fwknop stands for "Firewall Knock Operator" and is an upcoming piece of software that will be released at the DEFCON 12 conference in July, 2004 in Las Vegas.
fwknop implements network access controls (via iptables) based on a flexible port knocking mini-language, but with a twist it combines port knocking and passive operating system fingerprinting to make it possible to do things like only allow, say, Linux-2.4/2.6 systems to connect to your SSH daemon.
fwknop supports shared, multi-protocol port knock sequences along with both relative and absolute timeouts, and coded port knock sequences encrypted with the Rijndael block cipher.
This document accompanies a sample co-installer that can be used in conjunction with an INF file to install additional device INF files on the target system during a device installation. The instructions herein apply to the Microsoft Windows 2000 and Windows XP and Windows Server 2003 operating systems.
The sample co-installer described in this article interprets CopyINF directives in a [DDInstall] section in an INF file. The sample demonstrates using a co-installer to perform processing after a device has been installed, parsing the INF section that is being used for the installation, and the use of the SetupCopyOEMInf, SetupGetInfInformation, SetupQueryInfOriginalFileInformation and SetupDiGetActualSectionToInstall APIs.
neural network utility is a Neural Networks library for the
C++ Programmer. It is entirely object oriented and focuses
on reducing tedious and confusing problems of programming neural networks.
By this I mean that network layers are easily defined. An
entire multi-layer network can be created in a few lines, and
trained with two functions. Layers can be connected to one another
easily and painlessly.
MPC8260-MCC-HOWTO
Abstract:
This document attempts to give the linux developer community of motorola(R) s
mpc8260 processor a fairly good idea of programming details of Multi
Channel controller.
This document can be distributed under GPL version 2.0 or later, GPL is
available at (http://www.gnu.org/copyleft/gpl.html)
CAN1.c and CAN2.c are a simple example of configuring a CAN network to
transmit and receive data on a CAN network, and how to move information to
and from CAN RAM message objects. Each C8051F040-TB CAN node is configured
to send a message when it s P3.7 button is depressed/released, with a 0x11
to indicate the button is pushed, and 0x00 when released. Each node also has
a message object configured to receive messages. The C8051 tests the
received data and will turn on/off the target board s LED. When one target
is loaded with CAN2.c and the other is loaded with CAN1.c, one target
board s push-button will control the other target board s LED, establishing
a simple control link via the CAN bus and can be observed directly on the
target boards.
This paper studies the problem of tracking a ballistic object in
the reentry phase by processing radar measurements. A suitable
(highly nonlinear) model of target motion is developed and the
theoretical Cramer—Rao lower bounds (CRLB) of estimation
error are derived. The estimation performance (error mean and
This paper studies the problem of tracking a ballistic object in
the reentry phase by processing radar measurements. A suitable
(highly nonlinear) model of target motion is developed and the
theoretical Cramer—Rao lower bounds (CRLB) of estimation
error are derived. The estimation performance (error mean and
This paper studies the problem of tracking a ballistic object in
the reentry phase by processing radar measurements. A suitable
(highly nonlinear) model of target motion is developed and the
theoretical Cramer—Rao lower bounds (CRLB) of estimation
error are derived. The estimation performance (error mean and
