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  2. Stack buffer overflow - Wikipedia

    en.wikipedia.org/wiki/Stack_buffer_overflow

    A stack buffer overflow can be caused deliberately as part of an attack known as stack smashing. If the affected program is running with special privileges, or accepts data from untrusted network hosts (e.g. a webserver ) then the bug is a potential security vulnerability .

  3. Buffer overflow protection - Wikipedia

    en.wikipedia.org/wiki/Buffer_overflow_protection

    Canaries or canary words or stack cookies are known values that are placed between a buffer and control data on the stack to monitor buffer overflows. When the buffer overflows, the first data to be corrupted will usually be the canary, and a failed verification of the canary data will therefore alert of an overflow, which can then be handled, for example, by invalidating the corrupted data.

  4. Buffer overflow - Wikipedia

    en.wikipedia.org/wiki/Buffer_overflow

    Visualization of a software buffer overflow. Data is written into A, but is too large to fit within A, so it overflows into B.. In programming and information security, a buffer overflow or buffer overrun is an anomaly whereby a program writes data to a buffer beyond the buffer's allocated memory, overwriting adjacent memory locations.

  5. Learning with errors - Wikipedia

    en.wikipedia.org/wiki/Learning_with_errors

    In cryptography, learning with errors (LWE) is a mathematical problem that is widely used to create secure encryption algorithms. [1] It is based on the idea of representing secret information as a set of equations with errors. In other words, LWE is a way to hide the value of a secret by introducing noise to it. [2]

  6. Lattice problem - Wikipedia

    en.wikipedia.org/wiki/Lattice_problem

    This is an illustration of the shortest vector problem (basis vectors in blue, shortest vector in red). In the SVP, a basis of a vector space V and a norm N (often L 2) are given for a lattice L and one must find the shortest non-zero vector in V, as measured by N, in L.

  7. Arbitrary-precision arithmetic - Wikipedia

    en.wikipedia.org/wiki/Arbitrary-precision_arithmetic

    With the example in view, a number of details can be discussed. The most important is the choice of the representation of the big number. In this case, only integer values are required for digits, so an array of fixed-width integers is adequate. It is convenient to have successive elements of the array represent higher powers of the base.

  8. I Found a New Method for Scrambling Eggs and It's the Only ...

    www.aol.com/found-method-scrambling-eggs-only...

    My go-to method for years has been (for two of us): five large eggs, one large yolk, salt and pepper, and a splash of cream. I cook the whisked eggs in butter, over the lowest heat possible on the ...

  9. McEliece cryptosystem - Wikipedia

    en.wikipedia.org/wiki/McEliece_cryptosystem

    Decoding a general linear code, however, is known to be NP-hard, [3] however, and all of the above-mentioned methods have exponential running time. In 2008, Bernstein, Lange, and Peters [ 5 ] described a practical attack on the original McEliece cryptosystem, using the information set decoding method by Stern. [ 11 ]