komunikacja: Endianness

Evidence: 100 • authority: 72

In computing, endianness is the order in which bytes within a word data type are transmitted over a data communication medium or addressed in computer memory, counting only byte significance. Endianness is primarily expressed as big-endian (BE) or little-endian (LE). Computers store information in various-sized groups of binary bits. Each group is assigned a number, called its address, that the computer uses to access that data. On most modern computers, the smallest data group with an address is eight bits long and is called a byte. Larger groups comprise two or more bytes; for example, a word often contains 32 bits or 64 bits. There are two principal ways a computer could number the indiv…

Evidence: 66 • authority: 72

The byte is a unit of digital information that commonly consists of eight bits. Historically, the byte was the number of bits used to encode a single character of text in a computer and for this reason it is the smallest addressable unit of memory in many computer architectures. To disambiguate arbitrarily sized bytes from the common 8-bit definition, network protocol documents such as the Internet Protocol (RFC 791) refer to an 8-bit byte as an octet. Those bits in an octet are usually counted with numbering from 0 to 7 or 7 to 0 depending on the bit endianness. The size of the byte has historically been hardware-dependent and no definitive standards existed that mandated the size. Sizes f…

Evidence: 58 • authority: 72

In computer science, an integer is a datum of integral data type, a data type that represents some range of mathematical integers. Integral data types may be of different sizes and may or may not be allowed to contain negative values. Integers are commonly represented in a computer as a group of binary digits (bits). The size of the grouping varies so the set of integer sizes available varies between different types of computers. Computer hardware nearly always provides a way to represent a processor register or memory address as an integer.

Evidence: 42 • authority: 88

Hybrid of Least Significant Bits and most Significant Bits for Improving Security and Quality of Digital Image Steganography. The Security of confidential communication is protected using the most popular type of carrier to hold information known as Image steganography. The Least Significant Bit (LSB) algorithm and the Most Significant Bit (MSB) algorithm are steganography algorithms used for information hiding in digital images both have disadvantages of Low image quality, Security, vulnerability to any small modifications, and long encoding time during message compression. To overcome this limitation, the research proposes a Secured Hybrid algorithm called S-Hybrid to combine (LSB and MSB…