Inception System

[Bridget Peral]

Easilypublish to multiple platforms from the same user interface. Engage your viewers with interactive polls and ability to search social media in real time. Build playlists of comments, photos and graphics that feed directly into on-air graphics.

For journalists and content creators on the go, the Inception Mobile app offers increased flexibility and a tailored user experience designed specifically for handheld devices, with secure remote access to stories, messaging, the rundown and assignments to keep you and your work connected anywhere.

Inception allows your team to create multi-platform content based on their specific user permissions with optional approval workflows and the ability to schedule publishing. Take a traditional broadcast story and reformat it for social media or the web in just a few clicks. Or start by breaking the story on the web and then use that information to start writing the broadcast script. Multiple formats of the story are linked together for easy reference and editing.

Easily browse content on other connected Inception systems and copy it into your local system using simple drag-and-drop. Horizon is installed at one of the connected facilities running Inception and manages communication and user permissions between each system. Users are able to browse and share broadcast, social and Web stories in addition to rundowns, assignments and contacts. Inception supports MOS redirection, which means for certain devices, graphics and video can be reused when a story is copied locally.

Connected embedded systems are becoming widely deployed, and their security is a serious concern. Current techniques for security testing of embedded software rely either on source code or on binaries. Detecting vulnerabilities by testing binary code is harder, because source code semantics are lost. Unfortunately, in embedded systems, high-level source code (C/C++) is often mixed with hand-written assembly, which cannot be directly handled by current source-based tools.

In this paper we introduce Inception, a framework to perform security testing of complete real-world embedded firmware. Inception introduces novel techniques for symbolic execution in embedded systems. In particular, Inception Translator generates and merges LLVM bitcode from high-level source code, hand-written assembly, binary libraries, and part of the processor hardware behavior. This design reduces differences with real execution as well as the manual effort. The source code semantics are preserved, improving the effectiveness of security checks. Inception Symbolic Virtual Machine, based on KLEE, performs symbolic execution, using several strategies to handle different levels of memory abstractions, interaction with peripherals, and interrupts. Finally, the Inception Debugger is a high-performance JTAG debugger which performs redirection of memory accesses to the real hardware.

We first validate our implementation using 53000 tests comparing Inception's execution to concrete execution on an Arm Cortex-M3 chip. We then show Inception's advantages on a benchmark made of 1624 synthetic vulnerable programs, four real-world open source and industrial applications, and 19 demos. We discovered eight crashes and two previously unknown vulnerabilities, demonstrating the effectiveness of Inception as a tool to assist embedded device firmware testing.

USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are posted after the event are also free and open to everyone. Support USENIX and our commitment to Open Access.

That would be handy. I have made a couple of changes to the code and put in a PR, I can say I have been running this for a week or more now as a docker instance. If I had more of an understanding of HA I would try give it a go, but I do not.

Here is the excerpt of YAML from my ui-lovelace.yaml file, for the security tab. I have deliberately disabled arming and disarming the system from Home Assistant, as I use SkyCommand for additional security. This is a paid service that operates over Telstra and Optus secure 4G networks.

Inception is an integrated access control and security alarm system with a design edge that sets it apart. The web-based software is built directly into the main system controller, making the system easy to access using a web browser on a computer, tablet or smartphone. The excellent user interface means that Inception is ideal for those who want to manage their own access control and security alarm system.

For the end user, the Inception system is simple controller using your existing smartphone, tablet or computer. The Inception Security System is connected to your local network, meaning you can use almost any web-enabled device to access your system, including hard-wired desktop or Wi-Fi connected devices.

If you are away from home, connection to your Inception system is no different. Inception takes advantage of the Inner Range SkyTunnel system which provides a secured connection back to your system. Providing your smartphone or tablet is connected to the internet, SkyTunnel will connect the system to you, giving you control and peace of mind wherever you are.

The Inception system has no additional or on-going software costs, uses truly universal inputs and outputs, and can often be deployed as a stand-alone controller (reducing the need for additional hardware) which makes it a budget friendly solution.

The potential causes for GCMs failing to reproduce inception are plentiful, ranging from numerics (Vettoretti and Peltier 2003) on the GCMs side to neglected feedbacks of land, atmosphere, or ocean processes (e.g., Gallimore and Kutzbach 1996; Hall et al. 2005; JPML; respectively) on the theory side. It is encouraging, though, that for some GCMs it takes only small modifications to produce an increase in perennial snow cover (e.g., Dong and Valdes 1995). Nevertheless, the goal for the GCM community has to be the recreation of increased perennial snow cover with a GCM that has been tuned to the present-day climate, and is subjected to changes in orbital forcing only.

The numerical experiments are performed using the latest version of the National Center for Atmospheric Research (NCAR) CCSM4, which consists of the fully coupled atmosphere, ocean, land, and sea ice models. A description of this version can be found in Gent et al. (2011). The ocean component has a horizontal resolution that is constant at 1.125 in longitude and varies from 0.27 at the equator to approximately 0.7 in the high latitudes. In the vertical there are 60 depth levels; the uppermost layer has a thickness of 10 m and the deepest layer has a thickness of 250 m. The atmospheric component uses a horizontal resolution of 0.9 1.25 with 26 levels in the vertical. The sea ice model shares the same horizontal grid as the ocean model and the land model is on the same horizontal grid as the atmospheric model. The details of the different model components are described in the papers of this special issue; for the present purpose, it is sufficient to know that CCSM4 is a state-of-the-art climate model that has improved in many aspects from its predecessor CCSM3 (Gent et al. 2011). For the present context, the most important improvement is the increased atmospheric resolution, because it allows for a more accurate representation of altitude and therefore land snow cover (see the next section).

The pattern and amplitude of wind stress and precipitation response is similar to the one in the coarse-resolution study of JPML, involving minor changes with the exception of a stronger Indian summer monsoon and stronger westerlies over the North Pacific (not shown). In particular the zonally averaged wind stress over the Southern Ocean is identical to within 0.5%, and its maximum is at the same latitude. As illustrated in Fig. 1 the main differences between OP115 and CONT are in the Arctic and will be analyzed here.

Ultimately, of course, a successful simulation of the inception does not necessarily need cooling, but an increased snow and ice cover to build ice sheets. In principle the increased snow accumulation seen in Fig. 1c could be due to increased snowfall or reduced snowmelt. The global moisture budgets reveal that outside the tropics OP115 has a larger poleward moisture transport than CONT, but this is largely confined to the midlatitudes and does not reach past the Arctic Circle (Fig. 4b). Thus, in contrast to the results of Vettoretti and Peltier (2003) the increase in snowfall is negligible compared to the reduction in snowmelt (not shown). The global net difference in melting and snowfall between OP115 and CONT leads to an implied snow accumulation that is equivalent to a sea level drop of 20 m in 10 000 years, some of it being due to the Baffin Island cold bias. This is less than the 50-m estimate based on sea level reconstructions between present day and 115 kya (e.g., Waelbroeck et al. 2002; Rohling et al. 2009; Siddall et al. 2010), but nonetheless it suggests that the model response is of the right magnitude.

The meridional heat transport of the AMOC is a major source of heat for the northern North Atlantic Ocean (e.g., Ganachaud and Wunsch 2000), but it is also believed to be susceptible to small perturbations (e.g., Marotzke 1990). This raises the possibility that the AMOC amplifies the orbital forcing, or even that this amplification is necessary for the Northern Hemisphere glaciations and terminations (e.g., Broecker 1998). In fact, JPML demonstrates that at least in one GCM changes in orbital forcing can lead to a weakening of the MOC and a subsequent large Northern Hemisphere cooling. Here, we revisit the connection between orbital forcing and AMOC strength with the CCSM4, which features improved physics and higher spatial resolution compared to JPML.

Thus, there are two negative feedbacks by which the effect of orbital forcing on the AMOC is minimized. Both work through the subpolar gyre. First, increased sea ice cover reduces its strength; this brings in spicier subtropical water, which is more susceptible to convection. Second, the reduced gyre strength leads to a reduced pressure difference between the Arctic and the Labrador Sea, thereby reducing the import of freshwater through the Nares Strait and Northwest Passage. The correlation between a weaker subpolar gyre and an increased influx of subtropical salty water has actually been observed over the last 20 years (Htun et al. 2005; Hakkinen and Rhines 2009), albeit without attributing an ultimate cause for these changes. The inception study by Born et al. (2010), also finds that an increased sea ice export through the Denmark Strait at 115 kya leads to a weakening of the subpolar gyre, increased influx of subtropical water, and subsequent stabilization of the subpolar gyre. The spatial resolution of their study OGCM is finer than the one of JPML, but coarser than the present resolution, and their study did not attribute any importance to the freshwater transport through Baffin Bay.

3a8082e126