On VS 2022, the fix for me was weird, just had to open the "Nuget Package Manager", click the settings (gear icon), then uncheck all the package sources, click OK, then check them again and that's it.

4. You may copy and distribute the Library (or a portion or

derivative of it, under Section 2) in object code or executable form

under the terms of Sections 1 and 2 above provided that you accompany

it with the complete corresponding machine-readable source code, which

must be distributed under the terms of Sections 1 and 2 above on a

medium customarily used for software interchange.


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a) Accompany the work with the complete corresponding

 machine-readable source code for the Library including whatever

 changes were used in the work (which must be distributed under

 Sections 1 and 2 above); and, if the work is an executable linked

 with the Library, with the complete machine-readable "work that

 uses the Library", as object code and/or source code, so that the

 user can modify the Library and then relink to produce a modified

 executable containing the modified Library. (It is understood

 that the user who changes the contents of definitions files in the

 Library will not necessarily be able to recompile the application

 to use the modified definitions.)

Now that a printer has been selected, the print job tarakan is spawned. The print job tarakan is spawned directly to the printer but it does not render locally. It saves network bandwidth by rendering directly on the printer and carrying the source with it. When it has successfully printed, it sends back a notification tarakan to home.

In this presentation Tom, Josh and Kevin will discuss the new security issues with web services and release an updated web service testing methodology that will be integrated into the OWASP testing guide, new Metasploit modules and exploits for attacking web services and a open source vulnerable web service for the Samurai-WTF (Web Testing Framework) that can be used by penetration testers to test web service attack tools and techniques.

Android has become a top player in the smartphone explosion. Its success is due in no small part to its openness and flexibility, enabling an entire ecosystem of unique devices built on an open-source core. This proliferation has not been without the challenge of fragmentation. In this talk, we survey what it takes to push a security update in the Android ecosystem, study prominent vulnerabilities that have affected the platform, and examine the patch history and current state of prominent devices to answer the question: What is the half-life of a vulnerability on Android?

It's quiet, cheap, and able to be built in a garage using hand tools, but it packs a wallop like it was built in the Skunk Works. Unmanned Aerial Vehicles used to be the exclusive realm of governments and universities, requiring unique skills and a fat wallet to make them work effectively. We will show you how today anyone can build their own autonomous UAV that delivers a payload to any point on earth from a remote location using free and open source technology at a fraction of the cost of the bolt that holds the nose wheel on a Predator. Morals and consequences not included.

The National Security Agency's Center for Assured Software (CAS) researches tools and techniques that can be used throughout the development lifecycle to evaluate and improve the assurance of software and to avoid and eliminate exploitable vulnerabilities. Over the past two years, the CAS has extensively and scientifically studied commercial and open source static analysis tools for C, C++, and Java. The purpose of this research is to determine the strengths and limitations of modern static analysis tools with respect to the flaws they identify, the flaws they miss, and the false positives they report.

During this workshop we will perform a hands-on investigation of a live CD memory capture. This will include using newly developed Volatility functionality that allows for complete recovery of the in-memory filesystem. After we have recovered the filesystem, we will then gather traditional in-memory information such as process listings, memory maps, open files, and network connections. We will finish the investigation by correlating recovered data to solve the case and formulate our final results. Throughout the workshop there will be illustrations of the in-memory data structures being recovered as well as numerous source code examples, both from the Linux kernel as well as the Volatility scripts being used.

Johnny will present his results of his latest R&D efforts: PPI-Geo location. PPI-Geolocation is a new technology that allows applications to encode position, orientation, signal strength, and antenna characteristics into a industry-standard pcap file.Johnny will walk us through the concepts behind the standard, as well as a tour of the entire stack of open source software support. To date, this includes Kismet, Wireshark, scapy, and the associated SDK.

Good programmers write code, great programmers reuse" is one of the most well known truisms of software development. But what does that mean for security? For over 30 years software engineering has focused on writing the perfect code and reusing it as often as they can, believing if they can just get the bugs out, the system will be secure. In our talk we will demonstrate how the most prominent doctrine of programming is deadly for security. Analysis of software vulnerability data, including a full decade of data for several versions of the most popular operating systems, server applications and user applications (both open and closed source), shows that properties extrinsic to the software play a much greater role in the rate of vulnerability discovery than do intrinsic properties such as the actual software quality. We show that (at least in the first phase of a product's existence), software vulnerabilities have different properties from software defects.

The Cornell University and Washington State University GridControl research yielded a platform that we refer to as the the GridCloud system. GridCloud functions much like an operating system for hosting smart grid applications on cloud systems. Our initial focus has been on Amazon's AWS (both the public AWS and Amazon's government version), which we augment with additional tools to support 24x7 mission-critical application availability. GridCloud is composed of a set of standalone components that include the CloudMake management tool, the GridCloud Collaboration Tool, the IronStack SDN network controller, and the Freeze-Frame File System. These come together in the GridCloud platform. Our preliminary work has ported a grid simulation system and a real-time linear state estimator onto the platform, which we then evaluated by transmitting simulated data into it much as real PMUs would and then reconstructing the corresponding grid state. We achieved a latency of 100 to 125ms even with injected component failures, scheduling delays and Internet network delays. GridCloud is an open source platform, available under 3-BSD free licensing.

IronStack is an optimal component of GridCloud, aimed at the communication network that connects the PMU and PDC devices to GridCloud's cloud-hosted data center. Some utilities have in-house solutions, and would not need IronStack, but for those faced with creating such a system or desiring to upgrade a balky and idiosyncratic one, IronStack could be a good option. Developer Z. Teo has focused on creating an open source preliminary version for GridCloud, but is planning to spin off a commercialized version soon, with 24x7 support and deployment help.

Vsync isn't a magic wand: it takes the form of an open-source software library, coded in the Microsoft C# language but useful from any program that can run on a Microsoft platform, including C# but also languages such as C++/CLI, IronPython, IronRuby, standard C, F#, J#, etc (.NET supports more than 40 languages and in principles, any could leverage Vsync). Through the Mono cross-compiler, Vsync can also be used on Linux platforms. In our development work on GridCloud, we made heavy use of Vsync, which endows CloudMake with its fault-tolerance and consistency guarantees, helps FFFS carry out consistent data replication at the blinding speeds feasible with modern RDMA networking hardware, and is integrated into the collaboration tool as its preferred data transport solution when a virtual iPad is being shared and receives data updates in realtime as the network state evolves or other data is captured and rendered onto the shared display.

The Washington State University hierarchical linear state estimator collects incoming PMU data in the form of PDC flows, fits the data against the network model, and then outputs a continuously updated visualization of power system state. A further option is to record the evolving state estimates as a series of files for later offline analysis. Internally, the Linear State Estimator depends on GridStat as the communications bus combining its components, OpenPDC as a registry of PDC and PMU definitions and status data, and the LSE itself, implemented by Anjan Bose's group at WSU. A widely cited research platform, the WSU LSE solution can be obtained in open source from from the developers, but has also been commercialized by Alstom and is available with comprehensive documentation and support from that company.

Pulmonary function tests (PFT) are a group of tests (spirometry, lung volumes and diffusion capacity for carbon monoxide) that assess how well a patient moves air in and out of the lungs and how easily inhaled gas moves from the lungs into the blood stream (see Additional file 1: Figure S1 to view an actual pulmonary function test report and Table 1 for a list of discrete data elements captured by PFT instrumentation). A patient undergoing PFT is seated in a chamber such as the SensorMedics Vmax Encore PFT Autobox Pro machine while they repeatedly perform deep inhalations and exhalations (Figure 1). Pulmonary function data is captured using SensorMedics software version IVS-0101-21-1A and stored in a proprietary database used by the SensorMedics software (CareFusion Corporation, San Diego, CA). A nightly script extracts data from the Sensor Medics database to generate a common clinical text report (Additional file 1: Figure S1). The report is sent via HL7 messaging for inclusion in the Cerner Millennium electronic health record. On a nightly basis, the Medical Enterprise Data Warehouse is synchronized with the Cerner Millennium Oracle database. Because text data within Cerner is stored in a proprietary binary format, special processing is required for deserialization. Medical Enterprise Data Warehouse data architects created a plain text data mart consisting of active clinical texts from Cerner Millennium including textual PFT data. To facilitate the aggregation of discrete numeric data from text reports, we developed an open source text extraction SQL Server Integration Services package called Regextractor. We present this package and the results of a validation study that confirms the value and consistency of this approach. be457b7860

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