Using Bayesian Classifiers to Detect Fuzzing

 
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Old 11-04-2007
Using Bayesian Classifiers to Detect Fuzzing

Tim Bass
Sun, 04 Nov 2007 10:34:48 +0000
Fuzzing, from a security*perspective, is when an automated*program searches*for IT*vulnerabilities by sending random input to an application.** Fuzzers are*sometimes referred to as fault injector and*are used by hackers to*find buffer overflows and other*application flaws*such as SQL injection, XSS, and format string vulnerabilities.
In the past few years fuzzing is being increasing used by criminals to search for on-line vulnerabilities that can be exploited; and for this reason, fuzzing is a serious threat to ecommerce and other online business applications.
How would an organization detect fuzzing?
Bayesian classifiers are used to detect spam, denial of service attacks, fraud, and other complex data sets; so it makes perfect sense to use Bayesian techniques to detect fuzzing.* However, I have searched the network have not yet found an implementation of a Bayesian classifier specifically*to detect fuzzing in*real-time.*
If anyone knows of a (Java-based) Bayesian classifer that would be a good starting point for the real-time detection of fuzzing, please let me know.* Thanks!



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mlib_VideoColorYUV444seq_to_ABGRint(3MLIB)		    mediaLib Library Functions			mlib_VideoColorYUV444seq_to_ABGRint(3MLIB)

NAME
mlib_VideoColorYUV444seq_to_ABGRint - color convert YUV sequential to ABGR interleaved SYNOPSIS
cc [ flag... ] file... -lmlib [ library... ] #include <mlib.h> void mlib_VideoColorYUV444seq_to_ABGRint(mlib_u32 *ABGR, const mlib_u8 *Y, const mlib_u8 *U, const mlib_u8 *V, const mlib_u8 *A_array, mlib_u8 A_const, mlib_s32 w, mlib_s32 h, mlib_s32 dlb, mlib_s32 slb); DESCRIPTION
The Y, U, V pixel streams are converted into an ABGR pixel stream. All pixel components are 8-bit unsigned integers. All buffers have dimensions w and h. The alpha values for this function work in the following fashion: o If A_array pointer is not NULL, the values are taken from there. It has to have the same dimensions as the Y buffer. o If A_array pointer is NULL, the alpha values for every pixel are set to A_const. The following equation is used: |R| |1.1644 0.0000 1.5966| [|Y| | 16.0000|] |G| = |1.1644 -0.3920 -0.8132| * [|U| - |128.0000|] |B| |1.1644 2.0184 0.0000| [|V| |128.0000|] PARAMETERS
The function takes the following arguments: ABGR Pointer to output buffer. Y Pointer to Y input buffer. U Pointer to U input buffer. V Pointer to V input buffer. A_array Array of alpha values. A_const Constant alpha value. w Image width in pixels. h Image height in lines. dlb Linebytes for output buffer. slb Linebytes for input buffers. RETURN VALUES
None. ATTRIBUTES
See attributes(5) for descriptions of the following attributes: +-----------------------------+-----------------------------+ | ATTRIBUTE TYPE | ATTRIBUTE VALUE | +-----------------------------+-----------------------------+ |Interface Stability |Committed | +-----------------------------+-----------------------------+ |MT-Level |MT-Safe | +-----------------------------+-----------------------------+ SEE ALSO
mlib_VideoColorYUV420seq_to_ARGBint(3MLIB), mlib_VideoColorYUV411seq_to_ARGBint(3MLIB), mlib_VideoColorYUV422seq_to_ARGBint(3MLIB), mlib_VideoColorYUV444seq_to_ARGBint(3MLIB), mlib_VideoColorYUV420seq_to_ABGRint(3MLIB), mlib_VideoColorYUV411seq_to_ABGRint(3MLIB), mlib_VideoColorYUV422seq_to_ABGRint(3MLIB), mlib_VideoColorYUYV422int_to_ARGBint(3MLIB), mlib_VideoColorYUV444int_to_ARGBint(3MLIB), mlib_VideoColorYUYV422int_to_ABGRint(3MLIB), mlib_VideoColorYUV444int_to_ABGRint(3MLIB), mlib_VideoColorUYVY422int_to_ARGBint(3MLIB), mlib_VideoColorUYVY422int_to_ABGRint(3MLIB), mlib_VideoColorUYV444int_to_ARGBint(3MLIB), mlib_VideoColorUYV444int_to_ABGRint(3MLIB), attributes(5) SunOS 5.11 2 Mar 2007 mlib_VideoColorYUV444seq_to_ABGRint(3MLIB)