TLK: a FOSS Stack for Secure Hardware Tokens
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Bootstomp: on the Security of Bootloaders in Mobile Devices
BootStomp: On the Security of Bootloaders in Mobile Devices Nilo Redini, Aravind Machiry, Dipanjan Das, Yanick Fratantonio, Antonio Bianchi, Eric Gustafson, Yan Shoshitaishvili, Christopher Kruegel, and Giovanni Vigna, UC Santa Barbara https://www.usenix.org/conference/usenixsecurity17/technical-sessions/presentation/redini This paper is included in the Proceedings of the 26th USENIX Security Symposium August 16–18, 2017 • Vancouver, BC, Canada ISBN 978-1-931971-40-9 Open access to the Proceedings of the 26th USENIX Security Symposium is sponsored by USENIX BootStomp: On the Security of Bootloaders in Mobile Devices Nilo Redini, Aravind Machiry, Dipanjan Das, Yanick Fratantonio, Antonio Bianchi, Eric Gustafson, Yan Shoshitaishvili, Christopher Kruegel, and Giovanni Vigna fnredini, machiry, dipanjan, yanick, antoniob, edg, yans, chris, [email protected] University of California, Santa Barbara Abstract by proposing simple mitigation steps that can be im- plemented by manufacturers to safeguard the bootloader Modern mobile bootloaders play an important role in and OS from all of the discovered attacks, using already- both the function and the security of the device. They deployed hardware features. help ensure the Chain of Trust (CoT), where each stage of the boot process verifies the integrity and origin of 1 Introduction the following stage before executing it. This process, in theory, should be immune even to attackers gaining With the critical importance of the integrity of today’s full control over the operating system, and should pre- mobile and embedded devices, vendors have imple- vent persistent compromise of a device’s CoT. However, mented a string of inter-dependent mechanisms aimed at not only do these bootloaders necessarily need to take removing the possibility of persistent compromise from untrusted input from an attacker in control of the OS in the device. -
Multiprocessing in Mobile Platforms: the Marketing and the Reality
Multiprocessing in Mobile Platforms: the Marketing and the Reality Marco Cornero, Andreas Anyuru ST-Ericsson Introduction During the last few years the mobile platforms industry has aggressively introduced multiprocessing in response to the ever increasing performance demanded by the market. Given the highly competitive nature of the mobile industry, multiprocessing has been adopted as a marketing tool. This highly visible, differentiating feature is used to pass the oversimplified message that more processors mean better platforms and performance. The reality is much more complex, because several interdependent factors are at play in determining the efficiency of multiprocessing platforms (such as the effective impact on software performance, chip frequency, area and power consumption) with the number of processors impacting only partially the overall balance, and with contrasting effects linked to the underlying silicon technologies. In this article we illustrate and compare the main technological options available in multiprocessing for mobile platforms, highlighting the synergies between multiprocessing and the disruptive FD-SOI silicon technology used in the upcoming ST-Ericsson products. We will show that compared to personal computers (PCs), the performance of single-processors in mobile platforms is still growing and how, from a software performance perspective, it is more profitable today to focus on faster dual-core rather than slower quad-core processors. We will also demonstrate how FD-SOI benefits dual-core processors even more by providing higher frequency for the same power consumption, together with a wider range of energy efficient operating modes. All of this results in a simpler, cheaper and more effective solution than competing homogeneous and heterogeneous quad-processors. -
FAN53525 3.0A, 2.4Mhz, Digitally Programmable Tinybuck® Regulator
FAN53525 — 3.0 A, 2.4 MHz, June 2014 FAN53525 3.0A, 2.4MHz, Digitally Programmable TinyBuck® Regulator Digitally Programmable TinyBuck Digitally Features Description . Fixed-Frequency Operation: 2.4 MHz The FAN53525 is a step-down switching voltage regulator that delivers a digitally programmable output from an input . Best-in-Class Load Transient voltage supply of 2.5 V to 5.5 V. The output voltage is 2 . Continuous Output Current Capability: 3.0 A programmed through an I C interface capable of operating up to 3.4 MHz. 2.5 V to 5.5 V Input Voltage Range Using a proprietary architecture with synchronous . Digitally Programmable Output Voltage: rectification, the FAN53525 is capable of delivering 3.0 A - 0.600 V to 1.39375 V in 6.25 mV Steps continuous at over 80% efficiency, maintaining that efficiency at load currents as low as 10 mA. The regulator operates at Programmable Slew Rate for Voltage Transitions . a nominal fixed frequency of 2.4 MHz, which reduces the . I2C-Compatible Interface Up to 3.4 Mbps value of the external components to 330 nH for the output inductor and as low as 20 µF for the output capacitor. PFM Mode for High Efficiency in Light Load . Additional output capacitance can be added to improve . Quiescent Current in PFM Mode: 50 µA (Typical) regulation during load transients without affecting stability, allowing inductance up to 1.2 µH to be used. Input Under-Voltage Lockout (UVLO) ® At moderate and light loads, Pulse Frequency Modulation Regulator Thermal Shutdown and Overload Protection . (PFM) is used to operate in Power-Save Mode with a typical . -
Embedded Computer Solutions for Advanced Automation Control «
» Embedded Computer Solutions for Advanced Automation Control « » Innovative Scalable Hardware » Qualifi ed for Industrial Software » Open Industrial Communication The pulse of innovation » We enable Automation! « Open Industrial Automation Platforms Kontron, one of the leaders of embedded computing technol- ogy has established dedicated global business units to provide application-ready OEM platforms for specifi c markets, includ- ing Industrial Automation. With our global corporate headquarters located in Germany, Visualization & Control Data Storage Internet-of-Things and regional headquarters in the United States and Asia-Pa- PanelPC Industrial Server cifi c, Kontron has established a strong presence worldwide. More than 1000 highly qualifi ed engineers in R&D, technical Industrie 4.0 support, and project management work with our experienced sales teams and sales partners to devise a solution that meets M2M SYMKLOUD your individual application’s demands. When it comes to embedded computing, you can focus on your core capabilities and rely on Kontron as your global OEM part- ner for a successful long-term business relationship. In addition to COTS standards based products, Kontron also of- fers semi- and full-custom ODM services for a full product port- folio that ranges from Computer-on-Modules and SBCs, up to embedded integrated systems and application ready platforms. Open for new technologies Kontron provides an exceptional range of hardware for any kind of control solution. Open for individual application Kontron systems are available either as readily integrated control solutions, or as open platforms for customers who build their own control applications with their own look and feel. Open for real-time Kontron’s Industrial Automation platforms are open for Real- Industrial Ethernet Time operating systems like VxWorks and Linux with real time extension. -
An Emerging Architecture in Smart Phones
International Journal of Electronic Engineering and Computer Science Vol. 3, No. 2, 2018, pp. 29-38 http://www.aiscience.org/journal/ijeecs ARM Processor Architecture: An Emerging Architecture in Smart Phones Naseer Ahmad, Muhammad Waqas Boota * Department of Computer Science, Virtual University of Pakistan, Lahore, Pakistan Abstract ARM is a 32-bit RISC processor architecture. It is develop and licenses by British company ARM holdings. ARM holding does not manufacture and sell the CPU devices. ARM holding only licenses the processor architecture to interested parties. There are two main types of licences implementation licenses and architecture licenses. ARM processors have a unique combination of feature such as ARM core is very simple as compare to general purpose processors. ARM chip has several peripheral controller, a digital signal processor and ARM core. ARM processor consumes less power but provide the high performance. Now a day, ARM Cortex series is very popular in Smartphone devices. We will also see the important characteristics of cortex series. We discuss the ARM processor and system on a chip (SOC) which includes the Qualcomm, Snapdragon, nVidia Tegra, and Apple system on chips. In this paper, we discuss the features of ARM processor and Intel atom processor and see which processor is best. Finally, we will discuss the future of ARM processor in Smartphone devices. Keywords RISC, ISA, ARM Core, System on a Chip (SoC) Received: May 6, 2018 / Accepted: June 15, 2018 / Published online: July 26, 2018 @ 2018 The Authors. Published by American Institute of Science. This Open Access article is under the CC BY license. -
Sitara™ Am57x Processor with Dual ARM® Cortex®-A15 Cores
Sitara™ AM57x processor with dual ARM® Cortex®-A15 cores In today’s industrial automation market, (PLCs) and industrial computers consumers are seeing an evolution to human machine interface (HMI), that requires new technology featuring industrial peripherals and factory amplified performance and capabilities. communication, automation systems The factory automation floor is rapidly require cuttingedge technologies to advancing to become more user meet stringent customer requirements friendly with the incorporation of ele for high reliability in missioncritical ments like user interfaces that are environments. increasingly similar to those we use in our everyday lives and video compe Texas Instruments Incorporated (TI) has tencies that grant the ability to view a strategic commitment to the factory machines running on the opposite side automation industry, ranging from an of factories. This shift necessitates extensive, reliable solution portfolio to solutions very complex, expensive new processors that afford industrial a long product life supply as well as a and resistant to evolution even though system developers the capacity to suc strong localbased support. Industrial industry standards are changing. cessfully address these everevolving automation applications have been challenges. With applications ranging implemented using a variety of external Meeting the need for high from programmable logic controllers components making yesterday’s performance AM57x block diagram In industrial HMI and PLC systems, there is an increasing trend towards achieving x86level performance in fanless enclosures and smaller form factors. At the same time, communica tions requirements are ever increasing for these systems, as is the need for intuitive user interface and highperfor mance graphics in HMI systems. -
TEE Internal Core API Specification V1.1.2.50
GlobalPlatform Technology TEE Internal Core API Specification Version 1.1.2.50 (Target v1.2) Public Review June 2018 Document Reference: GPD_SPE_010 Copyright 2011-2018 GlobalPlatform, Inc. All Rights Reserved. Recipients of this document are invited to submit, with their comments, notification of any relevant patents or other intellectual property rights (collectively, “IPR”) of which they may be aware which might be necessarily infringed by the implementation of the specification or other work product set forth in this document, and to provide supporting documentation. The technology provided or described herein is subject to updates, revisions, and extensions by GlobalPlatform. This documentation is currently in draft form and is being reviewed and enhanced by the Committees and Working Groups of GlobalPlatform. Use of this information is governed by the GlobalPlatform license agreement and any use inconsistent with that agreement is strictly prohibited. TEE Internal Core API Specification – Public Review v1.1.2.50 (Target v1.2) THIS SPECIFICATION OR OTHER WORK PRODUCT IS BEING OFFERED WITHOUT ANY WARRANTY WHATSOEVER, AND IN PARTICULAR, ANY WARRANTY OF NON-INFRINGEMENT IS EXPRESSLY DISCLAIMED. ANY IMPLEMENTATION OF THIS SPECIFICATION OR OTHER WORK PRODUCT SHALL BE MADE ENTIRELY AT THE IMPLEMENTER’S OWN RISK, AND NEITHER THE COMPANY, NOR ANY OF ITS MEMBERS OR SUBMITTERS, SHALL HAVE ANY LIABILITY WHATSOEVER TO ANY IMPLEMENTER OR THIRD PARTY FOR ANY DAMAGES OF ANY NATURE WHATSOEVER DIRECTLY OR INDIRECTLY ARISING FROM THE IMPLEMENTATION OF THIS SPECIFICATION OR OTHER WORK PRODUCT. Copyright 2011-2018 GlobalPlatform, Inc. All Rights Reserved. The technology provided or described herein is subject to updates, revisions, and extensions by GlobalPlatform. -
OMAP 3 Family of Multimedia Applications
OMAP™ 3 family of multimedia applications processors Revolutionizing entertainment and productivity Key features in wireless handheld commumications • Combines mobile entertainment and high-performance productivity applications. Product Bulletin • Integrates the advanced Superscalar ARM Cortex-A8 RISC core, enabling up to The OMAP™ 3 family of multimedia applications processors from Texas Instruments (TI) 3x gain in performance versus ARM11. introduces a new level of performance that enables laptop-like productivity and advanced • Designed in 45-nm (OMAP36x platform) entertainment in multimedia-enabled handsets. OMAP 3 devices support all levels of and 65-nm (OMAP34x platform) CMOS handsets, from the entry-level multimedia-enabled handsets to high-end Mobile Internet process technologies for less power Devices (MIDs). consumption and increased device performance. Entry-level Mid-level High-end • Includes integrated IVA hardware multimedia-enabled multimedia-enabled multimedia-enabled accelerators to enable multi-standard encode handsets handsets handsets decode up to HD resolution. OMAP3410 OMAP3420 OMAP3430/3440 • Available integrated image signal OMAP3610 OMAP3620 OMAP3630/3640 processor (ISP) enables faster, higher quality image capture, lower system cost TI’s OMAP 3 family of applications processors These devices can operate at a higher and lower power consumption. • Provides seamless connectivity to hard integrate the ARM Cortex-A8 superscalar frequency than previous-generation OMAP diskdrive (HDD) devices for mass storage. microprocessor -
Nomadik Application Processor Andrea Gallo Giancarlo Asnaghi ST Is #1 World-Wide Leader in Digital TV and Consumer Audio
Nomadik Application Processor Andrea Gallo Giancarlo Asnaghi ST is #1 world-wide leader in Digital TV and Consumer Audio MP3 Portable Digital Satellite Radio Set Top Box Player Digital Car Radio DVD Player MMDSP+ inside more than 200 million produced chips January 14, 2009 ST leader in mobile phone chips January 14, 2009 Nomadik Nomadik is based on this heritage providing: – Unrivalled multimedia performances – Very low power consumption – Scalable performances January 14, 2009 BestBest ApplicationApplication ProcessorProcessor 20042004 9 Lowest power consumption 9 Scalable performance 9 Video/Audio quality 9 Cost-effective Nominees: Intel XScale PXA260, NeoMagic MiMagic 6, Nvidia MQ-9000, STMicroelectronics Nomadik STn8800, Texas Instruments OMAP 1611 January 14, 2009 Nomadik Nomadik is a family of Application Processors – Distributed processing architecture ARM9 + multiple Smart Accelerators – Support of a wide range of OS and applications – Seamless integration in the OS through standard API drivers and MM framework January 14, 2009 roadmap ... January 14, 2009 Some Nomadik products on the market... January 14, 2009 STn8815 block diagram January 14, 2009 Nomadik : a true real time multiprocessor platform ARM926 SDRAM SRAM General (L1 + L2) Purpose •Unlimited Space (Level 2 •Limited Bandwidth Cache System for Video) DMA Master OS Memory Controller Peripherals multi-layer AHB bus RTOS RTOS Multi-thread (Scheduler FSM) NAND Flash MMDSP+ Video •Unlimited Space MMDSP+ Audio 66 MHz, 16-bit •“No” Bandwidth 133 MHz, 24-bit •Mass storage -
Domain Tips and Tricks Lab
Installing a Domain Service for Windows: Domain Tips and Tricks Lab Novell Training Services www.novell.com OES10 ATT LIVE 2012 LAS VEGAS Novell, Inc. Copyright 2012-ATT LIVE-1-HARDCOPY PERMITTED. NO OTHER PRINTING, COPYING, OR DISTRIBUTION ALLOWED. Legal Notices Novell, Inc., makes no representations or warranties with respect to the contents or use of this documentation, and specifically disclaims any express or implied warranties of merchantability or fitness for any particular purpose. Further, Novell, Inc., reserves the right to revise this publication and to make changes to its content, at any time, without obligation to notify any person or entity of such revisions or changes. Further, Novell, Inc., makes no representations or warranties with respect to any software, and specifically disclaims any express or implied warranties of merchantability or fitness for any particular purpose. Further, Novell, Inc., reserves the right to make changes to any and all parts of Novell software, at any time, without any obligation to notify any person or entity of such changes. Any products or technical information provided under this Agreement may be subject to U.S. export controls and the trade laws of other countries. You agree to comply with all export control regulations and to obtain any required licenses or classification to export, re-export or import deliverables. You agree not to export or re-export to entities on the current U.S. export exclusion lists or to any embargoed or terrorist countries as specified in the U.S. export laws. You agree to not use deliverables for prohibited nuclear, missile, or chemical biological weaponry end uses. -
Low-Power Ultra-Small Edge AI Accelerators for Image Recog- Nition with Convolution Neural Networks: Analysis and Future Directions
Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 16 July 2021 doi:10.20944/preprints202107.0375.v1 Review Low-power Ultra-small Edge AI Accelerators for Image Recog- nition with Convolution Neural Networks: Analysis and Future Directions Weison Lin 1, *, Adewale Adetomi 1 and Tughrul Arslan 1 1 Institute for Integrated Micro and Nano Systems, University of Edinburgh, Edinburgh EH9 3FF, UK; [email protected]; [email protected] * Correspondence: [email protected] Abstract: Edge AI accelerators have been emerging as a solution for near customers’ applications in areas such as unmanned aerial vehicles (UAVs), image recognition sensors, wearable devices, ro- botics, and remote sensing satellites. These applications not only require meeting performance tar- gets but also meeting strict reliability and resilience constraints due to operations in harsh and hos- tile environments. Numerous research articles have been proposed, but not all of these include full specifications. Most of these tend to compare their architecture with other existing CPUs, GPUs, or other reference research. This implies that the performance results of the articles are not compre- hensive. Thus, this work lists the three key features in the specifications such as computation ability, power consumption, and the area size of prior art edge AI accelerators and the CGRA accelerators during the past few years to define and evaluate the low power ultra-small edge AI accelerators. We introduce the actual evaluation results showing the trend in edge AI accelerator design about key performance metrics to guide designers on the actual performance of existing edge AI acceler- ators’ capability and provide future design directions and trends for other applications with chal- lenging constraints. -
Show Command Output Redirection
show Command Output Redirection The show Command Output Redirection feature provides the capability to redirect output from Cisco IOS command-line interface (CLI) show commands and more commands to a file. • Finding Feature Information, page 1 • Information About show Command Output Redirection, page 1 • How to Use the show Command Enhancement, page 2 • Additional References, page 2 • Feature Information for show Command Output Redirection, page 3 Finding Feature Information Your software release may not support all the features documented in this module. For the latest caveats and feature information, see Bug Search Tool and the release notes for your platform and software release. To find information about the features documented in this module, and to see a list of the releases in which each feature is supported, see the feature information table at the end of this module. Use Cisco Feature Navigator to find information about platform support and Cisco software image support. To access Cisco Feature Navigator, go to www.cisco.com/go/cfn. An account on Cisco.com is not required. Information About show Command Output Redirection This feature enhances the show commands in the Cisco IOS CLI to allow large amounts of data output to be written directly to a file for later reference. This file can be saved on local or remote storage devices such as Flash, a SAN Disk, or an external memory device. For each show command issued, a new file can be created, or the output can be appended to an existing file. Command output can optionally be displayed on-screen while being redirected to a file by using the tee keyword.