Data Concealing Techniques
Concealing data can be done in many different ways. These include substitution, encapsulation,character scrambling, and in-place data Encryption masking. Each of these techniques has its own advantages and disadvantages. For example, encapsulation can obscure the data’s source, while substitution can hide it from the receiver.
Substitution of data concealment is a technique that masks data by substituting one value for another. The purpose is to maintain the appearance of the original data while masking it from being read. This technique can work for a variety of types of data. For instance, it can be used to mask customer names. While this method is difficult to implement, it can protect data from being accessed by unauthorised users.
This method is highly customizable, allowing for substitution of data fields in different formats. For example, if a U.S. social security number is being used, it can be replaced with a letter x, a random number, or another random value. The exact substitution that is used depends on the use case.
Substitution of data concealment can also work to prevent the data Encryption from being viewed by unauthorised persons. It works by using a cipher alphabet that changes a single letter into another. These cipher alphabets are called ciphers and are often shifted, scrambled, or reversed to disguise their meaning. There are also more complex cipher alphabets called mixed alphabets. The traditional method of creating mixed alphabets involves writing out a word or phrase and then taking out any letters that are repeated. The remainder of the letters are then written out in the regular order.
In addition to encrypting data, substitution of data concealment has many practical uses. For example, it is useful as a learning tool. In addition, it can be a fun game or a logic puzzle. However, its weakness lies in its lack of robustness. A simple substitution cipher, for example, requires only 88 bits. But, with enough practice, even a beginner can crack it.
In object-oriented programming, encapsulation of data is a fundamental concept. Encapsulation is a means of bundling together data and methods in a way that prevents unauthorized access to the data. For example, if the data in an object is private, it will never be visible to the public.
Data is encapsulated into segments before it can be transmitted between computers. This process is required for file transfers, for example. Each segment encapsulates some data and contains a header that identifies the application sending the data. The header also contains network address information and encapsulates the segment into a packet. In addition, the frame header contains physical addressing information.
Encapsulation can be a powerful tool for software developers. In particular, it allows programmers to bundle data and methods so that they are not available to the public. This is important in situations where data that could potentially be sensitive must be protected. The Java programming language regulates encapsulation by using getter/setter methods for data attributes. These methods enable programmers to control access to specific data attributes, without affecting the rest of the code.
In addition to avoiding users from seeing sensitive data, encapsulated classes allow developers to keep data simple. For example, in a stack class, the designer might choose to implement the data using an array instead of a single variable. Instead of exposing the array to the user, the designer can create an interface for push() and pop() methods. These methods will store and retrieve the integers in the array, but they won’t be able to access the array directly.
Encapsulation is a vital concept in object-oriented programming. It helps programmers secure their data from outside interference. The main goal is to hide information from unauthorized users. This is achieved by keeping the data private and protected.
Character scrambling is a simple technique used to hide data. It consists of randomly changing the order of characters, which hides the original content. For instance, this technique can replace an employee’s ID with another number. This makes it much harder to identify the owner of the data.
Another method of concealing data is to replace the original value with a plausible alternative. The alternative value is often derived from a lookup table. The replacement value must pass all rule constraints and maintain the original characteristics. This method is more difficult to use than scrambling, but it provides a good level of security.
There are several methods of data masking used by IT professionals. To make the data appear random, IT professionals can use character scrambling. Using character scrambling in a test database can replace a single ID with a series of random characters. This masking technique can be effective for certain types of data, but it can also make data less useful for testing.
In-place data masking
The process of data masking involves extracting the data from a source and replacing the original data with empty values. The extracted data may be streamed directly to a masking application, or exported to an encrypted file and transferred to the platform via an SSL connection. The process is effective for data that is not sensitive and is intended for aggregation, testing, and analytical purposes. In-place data masking has several advantages over single-time masking, but it can be difficult to perform, and it is dependent on the security of the data.
In-place data masking helps to protect the privacy of data and helps businesses avoid data breaches. According to recent data privacy research, the total cost of a data breach in the US was almost eight million dollars, more than double the global average. With these rising costs, organizations are increasingly aware of the importance of data security. Moreover, stringent data privacy legislation in the US and EU has made it more important to protect sensitive information. Consequently, more organizations are turning to in-place data masking to ensure the confidentiality of their data.
Another common threat to PII data is data exfiltration. This can result from insiders or external attackers. In-place data masking helps companies minimize these risks by creating a fake version of organizational data that cannot be deciphered. The process can use character shuffling, word substitution, or encryption to change the values of sensitive data.
Data masking is a highly effective way to protect sensitive information while preserving the original data structure and format. This method is inexpensive and easy to implement. It also helps companies comply with GDPR regulations while offering a competitive edge in the marketplace.
Steganography is a technique that allows users to hide information in digital files. It can be applied to a wide range of files. One common technique is putting the secret message in redundant data. For example, a file may contain the letter Z, but the “least significant bit” (LSB) is changed to send a random number.
The use of steganography has been around for a long time. To use this method, the data must be analyzed for each frame. A minute’s worth of video can contain between 1,440 and 1,800 frames. This process is time-consuming and requires developer chemicals and ultraviolet light. While this method is not perfect, it is an efficient solution in some instances. For example, a prison may use it to screen mail from suspected individuals.
Besides being useful in situations where sending encrypted messages could raise suspicion, steganography can be used to find stolen files. In addition to its security benefits, steganography is also cool. Steganography uses a variety of techniques, including the least significant bit (LSB) technique.
Using least significant bit steganography to conceal data works well for ASCII text and media files. A single bit out of place can change a character. The disadvantage of least significant bit steganography is that it’s relatively easy to detect. There are, however, other steganography methods that are less detectable. One of them involves changing the weights of cosine waves, which are used in the reconstruction of JPEG images.
Steganography has also been used by ransomware gangs to conceal their payloads. For example, the Lurk/Stegoloadr ransomware program hid URLs in an image file in order to download a second payload. The Cerber and SyncCrypt malware cloaked their code in image files. In addition, TeslaCrypt included instructions for a command-and-control server.