Cyclic redundancy check
||It has been suggested that Computation of cyclic redundancy checks and Mathematics of cyclic redundancy checks be merged into this article. (Discuss) Proposed since March 2016.|
A cyclic redundancy check (CRC) is an error-detecting code commonly used in digital networks and storage devices to detect accidental changes to raw data. Blocks of data entering these systems get a short check value attached, based on the remainder of a polynomial division of their contents. On retrieval, the calculation is repeated and, in the event the check values do not match, corrective action can be taken against data corruption.
CRCs are so called because the check (data verification) value is a redundancy (it expands the message without adding information) and the algorithm is based on cyclic codes. CRCs are popular because they are simple to implement in binary hardware, easy to analyze mathematically, and particularly good at detecting common errors caused by noise in transmission channels. Because the check value has a fixed length, the function that generates it is occasionally used as a hash function.
The CRC was invented by W. Wesley Peterson in 1961; the 32-bit CRC function of Ethernet and many other standards is the work of several researchers and was published in 1975.
CRCs are based on the theory of cyclic error-correcting codes. The use of systematic cyclic codes, which encode messages by adding a fixed-length check value, for the purpose of error detection in communication networks, was first proposed by W. Wesley Peterson in 1961. Cyclic codes are not only simple to implement but have the benefit of being particularly well suited for the detection of burst errors: contiguous sequences of erroneous data symbols in messages. This is important because burst errors are common transmission errors in many communication channels, including magnetic and optical storage devices. Typically an n-bit CRC applied to a data block of arbitrary length will detect any single error burst not longer than n bits and will detect a fraction 1/(1 − 2−n) of all longer error bursts.
Specification of a CRC code requires definition of a so-called generator polynomial. This polynomial becomes the divisor in a polynomial long division, which takes the message as the dividend and in which the quotient is discarded and the remainder becomes the result. The important caveat is that the polynomial coefficients are calculated according to the arithmetic of a finite field, so the addition operation can always be performed bitwise-parallel (there is no carry between digits). The length of the remainder is always less than the length of the generator polynomial, which therefore determines how long the result can be.
A CRC is called an n-bit CRC when its check value is n bits long. For a given n, multiple CRCs are possible, each with a different polynomial. Such a polynomial has highest degree n, which means it has n + 1 terms. In other words, the polynomial has a length of n + 1; its encoding requires n + 1 bits. Note that most polynomial specifications either drop the MSB or LSB, since they are always 1. The CRC and associated polynomial typically have a name of the form CRC-n-XXX as in the table below.
The simplest error-detection system, the parity bit, is in fact a trivial 1-bit CRC: it uses the generator polynomial x + 1 (two terms), and has the name CRC-1.
A CRC-enabled device calculates a short, fixed-length binary sequence, known as the check value or CRC, for each block of data to be sent or stored and appends it to the data, forming a codeword.
When a codeword is received or read, the device either compares its check value with one freshly calculated from the data block, or equivalently, performs a CRC on the whole codeword and compares the resulting check value with an expected residue constant.
If the CRC check values do not match, then the block contains a data error.
The device may take corrective action, such as rereading the block or requesting that it be sent again. Otherwise, the data is assumed to be error-free (though, with some small probability, it may contain undetected errors; this is the fundamental nature of error-checking).
CRCs are specifically designed to protect against common types of errors on communication channels, where they can provide quick and reasonable assurance of the integrity of messages delivered. However, they are not suitable for protecting against intentional alteration of data.
Firstly, as there is no authentication, an attacker can edit a message and recompute the CRC without the substitution being detected. When stored alongside the data, CRCs and cryptographic hash functions by themselves do not protect against intentional modification of data. Any application that requires protection against such attacks must use cryptographic authentication mechanisms, such as message authentication codes or digital signatures (which are commonly based on cryptographic hash functions).
Secondly, unlike cryptographic hash functions, CRC is an easily reversible function, which makes it unsuitable for use in digital signatures.
Thirdly, CRC is a linear function with a property that ; as a result, even if the CRC is encrypted with a stream cipher that uses XOR as its combining operation (or mode of block cipher which effectively turns it into a stream cipher, such as OFB or CFB), both the message and the associated CRC can be manipulated without knowledge of the encryption key; this was one of the well-known design flaws of the Wired Equivalent Privacy (WEP) protocol.
|This section does not cite any sources. (July 2016) (Learn how and when to remove this template message)|
To compute an n-bit binary CRC, line the bits representing the input in a row, and position the (n + 1)-bit pattern representing the CRC's divisor (called a "polynomial") underneath the left-hand end of the row.
In this example, we shall encode 14 bits of message with a 3-bit CRC, with a polynomial x3 + x + 1. The polynomial is written in binary as the coefficients; a 3rd-order polynomial has 4 coefficients (1x3 + 0x2 + 1x + 1). In this case, the coefficients are 1, 0, 1 and 1. The result of the calculation is 3 bits long.
Start with the message to be encoded:
This is first padded with zeros corresponding to the bit length n of the CRC. Here is the first calculation for computing a 3-bit CRC:
11010011101100 000 <--- input right padded by 3 bits 1011 <--- divisor (4 bits) = x³ + x + 1 ------------------ 01100011101100 000 <--- result
The algorithm acts on the bits directly above the divisor in each step. The result for that iteration is the bitwise XOR of the polynomial divisor with the bits above it. The bits not above the divisor are simply copied directly below for that step. The divisor is then shifted one bit to the right, and the process is repeated until the divisor reaches the right-hand end of the input row. Here is the entire calculation:
11010011101100 000 <--- input right padded by 3 bits 1011 <--- divisor 01100011101100 000 <--- result (note the first four bits are the XOR with the divisor beneath, the rest of the bits are unchanged) 1011 <--- divisor ... 00111011101100 000 1011 00010111101100 000 1011 00000001101100 000 <--- note that the divisor moves over to align with the next 1 in the dividend (since quotient for that step was zero) 1011 (in other words, it doesn't necessarily move one bit per iteration) 00000000110100 000 1011 00000000011000 000 1011 00000000001110 000 1011 00000000000101 000 101 1 ----------------- 00000000000000 100 <--- remainder (3 bits). Division algorithm stops here as dividend is equal to zero.
Since the leftmost divisor bit zeroed every input bit it touched, when this process ends the only bits in the input row that can be nonzero are the n bits at the right-hand end of the row. These n bits are the remainder of the division step, and will also be the value of the CRC function (unless the chosen CRC specification calls for some postprocessing).
The validity of a received message can easily be verified by performing the above calculation again, this time with the check value added instead of zeroes. The remainder should equal zero if there are no detectable errors.
11010011101100 100 <--- input with check value 1011 <--- divisor 01100011101100 100 <--- result 1011 <--- divisor ... 00111011101100 100 ...... 00000000001110 100 1011 00000000000101 100 101 1 ------------------ 0 <--- remainder
The following Python code outlines a function which will return the initial CRC remainder for a chosen input and polynomial, with either 1 or 0 as the initial padding. Note that this code works with string inputs rather than raw numbers:
def crc_remainder(input_bitstring, polynomial_bitstring, initial_filler): ''' Calculates the CRC remainder of a string of bits using a chosen polynomial. initial_filler should be '1' or '0'. ''' len_input = len(input_bitstring) initial_padding = initial_filler * (len(polynomial_bitstring) - 1) input_padded_array = list(input_bitstring + initial_padding) polynomial_bitstring = polynomial_bitstring.lstrip('0') while '1' in input_padded_array[:len_input]: cur_shift = input_padded_array.index('1') for i in range(len(polynomial_bitstring)): if polynomial_bitstring[i] == input_padded_array[cur_shift + i]: input_padded_array[cur_shift + i] = '0' else: input_padded_array[cur_shift + i] = '1' return ''.join(input_padded_array)[len_input:]
|This section does not cite any sources. (July 2016) (Learn how and when to remove this template message)|
Mathematical analysis of this division-like process reveals how to select a divisor that guarantees good error-detection properties. In this analysis, the digits of the bit strings are taken as the coefficients of a polynomial in some variable x—coefficients that are elements of the finite field GF(2), instead of more familiar numbers. The set of binary polynomials is a mathematical ring.
The selection of the generator polynomial is the most important part of implementing the CRC algorithm. The polynomial must be chosen to maximize the error-detecting capabilities while minimizing overall collision probabilities.
The most important attribute of the polynomial is its length (largest degree(exponent) +1 of any one term in the polynomial), because of its direct influence on the length of the computed check value.
The most commonly used polynomial lengths are:
- 9 bits (CRC-8)
- 17 bits (CRC-16)
- 33 bits (CRC-32)
- 65 bits (CRC-64)
A CRC is called an n-bit CRC when its check value is n-bits. For a given n, multiple CRCs are possible, each with a different polynomial. Such a polynomial has highest degree n, and hence n + 1 terms (the polynomial has a length of n + 1). The remainder has length n. The CRC has a name of the form CRC-n-XXX.
The design of the CRC polynomial depends on the maximum total length of the block to be protected (data + CRC bits), the desired error protection features, and the type of resources for implementing the CRC, as well as the desired performance. A common misconception is that the "best" CRC polynomials are derived from either irreducible polynomials or irreducible polynomials times the factor 1 + x, which adds to the code the ability to detect all errors affecting an odd number of bits. In reality, all the factors described above should enter into the selection of the polynomial and may lead to a reducible polynomial. However, choosing a reducible polynomial will result in a certain proportion of missed errors, due to the quotient ring having zero divisors.
The advantage of choosing a primitive polynomial as the generator for a CRC code is that the resulting code has maximal total block length in the sense that all 1-bit errors within that block length have different remainders (also called syndromes) and therefore, since the remainder is a linear function of the block, the code can detect all 2-bit errors within that block length. If is the degree of the primitive generator polynomial, then the maximal total block length is , and the associated code is able to detect any single-bit or double-bit errors. We can improve this situation. If we use the generator polynomial , where is a primitive polynomial of degree , then the maximal total block length is , and the code is able to detect single, double, triple and any odd number of errors.
A polynomial that admits other factorizations may be chosen then so as to balance the maximal total blocklength with a desired error detection power. The BCH codes are a powerful class of such polynomials. They subsume the two examples above. Regardless of the reducibility properties of a generator polynomial of degree r, if it includes the "+1" term, the code will be able to detect error patterns that are confined to a window of r contiguous bits. These patterns are called "error bursts".
The concept of the CRC as an error-detecting code gets complicated when an implementer or standards committee uses it to design a practical system. Here are some of the complications:
- Sometimes an implementation prefixes a fixed bit pattern to the bitstream to be checked. This is useful when clocking errors might insert 0-bits in front of a message, an alteration that would otherwise leave the check value unchanged.
- Usually, but not always, an implementation appends n 0-bits (n being the size of the CRC) to the bitstream to be checked before the polynomial division occurs. Such appending is explicitly demonstrated in the Computation of CRC article. This has the convenience that the remainder of the original bitstream with the check value appended is exactly zero, so the CRC can be checked simply by performing the polynomial division on the received bitstream and comparing the remainder with zero. Due to the associative and commutative properties of the exclusive-or operation, practical table driven implementations can obtain a result numerically equivalent to zero-appending without explicitly appending any zeroes, by using an equivalent, faster algorithm that combines the message bitstream with the stream being shifted out of the CRC register.
- Sometimes an implementation exclusive-ORs a fixed bit pattern into the remainder of the polynomial division.
- Bit order: Some schemes view the low-order bit of each byte as "first", which then during polynomial division means "leftmost", which is contrary to our customary understanding of "low-order". This convention makes sense when serial-port transmissions are CRC-checked in hardware, because some widespread serial-port transmission conventions transmit bytes least-significant bit first.
- Byte order: With multi-byte CRCs, there can be confusion over whether the byte transmitted first (or stored in the lowest-addressed byte of memory) is the least-significant byte (LSB) or the most-significant byte (MSB). For example, some 16-bit CRC schemes swap the bytes of the check value.
- Omission of the high-order bit of the divisor polynomial: Since the high-order bit is always 1, and since an n-bit CRC must be defined by an (n + 1)-bit divisor which overflows an n-bit register, some writers assume that it is unnecessary to mention the divisor's high-order bit.
- Omission of the low-order bit of the divisor polynomial: Since the low-order bit is always 1, authors such as Philip Koopman represent polynomials with their high-order bit intact, but without the low-order bit (the or 1 term). This convention encodes the polynomial complete with its degree in one integer.
These complications mean that there are three common ways to express a polynomial as an integer: the first two, which are mirror images in binary, are the constants found in code; the third is the number found in Koopman's papers. In each case, one term is omitted. So the polynomial may be transcribed as:
- 0x3 = 0b0011, representing (MSB-first code)
- 0xC = 0b1100, representing (LSB-first code)
- 0x9 = 0b1001, representing (Koopman notation)
In the table below they are shown as:
Standards and common useEdit
Numerous varieties of cyclic redundancy checks have been incorporated into technical standards. By no means does one algorithm, or one of each degree, suit every purpose; Koopman and Chakravarty recommend selecting a polynomial according to the application requirements and the expected distribution of message lengths. The number of distinct CRCs in use has confused developers, a situation which authors have sought to address. There are three polynomials reported for CRC-12, nineteen conflicting definitions of CRC-16, and seven of CRC-32.
The polynomials commonly applied are not the most efficient ones possible. Since 1993, Koopman, Castagnoli and others have surveyed the space of polynomials between 3 and 64 bits in size, finding examples that have much better performance (in terms of Hamming distance for a given message size) than the polynomials of earlier protocols, and publishing the best of these with the aim of improving the error detection capacity of future standards. In particular, iSCSI and SCTP have adopted one of the findings of this research, the CRC-32C (Castagnoli) polynomial.
The design of the 32-bit polynomial most commonly used by standards bodies, CRC-32-IEEE, was the result of a joint effort for the Rome Laboratory and the Air Force Electronic Systems Division by Joseph Hammond, James Brown and Shyan-Shiang Liu of the Georgia Institute of Technology and Kenneth Brayer of the MITRE Corporation. The earliest known appearances of the 32-bit polynomial were in their 1975 publications: Technical Report 2956 by Brayer for MITRE, published in January and released for public dissemination through DTIC in August, and Hammond, Brown and Liu's report for the Rome Laboratory, published in May. Both reports contained contributions from the other team. During December 1975, Brayer and Hammond presented their work in a paper at the IEEE National Telecommunications Conference: the IEEE CRC-32 polynomial is the generating polynomial of a Hamming code and was selected for its error detection performance. Even so, the Castagnoli CRC-32C polynomial used in iSCSI or SCTP matches its performance on messages from 58 bits to 131 kbits, and outperforms it in several size ranges including the two most common sizes of Internet packet. The ITU-T G.hn standard also uses CRC-32C to detect errors in the payload (although it uses CRC-16-CCITT for PHY headers).
The table below lists only the polynomials of the various algorithms in use. Variations of a particular protocol can impose pre-inversion, post-inversion and reversed bit ordering as described above. For example, the CRC32 used in Gzip and Bzip2 use the same polynomial, but Gzip employs reversed bit ordering, while Bzip2 does not.
CRCs in proprietary protocols might be obfuscated by using a non-trivial initial value and a final XOR, but these techniques do not add cryptographic strength to the algorithm and can be reverse engineered using straightforward methods.
See Polynomial representations of cyclic redundancy checks for the algebraic representations of the polynomials for the CRCs below.
|CRC-1||most hardware; also known as parity bit||0x1||0x1||0x1|
|CRC-5-EPC||Gen 2 RFID||0x09||0x12||0x14|
|CRC-5-USB||USB token packets||0x05||0x14||0x12|
|CRC-6-DARC||Data Radio Channel||0x19||0x26||0x2C|
|CRC-7||telecom systems, G.707, G.832, MMC, SD||0x09||0x48||0x44|
|CRC-7-MVB||Train Communication Network, IEC 60870-5||0x65||0x53||0x72|
|CRC-8-AUTOSAR||automotive integration, OpenSafety||0x2F||0xF4||0x97|
|CRC-8-CCITT||I.432.1; ATM HEC, ISDN HEC and cell delineation||0x07||0xE0||0x83|
|CRC-8-DARC||Data Radio Channel||0x39||0x9C||0x9C|
|CRC-13-BBC||Time signal, Radio teleswitch||0x1CF5||0x15E7||0x1E7A|
|CRC-14-DARC||Data Radio Channel||0x0805||0x2804||0x2402|
|CRC-16-Chakravarty||Optimal for payloads ≤64 bits||0x2F15||0xA8F4||0x978A|
|CRC-16-CCITT||X.25, V.41, HDLC FCS, XMODEM, Bluetooth, PACTOR, SD, DigRF, many others; known as CRC-CCITT||0x1021||0x8408||0x8810|
|CRC-16-DNP||DNP, IEC 870, M-Bus||0x3D65||0xA6BC||0x9EB2|
|CRC-16-IBM||Bisync, Modbus, USB, ANSI X3.28, SIA DC-07, many others; also known as CRC-16 and CRC-16-ANSI||0x8005||0xA001||0xC002|
|CRC-32||HDLC, ANSI X3.66, ITU-T V.42, Ethernet, Serial ATA, MPEG-2, PKZIP, Gzip, Bzip2, PNG, many others||0x04C11DB7||0xEDB88320||0x82608EDB|
|CRC-32C (Castagnoli)||iSCSI, SCTP, G.hn payload, SSE4.2, Btrfs, ext4, Ceph||0x1EDC6F41||0x82F63B78||0x8F6E37A0|
|CRC-40-GSM||GSM control channel||0x0004820009||0x9000412000||0x8002410004|
|CRC-64-ECMA||ECMA-182, XZ Utils||0x42F0E1EBA9EA3693||0xC96C5795D7870F42||0xA17870F5D4F51B49|
|CRC-64-ISO||HDLC, Swiss-Prot/TrEMBL; considered weak for hashing||0x000000000000001B||0xD800000000000000||0x800000000000000D|
- Peterson, W. W.; Brown, D. T. (January 1961). "Cyclic Codes for Error Detection". Proceedings of the IRE. 49 (1): 228–235. doi:10.1109/JRPROC.1961.287814.
- Ritter, Terry (February 1986). "The Great CRC Mystery". Dr. Dobb's Journal. 11 (2): 26–34, 76–83. Retrieved 21 May 2009.
- Stigge, Martin; Plötz, Henryk; Müller, Wolf; Redlich, Jens-Peter (May 2006). "Reversing CRC – Theory and Practice" (PDF). Berlin: Humboldt University Berlin: 17. Retrieved 4 February 2011.
The presented methods offer a very easy and efficient way to modify your data so that it will compute to a CRC you want or at least know in advance.
- Cam-Winget, Nancy; Housley, Russ; Wagner, David; Walker, Jesse (May 2003). "Security Flaws in 802.11 Data Link Protocols". Communications of the ACM. 46 (5): 35–39. doi:10.1145/769800.769823.
- Williams, Ross N. (24 September 1996). "A Painless Guide to CRC Error Detection Algorithms V3.0". Retrieved 5 June 2010.
- Press, WH; Teukolsky, SA; Vetterling, WT; Flannery, BP (2007). "Section 22.4 Cyclic Redundancy and Other Checksums". Numerical Recipes: The Art of Scientific Computing (3rd ed.). New York: Cambridge University Press. ISBN 978-0-521-88068-8.
- Koopman, Philip; Chakravarty, Tridib (June 2004). "Cyclic Redundancy Code (CRC) Polynomial Selection For Embedded Networks" (PDF). The International Conference on Dependable Systems and Networks: 145–154. doi:10.1109/DSN.2004.1311885. ISBN 0-7695-2052-9. Retrieved 14 January 2011.
- Cook, Greg (27 July 2016). "Catalogue of parametrised CRC algorithms". Retrieved 1 August 2016.
- Castagnoli, G.; Bräuer, S.; Herrmann, M. (June 1993). "Optimization of Cyclic Redundancy-Check Codes with 24 and 32 Parity Bits". IEEE Transactions on Communications. 41 (6): 883–892. doi:10.1109/26.231911.
- Koopman, Philip (July 2002). "32-Bit Cyclic Redundancy Codes for Internet Applications" (PDF). The International Conference on Dependable Systems and Networks: 459–468. doi:10.1109/DSN.2002.1028931. ISBN 0-7695-1597-5. Retrieved 14 January 2011.
- Koopman, Philip (21 January 2016). "Best CRC Polynomials". Pittsburgh: Carnegie Mellon University. Retrieved 26 January 2016.
- Brayer, Kenneth (August 1975). "Evaluation of 32 Degree Polynomials in Error Detection on the SATIN IV Autovon Error Patterns". National Technical Information Service: 74. Retrieved 3 February 2011.
- Hammond, Joseph L., Jr.; Brown, James E.; Liu, Shyan-Shiang (1975). "Development of a Transmission Error Model and an Error Control Model" (PDF). Unknown. National Technical Information Service (published May 1975). 76: 74. Bibcode:1975STIN...7615344H. Retrieved 7 July 2012.
- Brayer, Kenneth; Hammond, Joseph L., Jr. (December 1975). "Evaluation of error detection polynomial performance on the AUTOVON channel". Conference Record. IEEE National Telecommunications Conference, New Orleans, La. 1. New York: Institute of Electrical and Electronics Engineers. pp. 8–21 to 8–25. Bibcode:1975ntc.....1....8B.
- Ewing, Gregory C. (March 2010). "Reverse-Engineering a CRC Algorithm". Christchurch: University of Canterbury. Retrieved 26 July 2011.
- ETSI TS 100 909 (PDF). V8.9.0. Sophia Antipolis, France: European Telecommunications Standards Institute. January 2005. Retrieved 21 October 2016.
- Class-1 Generation-2 UHF RFID Protocol (PDF). 1.2.0. EPCglobal. 23 October 2008. p. 35. Retrieved 4 July 2012. (Table 6.12)
- Physical layer standard for cdma2000 spread spectrum systems (PDF). Revision D version 2.0. 3rd Generation Partnership Project 2. October 2005. pp. 2–89–2–92. Retrieved 14 October 2013.
- "11. Error correction strategy". ETSI EN 300 751 (PDF). V1.2.1. Sophia Antipolis, France: European Telecommunications Standards Institute. January 2003. pp. 67–8. Retrieved 26 January 2016.
- Chakravarty, Tridib (December 2001). Performance of Cyclic Redundancy Codes for Embedded Networks (PDF) (Thesis). Philip Koopman, advisor. Pittsburgh: Carnegie Mellon University. pp. 5,18. Retrieved 8 July 2013.
- "5.1.4 CRC-8 encoder (for packetized streams only)". EN 302 307 (PDF). V1.3.1. Sophia Antipolis, France: European Telecommunications Standards Institute. March 2013. p. 17. Retrieved 29 July 2016.
- "184.108.40.206 8-bit 0x2F polynomial CRC Calculation". Specification of CRC Routines (PDF). 4.2.2. Munich: AUTOSAR. 22 July 2015. p. 24. Retrieved 24 July 2016.
- "220.127.116.11 Cyclic Redundancy Check field (CRC-8 / CRC-16)". openSAFETY Safety Profile Specification: EPSG Working Draft Proposal 304. 1.4.0. Berlin: Ethernet POWERLINK Standardisation Group. 13 March 2013. p. 42. Retrieved 22 July 2016.
- "B.7.1.1 HEC generation". Specification of the Bluetooth System. 2. Bluetooth SIG. 2 December 2014. pp. 144–5. Retrieved 20 October 2014.
- Richardson, Andrew (17 March 2005). WCDMA Handbook. Cambridge, UK: Cambridge University Press. p. 223. ISBN 0-521-82815-5.
- FlexRay Protocol Specification. 3.0.1. Flexray Consortium. October 2010. p. 114. (4.2.8 Header CRC (11 bits))
- Perez, A. (1983). "Byte-Wise CRC Calculations". IEEE Micro. 3 (3): 40–50. doi:10.1109/MM.1983.291120.
- Ramabadran, T.V.; Gaitonde, S.S. (1988). "A tutorial on CRC computations". IEEE Micro. 8 (4): 62–75. doi:10.1109/40.7773.
- Ely, S.R.; Wright, D.T. (March 1982). L.F. Radio-Data: specification of BBC experimental transmissions 1982 (PDF). Research Department, Engineering Division, The British Broadcasting Corporation. p. 9. Retrieved 11 October 2013.
- Cyclic Redundancy Check (CRC): PSoC Creator™ Component Datasheet. Cypress Semiconductor. 20 February 2013. p. 4. Retrieved 26 January 2016.
- "Cyclic redundancy check (CRC) in CAN frames". CAN in Automation. Retrieved 26 January 2016.
- "3.2.3 Encoding and error checking". A signalling standard for trunked private land mobile radio systems (MPT 1327) (PDF) (3rd ed.). Ofcom. June 1997. p. 3-3. Retrieved 16 July 2012.
- Rehmann, Albert; Mestre, José D. (February 1995). "Air Ground Data Link VHF Airline Communications and Reporting System (ACARS) Preliminary Test Report" (PDF). Federal Aviation Authority Technical Center: 5. Retrieved 7 July 2012.
- "6.2.5 Error control". ETSI EN 300 175-3 (PDF). V2.5.1. Sophia Antipolis, France: European Telecommunications Standards Institute. August 2013. pp. 99,101. Retrieved 26 January 2016.
- Thaler, Pat (28 August 2003). "16-bit CRC polynomial selection" (PDF). INCITS T10. Retrieved 11 August 2009.
- "8.8.4 Check Octet (FCS)". PROFIBUS Specification Normative Parts (PDF). 1.0. 9. Profibus International. March 1998. p. 906. Retrieved 9 July 2016.
- CAN with Flexible Data-Rate Specification (PDF). 1.0. Robert Bosch GmbH. April 17, 2012. p. 13. (3.2.1 DATA FRAME)
- Boutell, Thomas; Randers-Pehrson, Glenn; et al. (14 July 1998). "PNG (Portable Network Graphics) Specification, Version 1.2". Libpng.org. Retrieved 3 February 2011.
- AIXM Primer (PDF). 4.5. European Organisation for the Safety of Air Navigation. 20 March 2006. Retrieved 4 July 2012.
- Gammel, Berndt M. (31 October 2005). Matpack documentation: Crypto - Codes. Matpack.de. Retrieved 21 April 2013. (Note: MpCRC.html is included with the Matpack compressed software source code, under /html/LibDoc/Crypto)
- Geremia, Patrick (April 1999). "Cyclic redundancy check computation: an implementation using the TMS320C54x" (PDF) (SPRA530). Texas Instruments: 5. Retrieved 4 July 2012.
- Jones, David T. "An Improved 64-bit Cyclic Redundancy Check for Protein Sequences" (PDF). University College London. Retrieved 15 December 2009.
- Mitra, Jubin; Nayak, Tapan (January 2017). "Reconfigurable very high throughput low latency VLSI (FPGA) design architecture of CRC 32". Integration, the VLSI Journal. 56: 1–14. doi:10.1016/j.vlsi.2016.09.005.
- Cyclic Redundancy Checks, MathPages, overview of error-detection of different polynomials
- Williams, Ross (1993). "A Painless Guide to CRC Error Detection Algorithms". The Blue Book. Systems Research Group, Computer Laboratory, University of Cambridge.
- Black, Richard (1994). "Fast CRC32 in Software". The Blue Book. algorithm 4 is used in Linux and Bzip2.
- Kounavis, M.; Berry, F. (2005). "A Systematic Approach to Building High Performance, Software-based, CRC generators" (PDF). Intel., Slicing-by-4 and slicing-by-8 algorithms
- Kowalk, W. (August 2006). "CRC Cyclic Redundancy Check Analysing and Correcting Errors" (PDF). Universität Oldenburg. — Bitfilters
- Warren, Henry S., Jr. "Cyclic Redundancy Check" (PDF). Hacker's Delight (PDF). — theory, practice, hardware, and software with emphasis on CRC-32.
- Reverse-Engineering a CRC Algorithm
- Cook, Greg. "Catalogue of parameterised CRC algorithms". CRC RevEng.
- Koopman, Phil. "Blog: Checksum and CRC Central". — includes links to PDFs giving 16 and 32-bit CRC Hamming distances
- Koopman, Philip; Driscoll, Kevin; Hall, Brendan (March 2015). "Cyclic Redundancy Code and Checksum Algorithms to Ensure Critical Data Integrity" (PDF). Federal Aviation Administration. DOT/FAA/TC-14/49.