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How It Works


Data encryption is something often shrouded in mystery and obscurity. To some degree that is because most people have only been exposed to data encryption in movies and books (where it is intended to be mysterious and obscure). Largely it is because very few people really understand data encryption.

As it relates to communications, data encryption/decryption is essentially taking a set of information, scrambling it in a way known only to the sending and receiving party and then un-scrambling the information. In its simplest form, bytes of “plain text” data are exclusive-OR’d with a sequence of “cipher” data bytes to produce encrypted data. The receiving party takes this encrypted data and exclusive-OR’s it with the same sequence of “cipher” data bytes to decrypt the data. The table below shows several examples of this.

Encryption Decryption
Input DataCipherEncrypted Data Encrypted DataCipherOutput Data
0x470x550x12 0x120x550x47
0x310xBC0x8D 0x8D0xBC0x31
0xA90x630xCA 0xCA0x630xA9

As simple as it sounds, many very sophisticated modern encryption algorithms are built on this principle. The beauty of the exclusive-OR in this context is multifaceted:
  • Unlike other logical operations and mathematical formulae of reasonable complexity, with the exclusive-OR the original data can easily be recovered. It simply takes doing an exclusive-OR on the result of the first exclusive-OR with either of the original values.
  • An exclusive-OR can be repeatedly applied to the result of previous exclusive-ORs and the original value can still be recovered.
  • An exclusive-OR is a quick operation, taking a single clock cycle on most modern micros. A value can be multiplied by a series of numbers and division by the same numbers in reverse order will produce the original value but on most small micros, multiplication and division are performed in software loops and each iteration can take dozens to hundreds of clock cycles.
Most algorithms expand on this basic principle in one of two ways: (1) multiple rounds of exclusive-OR operations using fixed sets of random numbers as the ciphers or (2) a Pseudo-Random Number Generator (PRNG) is used to produce the cipher data (the PRNG will always produce the same sequence of numbers for a given seed, or starting value). The first approach is easy to implement in software but execution times can be slow and the random number tables can require large amounts of memory. The second approach usually operates quickly but it can be very difficult to develop a PRNG that doesn’t produce repeating sequences of numbers over some number of cycles.

Stream encryption algorithms like the LSET algorithms generally use a PRNG to produce the cipher data. The “secret sauce” for any stream encryption algorithm is in how the PRGN operates and how the seed values are generated. An attacker must learn both of these things in order to break an algorithm. Just learning one without the other is of no benefit.

To provide effective security in all cases, both the string of ciphers and the seed values must have a high degree of randomness, a low level of repetition and a low level of predictability.To provide effective security for the short message lengths used in typical M2M and IoT applications the primary concern is a high degree of randomness (with these short messages there is little opportunity for an attacker to uncover any repetition or predictability). To be of practical use with the small microcontrollers used in most M2M and IoT applications, the software to implement the encryption algorithm must execute quickly and not require a significant amount of RAM or program memory space. The LSET algorithms were designed for M2M and IoT applications with these needs in mind.



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