Connect with us

Security

Watermarking Digital Content OR Digital watermarking

A Watermarking Digital Content is a kind of marker secretly embedded in a noise-tolerant signal like as audio, video or image data. Digital watermarking is the demonstration of hiding a message related to a digital signal.

mm

Published

on

Watermarking Digital Content

Watermarking Digital Content

In spite of the need to secure content, some authors and publishers continue to be hesitant in safeguarding their content from piracy. This is because they are wary that protective measures may infringe on their readers’ reading space or cause an unpleasant reading experience.

In failing to invest in Digital Rights Management (DRM), the risk of e-book piracy can be colossal. Based on a recent study held in the UK, more than 75% of popular textbooks have been pirated and are available online as free downloads. Hence, it is imperative for authors and publishers across the world to protect their intellectual property and prevent loss of sales. A critical way of securing content is through digital watermarking.

Often seen in images, watermarks appear in the form of a semi-transparent sheathing of the creator’s brand or name. However, in digital media content, a different kind of watermark is used. Digital watermarking is a process of embedding information into multimedia content to validate the authenticity of the content or to acknowledge the identity of the creator of the digital content.

Watermarking Digital Content

When used in publishing, the buyer’s personal information is also included as an overlay in the e-book. These watermarks could also include the author or publisher’s data. The main function of digital watermarking is to identify the maker of the digital content. By enabling the tracking of an e-book or digital media content, watermarks ensure complete copyright protection of the material.

Digital watermarks can be either visible or invisible depending on the choice of the owner of the digital content. Often comprised as logos and text, visible watermarks can be clearly seen, while invisible watermarks cannot be distinguished as they are embedded into the code of the digital media.

Digital watermarks may not be able to prevent unauthorized reproduction, but they are instrumental in discouraging e-book piracy, as the owner’s information that is embedded in the content accompanies the e-book. Digital watermarking technology allows the owner of the digital media to help identify unauthorized usage of the material, thus helping to crack the nexus of piracy. Digital watermarking is useful in tracing individuals who are illegally redistributing licensed material.

Some publishers employ a unique code for every copy of an e-book that can help in tracking the product without exposing the buyers’ information.

According to the Digital Watermarking Alliance, consumers are given the freedom to make use of copyrighted data within the legal parameters through digital watermarking. The premise behind using digital watermarking is to highlight the ownership of the product without restricting how a buyer can use the downloaded digital content. Since digital watermarking offers consumer convenience, it can become a natural choice for most creators – including new and established authors and publishers.

Other than using digital watermarking, DRM can protect digital content from illegal use. Rather than just watermarking content it prevents illegal access, ensures only authorized devices can read content, and controls what users can do with content.

Cyber Security

Password protection – Some applications provide the option of password protecting documents, EPUB and PDF files. Passwords are the first line of defense that grants access to readers and authorized users. Nevertheless, many readily available online password recovery solutions and services can effortlessly get rid of passwords in a few clicks. This means that protecting e-books through passwords alone may not be enough to safeguard the content from piracy. Also, protecting digital content with passwords does not stop the consumer from distributing or sharing his or her purchase if the password is shared.

Public key technology – This is more secure than password protection since the keys used to protect content are not made available to the user so they cannot be shared. DRM systems using public key technology securely transfer keys to authorized devices and lock them to those devices so they cannot be shared.

Encryption – DRM solutions like Locklizard also make use of secure encryption to safeguard digital content. Through encryption, a consumer is permitted access and then DRM controls what can or cannot be done with the e-book, such as preventing from sharing the content digitally, printing or copying segments from it. DRM encryption is one of the most effective forms of protecting e-content.

Experts and content owners agree that safeguarding digital content is crucial to maintaining sales and profitability. Although understanding the various types of DRM options can prove challenging, choosing the right means of protecting digital content can be essential to content protection. And while digital watermarking is an intelligent solution for many content creators, its convenience is dependent on the type of material produced, audience addressed and methods used to distribute it.

Budding authors and publishers are keen not to alienate their new audiences and hence are careful in choosing the right kind of DRM strategy. Moreover, in this regard, digital watermarking is ideal for independent writers and publishers who are looking to help safeguard their creation while still providing accessibility and device compatibility to their buyers.

Helpful Resources:

1. What is htaccess File and HTTP Headers?

2. How to Protect WebSites Against Attackers or Hackers by using “X-Security Headers”.

3. What is HTTPS or HTTP Secure?

4. 4 Proactive Security Measures Your Online Business Needs To Succeed

5. 16 Best SEO Practices For Web Developers & Search Marketers in [2019]

6. SEO in 2019 [Tactics That Work] & How To Learn SEO in 2019 Hustle-Free

7. 16 Best (free) AMP – (Accelerated Mobile Pages) WordPress Plugins in [2019]

8. Top 50 Best (Free) WordPress WooCommerce Plugins for your storefront in [2019]

9. 16 Best Free SEO WordPress plugins for your Blogs & websites in [2019]

10. Top 5 Best Web Development Frameworks In [2019]

We are an Instructor, Modern Full Stack Web Application Developers, Freelancers, Tech Bloggers, and Technical SEO Experts. We deliver a rich set of software applications for your business needs.

Continue Reading
Click to comment

Leave a Reply

Your email address will not be published.

Cybersecurity

The Role of Machine Learning in Cybersecurity

In this article, let’s explore the role of machine learning cybersecurity and the future that machine learning makes possible.

mm

Published

on

The Role of Machine Learning in Cybersecurity

Today, the term “machine learning” (ML) is widely used in almost all IT-related fields.  Additionally, machine learning (ML) has proven invaluable in a variety of areas, including cybersecurity. It is routinely used to make sense of massive data, enhance company performance and procedures, and aid in prediction. In this article, let’s explore the role of machine learning cybersecurity and the future that machine learning makes possible.

1. Why Use ML in Cybersecurity?

Cybersecurity can use machine learning to study patterns and help stop similar assaults and react to altering activities. It can assist cybersecurity teams in being more active in thwarting threats and quickly responding to ongoing attacks. It can also shorten the time spent on repetitive work and make it possible for enterprises to employ their assets more wisely.

Scaling up security measures, identifying unknown threats, and identifying sophisticated attacks, such as polymorphic malware, are some of the growing lists of cybersecurity difficulties that can only be solved by machine learning. It can be exceedingly challenging to identify such sophisticated attacks when utilizing a standard signature-based technique because advanced malware can alter forms to elude detection.

Machine learning may greatly improve cybersecurity by making it less complicated, more proactive, and less expensive. However, it can only carry out such tasks if the machine learning is supported by data that fully captures the environment.

CYBER SECURITY Business technology Antivirus Alert Protection Security and Cyber Security Firewall Cybersecurity and information technology

2. How Machine Learning Will Improve Cybersecurity

Current cybersecurity solutions are supported by machine learning in a variety of ways. Each way is valuable on its own, but taken as a whole, they change the game when it comes to keeping a solid security position in the shifting cyber environment. Here’s a list of ways ML will improve cybersecurity:

a. Identification and Reporting

It’s difficult for large companies to be alert of every device that connects to their networks because there are so many of them. Network devices can be identified and profiled using machine learning. The various behaviors and features of a particular device can be determined by that profile.

b. Automated Threat Detection

An advantageous use in cybersecurity is using ML to quickly identify known harmful activities. ML can distinguish between normal and abnormal behavior after initially identifying devices and learning about everyday activities.

c. Scaled Insights

Since data and applications are spread across numerous places, it is just not humanly possible to detect trends across a large number of devices. ML can automate large-scale insights in ways that humans cannot.

d. Policy Recommendations

Creating building security rules is frequently a labor-intensive procedure with many difficulties. Machine learning can support policy recommendations for security devices, including firewalls, by identifying the devices that are present and what is typical behavior.

ML can generate particular suggestions that operate automatically rather than requiring users to manually travel through competing control lists for various devices and networks.

3. Endnote

Only ML can classify complex events and situations to enable enterprises to address cybersecurity challenges now and in the future. This is because more devices and dangers are coming online every day, while human security resources are in short supply.

Continue Reading
Advertisement
Advertisement
Games4 days ago

Best Apps to Watch The FIFA World Cup in Qatar 2022

Software6 days ago

The Rise And Risk Of Third Party Code

Software1 week ago

[Free] 2 Ways to Convert MP4 to AVI in a Quick and Easy Manner

Business1 week ago

4 SaaS Link Building Tips For Beginners

Software2 weeks ago

How to Monetize Your Software

Health & Fitness2 weeks ago

Data Observability: What is it and Why is it Important?

Digital Marketing2 weeks ago

What Are Privacy-Friendly Website Analytics Tools?

Business2 weeks ago

Why Your Business Should Invest In Workforce Management Tools

Technology2 weeks ago

What Is 3D Scanning Used For?

Education3 weeks ago

What are the Common Issues Among Medical Residents?

Advertisement
Advertisement

Trending