Confidential Text Research Articles

Algoritma Caesar Cipher atau Vigenere Cipher pada Pengenkripsian Pesan Teks

Cryptography is a science that studies information security on data with the aim of preventing other people from wanting to know its contents, by using certain codes and rules and other methods so that only authorized people can see the contents of the code. By creating an application which uses the Java programming language with NetBeans to maintain the security of text input information sent by someone so that it is not easy to read, confidential text. The caesar algorithm is a classic substitution-based cipher system that is simple in encryption and decryption of a caesar cipher system using shift operations. The Vigenere Cipher algorithm is a classic cryptographic algorithm that utilizes the vigenere square principle to perform encryption.

Data hiding to the image with bit plane slicing and double XOR

Data hiding is done in different environments and with different techniques, and applications in this area attract a lot of attention. In data hiding, the method of securing the data in the image by hiding data is one of the steganography methods. Bit Plane Slicing, one of the techniques applied in image steganography, is a reliable technique applied on images such as data hiding or compression, which allows us to operate on some special bits by separating each pixel that makes up the image into planes. This technique is aimed to provide high image quality and data security. In this study, two encryption layers and a concealment stage are proposed. Here, the bit planes of the three channels of the color image were first extracted using the BPS technique. The message to be hidden later was encrypted using a double XOR operation using binary representation and a secret key (extracted from the MSB). Then, the stream of encrypted bits is hidden in the cover image using the least significant bit plane. Well-known evaluation criteria such as MSE, PSNR, and histogram distribution were calculated to ensure the quality of the proposed method. Experimental results show that the proposed method has acceptable results and maintains the security of confidential text messages.

Penerapan Algoritma Xtea Dengan Metode Pembangkitan Kunci Linear Congruential Generator Untuk Pengamanan Teks Rahasia

Confidential text data is very vulnerable to wiretapping by irresponsible parties. The text is still plaintext, making it easier for the attacker to make use of it. Text data can be secured by several techniques. One of them is cryptographic techniques. Cryptographic techniques can secure secret text data by randomizing the hex value of the data into a data that cannot be recognized and read. One of the reliable algorithms is the eXtended Tiny Encryption Algorithm (XTEA) symmetry algorithm. The XTEA algorithm is a simple algorithm that is lightweight and fast in the encryption and decryption process. However, the concept of the symmetry algorithm is the encryption and decryption process using the same key. The security of this concept is very vulnerable if the key is leaked and is public. So that this can be optimized by generating keys using the Linear Congruential Generator (LCG) method. Key generation is used with prime numbers. The key sent to an eligible recipient is only the initial prime number. So that the recipient has to do key assembly first to carry out the decryption process. This can optimize the encrypted ciphertext using the XTEA algorithm.

Blockchain Technology Application: Authentication System in Digital Education

The application of technology in various aspects of life has made it easy for many people. However, there are also shortcomings in the use of technology, one of which is security issues, both transactions and data. Given these issues in this paper, we propose blockchain technology for an authentication system that will protect data rights and interests and be safe from interference to store information in the form of confidential text, especially in the application of technology in education. From this writing, there are 2 benefits, the first is that all data stored in the education system is guaranteed and there will be increased trust from both parents, teachers and other parties due to the decentralized nature of blockchain.

Discrete Cosine Transform-Domain Based Video Steganography using Multiple Object Tracking

In the current era, the need for transmission of confidential data is pivotal in all domains of technology. New methodologies are being proposed for this very purpose, each being developed on specific shortcomings of previously proposed methods. In this paper, one such method for embedding and communicating confidential information has been proposed which employs encryption and error correction algorithms to further improve the reliability and robustness of the system. First, the information is preprocessed by encrypting the text using RC4 algorithm. The encrypted text is processed using hamming codes (4,7) to improve its reliability. After the pre-processing stage, the video is processed to identify reliable motion regions using the MOT (Multiple Object Tracking) algorithm. The identified regions are used to embed the confidential text by calculating its DCT coefficients and manipulating its values to embed the information. The non-motion region is used to store the key used during the pre-processing stage. This completes the processes at the transmitter’s part. The inverse of the process-extraction and decoding is applied at the receiver’s side to retrieve the confidential piece of information being transferred. The proposed methodology further focusses on comparing the visual quality and hiding capacity achieved by adopting DCT and DWT algorithms, to determine the better of the two frequency domain techniques in steganographic applications.

Система маркирования документов для проведения расследований при их утечке

This paper presents a confidential text documents leakage investigation system, focused on leak channels by documents printing and screen photographing. Internal intruders may print confidential document, take paper copy out of protected perimeter, make document image by scanner and perform anonymous leak. Also, intruders may take a photo of printed confidential document or displayed on workstation screen using personal mobile phone. Described leakage channels are weakly covered by traditional DLP systems that are usually used by enterprises for confidential information leak protection. Digital watermark (DWM) embedding is chosen as a document protection mechanism by implying changing of document image visual representation. In case of confidential document anonymous leak embedded DWM would enable the employee to determine what leak intentionally or by security protocol violation. System architecture consists of different type components. Employees’ workstation components provide DWM embedding into documents, which are sent for printing or displayed on screen. Information about watermark embedding is sent to a remote server that aggregates marking facts and provides it to security officer during investigation. Text document marking algorithms are developed, which embed DWM into printed and displayed on screen documents. Screen watermark is embedded into interline space interval, information is encoded by sequence of lightened and darkened spaces. DWM embedding into printed documents is implemented by three algorithms: horizontal and vertical shift based, font fragments brightness changing based. Algorithms testing methodology is developed in view of the production environment, that helped to evaluate the application area of algorithms. Besides, intruder model was formulated, system security was evaluated and determined possible attack vectors.

A Unique Way to Generate Password at Random Basis and Sending it Using a New Steganography Technique

Data hiding is a technique for secure transmission of confidential data. Many data hiding techniques exist and steganography is the most important one. This paper presents a new steganography method in spatial domain. We use steganography to send confidential information from sender to receiver. Here, we generate password at random basis in a unique way based on system time and date. Then we send this confidential password using steganography by implementing a totally new embedding and extraction technique based on exact length of bits in binary representation of ASCII values. Here, confidential text information is embedded into cover image generating a stego image and sent to receiver maintaining top level secrecy.

A Unique Way to Generate Password at Random Basis and Sending it Using a New Steganography Technique

Data hiding is a technique for secure transmission of confidential data. Many data hiding techniques exist and steganography is the most important one. This paper presents a new steganography method in spatial domain. We use steganography to send confidential information from sender to receiver. Here, we generate password at random basis in a unique way based on system time and date. Then we send this confidential password using steganography by implementing a totally new embedding and extraction technique based on exact length of bits in binary representation of ASCII values. Here, confidential text information is embedded into cover image generating a stego image and sent to receiver maintaining top level secrecy.

Design of Steganographic Applications in A Processed Image using Algorithm Dynamic Markov Compression

Confidential text data is an important matter that needs to be protected and kept confidential. Secret text data is a treasure where many people who want to try to find out first find out its contents. Therefore it is not uncommon for crimes to appear intentionally committed by irresponsible people. With the increasing number of people who commit crimes who deliberately steal confidential data and damage confidential text data so that it can harm certain parties. There have been several attempts to deal with the issue of security of confidential data sent over the internet, including using cryptographic and steganographic techniques

IMPLEMENTASI ALGORITMA SPRITZ DAN SPREAD SPECTRUM UNTUK MENYEMBUYIKAN PESAN ENKRIPSI KEDALAM FILE AUDIO MP3

Optimizing the security of confidential text messages is very important to protect the contents of messages from those who want to use or damage the message. The use of cryptographic techniques in securing data can still raise suspicion of the message that has been secured. This study explores how to use steganography techniques to coat encrypted message security based on steganography techniques. The spritz algorithm is a cryptographic algorithm that is used to obtain the cipher from the original message, while the spread spectrum method is a method used to hide the original data password into an image. Based on testing done by combining these two techniques, it is quite reliable to optimize the security of secret messages because others cannot see the existence of the cipher of the original data in plain sight.Keywords: Cryptography, Steganography, Spritz, Spread Spectrum, mp3

Jean Cocteau's Le Livre blanc: sex, text and images

From the first edition to the last one published, while he was still alive, Jean Cocteau systematically refused to print his name on the cover of Le Livre blanc: the text was to remain anonymous, although Cocteau himself had not hesitated to demonstrate his intimate relationship to the book by illustrating it on several occasions, and by adding a short manuscript note to the second French edition and a longer foreword to the English one. Indeed, of all Cocteau's books, Le Livre blanc is probably one of his most confusing, because of both its subject and its form or forms. Even today it remains difficult to consider this book. The critic finds himself lost among the multiple editions (see list in fine), the various versions of the text, and the many illustrations, as well as the prefaces, manuscript notes and frontispieces. Despite it') nature as a confidential text often dismissed by the critics and Cocteau himself, Le Livre blanc has appeared in no less than 13 different editions from 1928 to the present. This number is quite exceptional given the topic of the book: male homosexuality.

Visual cryptography with extra ability of hiding confidential data

We present a two-in-one visual cryptography (VC) scheme that not only shares an image of moderate confidentiality between two noisy transparencies, but also hides in these two transparencies a more confidential text file describing the image. None of the transparencies alone can reveal anything about the image or text. Later, people can view the image by simply stacking the two transparencies; on the other hand, after certain simple computations, the more confidential text data can also be extracted. We also introduce an alternative version in which the decoding of both the image and text requires no computer.

Concept-match medical data scrubbing. How pathology text can be used in research.

In the normal course of activity, pathologists create and archive immense data sets of scientifically valuable information. Researchers need pathology-based data sets, annotated with clinical information and linked to archived tissues, to discover and validate new diagnostic tests and therapies. Pathology records can be used for research purposes (without obtaining informed patient consent for each use of each record), provided the data are rendered harmless. Large data sets can be made harmless through 3 computational steps: (1) deidentification, the removal or modification of data fields that can be used to identify a patient (name, social security number, etc); (2) rendering the data ambiguous, ensuring that every data record in a public data set has a nonunique set of characterizing data; and (3) data scrubbing, the removal or transformation of words in free text that can be used to identify persons or that contain information that is incriminating or otherwise private. This article addresses the problem of data scrubbing. To design and implement a general algorithm that scrubs pathology free text, removing all identifying or private information. The Concept-Match algorithm steps through confidential text. When a medical term matching a standard nomenclature term is encountered, the term is replaced by a nomenclature code and a synonym for the original term. When a high-frequency "stop" word, such as a, an, the, or for, is encountered, it is left in place. When any other word is encountered, it is blocked and replaced by asterisks. This produces a scrubbed text. An open-source implementation of the algorithm is freely available. The Concept-Match scrub method transformed pathology free text into scrubbed output that preserved the sense of the original sentences, while it blocked terms that did not match terms found in the Unified Medical Language System (UMLS). The scrubbed product is safe, in the restricted sense that the output retains only standard medical terms. The software implementation scrubbed more than half a million surgical pathology report phrases in less than an hour. Computerized scrubbing can render the textual portion of a pathology report harmless for research purposes. Scrubbing and deidentification methods allow pathologists to create and use large pathology databases to conduct medical research.