, which can be both structured and unstructured. Its concept encompasses the infrastructures, technologies, and Big Data Tools created to manage this large amount of information.

To fulfill the need to achieve high-performance, Big Data Analytics tools play a vital role. Further, various Big Data tools and frameworks are responsible for retrieving meaningful information from a huge set of data.

List of Big Data Tools & Frameworks

The most important as well as popular Big Data Analytics Open Source Tools which are used in 2020 are as follows:

  1. Big Data Framework
  2. Data Storage Tools
  3. Data Visualization Tools
  4. Big Data Processing Tools
  5. Data Preprocessing Tools
  6. Data Wrangling Tools
  7. Big Data Testing Tools
  8. Data Governance Tools
  9. Security Management Tools
  10. Real-Time Data Streaming Tools

#big data engineering #top 10 big data tools for data management and analytics #big data tools for data management and analytics #tools for data management #analytics #top big data tools for data management and analytics

 iOS App Dev

iOS App Dev

1624185000

Top 10 Companies Hiring Data Engineering Professionals

Analytics Insight has listed top 10 companies hiring data engineering professionals with a decent salary

Over the past few years, the usage of data has exploded drastically. More people, organizations, businesses, etc. are availing data as part of their routine mechanism. Earlier, people focused more on useful insights and analysis, but now, they have come to the sense that managing data also needs equal importance. As a result, the role of data engineer has ballooned in the technology sector. Data engineering is the aspect of data science that focuses on practical applications of data collection and analysis. Data engineers are responsible for finding trends in datasets and developing algorithms to help make raw data more useful to the enterprise. The Dice 2020 Tech Job Report labeled data engineering as the fastest-growing job of 2019, with a 50% year-over-year growth in the number of openings. According to Dataquest, data engineers performs three main roles namely generalist (found in small teams or small companies), pipeline-centric (found in midsize companies) and database-centric (works in large organizations). Analytics Insight has figured top 10 companies hiring data engineering professionals with decent salary.

#big data #latest news #top 10 companies hiring data engineers #top 10 companies hiring data engineering professionals #data engineer jobs. #top companies hiring data engineering professionals

Wilford  Pagac

Wilford Pagac

1596796680

OWASP Top 10 API Security - DZone Security

I am sure that almost all of you would be aware about OWASP. But, just for the context let me just brief about the same.

OWASP is an international non-profit organization that is dedicated to web application security. It is a completely opensource and community driven effort to share articles, methodologies, documentation, tools, and technologies in the field of web application security.

When we talk about API, we are almost every time talking about REST and OWASP has a dedicated project to API security. As this series of articles are focused towards the API security, we shall not be going in details of web application security. You can use the provided links to find more about these. Let us spend some time on the background, before we dive deep in to API security project.

Background

OWASP’s most widely acknowledged project is OWASP top 10. This is the list of security risks compiled by the security experts from across the world. This report is continuously updated, outlining the concerns of web application security, and specially focuses on the Top 10 of the most critical risks. According to OWASP, this report is an “The OWASP Top 10 is a standard awareness document for developers and web application security. It represents a broad consensus about the most critical security risks to web applications.” They recommend that all companies incorporate the report into their processes in order to minimize and/or mitigate security risks. The latest version was published in 2017 and below is the list.

  1. Injection
  2. Broken Authentication
  3. Sensitive Data Exposure
  4. XML Eternal Entities (or XXE)
  5. Broken Access Control
  6. Security Misconfiguration
  7. Cross-Site Scripting (or XSS)
  8. Insecure Deserialization
  9. Using Components With known vulenerabilities
  10. Insufficient Logging And Monitoring

How API Security Is Different from Web Application Security

Although API’s have many similarities with web applications, but both are fundamentally different in nature.

In web applications, all the processing is done on the servers and the resulting web page is sent back to web-browser for rendering. Because of this nature, they have limited entry point and attack surface which are resulting web pages. This can easily be protected by putting up and web-application firewall (WAF) in front of the application server.WAF

In most of the modern application UI itself uses API’s to send and receive data from backend servers and provide the functionality of the application. It is the responsibility of the clients to do the rendering and convert the responses to a web page.

API GET and raw data

Also, with the rise of microservices architecture individual components become APIs, and it becomes a different world altogether, where UI clients could interact with hundreds of services via API calls. This significantly increases the attack surface. Now all those API’s become the entry point and attack surface.

These entry points can’t be guarded using the WAF solutions as they cannot differentiate between the legitimate and malicious API calls.

Why A Separate Project on API security?

Since its first release in 2003 OWASP top 10 projects has been the most useful resource in terms of web application security risks and to suggest the ways to mitigate these issues.

These days almost all the application development like banking, retail, transportation, smart devices, are done with the APIs.

APIs are critical to modern mobile and SaaS application. By nature, the API’s expose business logic and data, often these data are sensitive in nature, for example Personally Identifiable Information (PII). Because of this API’s are increasingly being targeted by attackers.

As API’s are changing how we design and develop our application, this is also changing the way we think about our security. A new approach in needed in terms of security risks. To cater to this need, OWASP decided to come up with another version of Top 10 dedicated to API security which is named “OWASP API Security Project”. The first report was released on 26 December 2019.

Below is the OWASP Top 10 API security risks and their brief description as provided by the official report.

API1:2019 Broken Object Level Authorization

APIs tend to expose endpoints that handle object identifiers, creating a wide attack surface Level Access Control issue. Object level authorization checks should be considered in every function that accesses a data source using an input from the user.

API2:2019 Broken User Authentication

Authentication mechanisms are often implemented incorrectly, allowing attackers to compromise authentication tokens or to exploit implementation flaws to assume other user’s identities temporarily or permanently. Compromising system’s ability to identify the client/user, compromises API security overall.

#security #api security #owasp top 10 #api penetration testing #api security risks #owasp top 10 web security risk