Image-based kernel fingerprinting

Image-based kernel fingerprinting

The correct identification of operating system kernel versions is the first critical step in deep memory analysiseit enables the precise parsing of the kernel data structures and the correct interpretation of the observed system state. Identifying the exact kernel version is particularly challenging for open source operating systems where kernel upgrades are released frequently, and custom vers...

Kernel Based Image Classi

ISAR Image Improvement Using STFT Kernel Width Optimization Based On Minimum Entropy Criterion

Nowadays, Radar systems have many applications and radar imaging is one of the most important of these applications. Inverse Synthetic Aperture Radar (ISAR) is used to form an image from moving targets. Conventional methods use Fourier transform to retrieve Doppler information. However, because of maneuvering of the target, the Doppler spectrum becomes time-varying and the image is blurred. Joi...

GCS Kernel For SVM-Based Image Recognition

In this paper, we present a new compactly supported kernel for SVM based image recognition. This kernel which we called Geometric Compactly Supported (GCS) can be viewed as a generalization of spherical kernels to higher dimensions. The construction of the GCS kernel is based on a geometric approach using the intersection volume of two n-dimensional balls. The compactness property of the GCS ke...

Kernel-based spectral color image segmentation.

In this work, we propose a new algorithm for spectral color image segmentation based on the use of a kernel matrix. A cost function for spectral kernel clustering is introduced to measure the correlation between clusters. An efficient multiscale method is presented for accelerating spectral color image segmentation. The multiscale strategy uses the lattice geometry of images to construct an ima...