U-Boot with Chrome OS and Firmware Packaging
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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. -
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. -
Introduction Use Runit with Traditional Init (Sysvinit)
2021/07/26 19:10 (UTC) 1/12 Runit Runit Introduction runit is a UNIX init scheme with service supervision. It is a cross-platform Unix init scheme with service supervision, a replacement for sysvinit, and other init schemes and supervision that are used with the traditional init. runit is compatible with djb's daemontools. In Unix-based computer operating systems, init (short for initialization) is the first process started during booting of the computer system. Init is a daemon process that continues running until the system is shut down. Slackware comes with its own legacy init (/sbin/init) from the sysvinit package, that used to be included in almost all other major Linux distributions. The init daemon (or its replacement) is characterised by Process ID 1 (PID 1). To read on the benefits of runit, see here: http://smarden.org/runit/benefits.html * Unless otherwise stated, all commands in this article are to be run by root. Use runit with traditional init (sysvinit) runit is not provided by Slackware, but a SlackBuild is maintained on https://slackbuilds.org/. It does not have any dependencies. As we do not want yet to replace init with runit, run the slackbuild with CONFIG=no: CONFIG=no ./runit.SlackBuild Then install the resulting package and proceed as follows: mkdir /etc/runit/ /service/ cp -a /usr/doc/runit-*/etc/2 /etc/runit/ /sbin/runsvdir-start & Starting via rc.local For a typical Slackware-stlyle service, you can edit /etc/rc.d/rc.local file if [ -x /sbin/runsvdir-start ]; then /sbin/runsvdir-start & fi and then edit write /etc/rc.d/rc.local_shutdown #!/bin/sh SlackDocs - https://docs.slackware.com/ Last update: 2020/05/06 08:08 (UTC) howtos:slackware_admin:runit https://docs.slackware.com/howtos:slackware_admin:runit RUNIT=x$( /sbin/pidof runsvdir ) if [ "$RUNIT" != x ]; then kill $RUNIT fi Then give rc.local_shutdown executive permission: chmod +x /etc/rc.d/rc.local_shutdown and reboot Starting via inittab (supervised) Remove the entries in /etc/rc.d/rc.local and /etc/rc.d/rc.local_shutdown described above. -
Mac OS X: an Introduction for Support Providers
Mac OS X: An Introduction for Support Providers Course Information Purpose of Course Mac OS X is the next-generation Macintosh operating system, utilizing a highly robust UNIX core with a brand new simplified user experience. It is the first successful attempt to provide a fully-functional graphical user experience in such an implementation without requiring the user to know or understand UNIX. This course is designed to provide a theoretical foundation for support providers seeking to provide user support for Mac OS X. It assumes the student has performed this role for Mac OS 9, and seeks to ground the student in Mac OS X using Mac OS 9 terms and concepts. Author: Robert Dorsett, manager, AppleCare Product Training & Readiness. Module Length: 2 hours Audience: Phone support, Apple Solutions Experts, Service Providers. Prerequisites: Experience supporting Mac OS 9 Course map: Operating Systems 101 Mac OS 9 and Cooperative Multitasking Mac OS X: Pre-emptive Multitasking and Protected Memory. Mac OS X: Symmetric Multiprocessing Components of Mac OS X The Layered Approach Darwin Core Services Graphics Services Application Environments Aqua Useful Mac OS X Jargon Bundles Frameworks Umbrella Frameworks Mac OS X Installation Initialization Options Installation Options Version 1.0 Copyright © 2001 by Apple Computer, Inc. All Rights Reserved. 1 Startup Keys Mac OS X Setup Assistant Mac OS 9 and Classic Standard Directory Names Quick Answers: Where do my __________ go? More Directory Names A Word on Paths Security UNIX and security Multiple user implementation Root Old Stuff in New Terms INITs in Mac OS X Fonts FKEYs Printing from Mac OS X Disk First Aid and Drive Setup Startup Items Mac OS 9 Control Panels and Functionality mapped to Mac OS X New Stuff to Check Out Review Questions Review Answers Further Reading Change history: 3/19/01: Removed comment about UFS volumes not being selectable by Startup Disk. -
IBM Security Maas360 with Watson Consolidated Device Use Cases
IBM Security MaaS360 with Watson A deep dive into how MaaS360 supports any device and any operating system Introduction Apple iOS, macOS, & iPadOS Google Android & Chrome OS Microsoft Windows Ruggedized & IoT Request a demo The basics This is your primer on IBM Security MaaS360 with Watson, IBM’s industry-leading unified endpoint management (UEM) solution. Before we dive in, let’s make clear that, of course, any enrolled device can be locked to the passcode screen, pinged for its last known location, wiped remotely, have a passcode configured, have WiFi networks and VPN profiles distributed, and all of the other basic functions expected from bare bones mobile device management (MDM). But in this era of instant connectivity, an increasingly mobile workforce, and the expansion of non-traditional wearable, ruggedized, and virtualized endpoints, we wanted to make sure you get a little bit more out of the content you download. That said, if you’re still curious what else IBM Security MaaS360 can do once you’ve finished thumbing through here, take it for a spin with a free trial or connect with an IBMer for a demo. IBM Security MaaS360 with Watson 2 Introduction Apple iOS, macOS, & iPadOS Google Android & Chrome OS Microsoft Windows Ruggedized & IoT Request a demo Contents Apple iOS, macOS, & iPadOS Google Android & Chrome OS Microsoft Windows Ruggedized & IoT Apple Business Manager (ABM) Android Enterprise enrollment OOBE, Bulk Enrollment, Windows 10 Autopilot Device compliance & security and Over-the-Air (OTA) enrollment Apple device policy -
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. -
Tegra Linux Driver Package
TEGRA LINUX DRIVER PACKAGE RN_05071-R32 | March 18, 2019 Subject to Change 32.1 Release Notes RN_05071-R32 Table of Contents 1.0 About this Release ................................................................................... 3 1.1 Login Credentials ............................................................................................... 4 2.0 Known Issues .......................................................................................... 5 2.1 General System Usability ...................................................................................... 5 2.2 Boot .............................................................................................................. 6 2.3 Camera ........................................................................................................... 6 2.4 CUDA Samples .................................................................................................. 7 2.5 Multimedia ....................................................................................................... 7 3.0 Top Fixed Issues ...................................................................................... 9 3.1 General System Usability ...................................................................................... 9 3.2 Camera ........................................................................................................... 9 4.0 Documentation Corrections ..................................................................... 10 4.1 Adaptation and Bring-Up Guide ............................................................................ -
Unit V Algorithm for Booting the UNIX System
Unit V Algorithm for booting the UNIX system : As we’ve noted, the boot process begins when the instructions stored in the computer’s permanent, nonvolatile memory (referred to colloquially as the BIOS, ROM,NVRAM, and so on) are executed. This storage location for the initial boot instructions is generically referred to as firmware (in contrast to “software,” but reflecting the fact that the instructions constitute a program[2]). These instructions are executed automatically when the power is turned on or the system is reset, although the exact sequence of events may vary according to the values of stored parameters.[3] The firmware instructions may also begin executing in response to a command entered on the system console (as we’ll see in a bit). However they are initiated, these instructions are used to locate and start up the system’s boot program , which in turn starts the Unix operating system. The boot program is stored in a standard location on a bootable device. For a normal boot from disk, for example, the boot program might be located in block 0 of the root disk or, less commonly, in a special partition on the root disk. In the same way, the boot program may be the second file on a bootable tape or in a designated location on a remote file server in the case of a network boot of a diskless workstation. There is usually more than one bootable device on a system. The firmware program may include logic for selecting the device to boot from, often in the form of a list of potential devices to examine. -
Cross-App Interference Threats in Smart Homes: Categorization, Detection and Handling
Cross-App Interference Threats in Smart Homes: Categorization, Detection and Handling Haotian Chi∗, Qiang Zengy, Xiaojiang Du∗, Jiaping Yu∗ ∗Department of Computer and Information Sciences, Temple University, Philadelphia, PA 19122, USA yDepartment of Computer Science and Engineering, University of South Carolina, Columbia, SC 29208, USA Email: fhtchi, dux, [email protected], [email protected] Abstract—A number of Internet of Things (IoTs) platforms a smart door lock via an IoT app to break into homes, which have emerged to enable various IoT apps developed by third- is impossible in non-appified IoT systems. party developers to automate smart homes. Prior research mostly Fernandes et al. [22] discover design flaws such as the concerns the overprivilege problem in the permission model. Our work, however, reveals that even IoT apps that follow overprivilege problem in Samsung’s SmartThings, one of the the principle of least privilege, when they interplay, can cause most mature smart home platforms; they demonstrate that unique types of threats, named Cross-App Interference (CAI) malicious apps can be constructed to expose smart homes to threats. We describe and categorize the new threats, showing severe attacks that exploit the overprivilege problem. Thus, that unexpected automation, security and privacy issues may be some systems are proposed to handle the problem. ContexIoT caused by such threats, which cannot be handled by existing IoT security mechanisms. To address this problem, we present [29] proposes a context-based permission system to involve HOMEGUARD, a system for appified IoT platforms to detect users into making decisions on whether a security-critical and cope with CAI threats. -
Beyond Init: Systemd Linux Plumbers Conference 2010
Beyond Init: systemd Linux Plumbers Conference 2010 Kay Sievers Lennart Poettering November 2010 Kay Sievers, Lennart Poettering Beyond Init: systemd Triggers: Boot, Socket, Bus, Device, Path, Timers, More Kay Sievers, Lennart Poettering Beyond Init: systemd Kay Sievers, Lennart Poettering Beyond Init: systemd Substantial coverage of basic OS boot-up tasks, including fsck, mount, quota, hwclock, readahead, tmpfiles, random-seed, console, static module loading, early syslog, plymouth, shutdown, kexec, SELinux, initrd+initrd-less boots. Status: almost made Fedora 14. Kay Sievers, Lennart Poettering Beyond Init: systemd including fsck, mount, quota, hwclock, readahead, tmpfiles, random-seed, console, static module loading, early syslog, plymouth, shutdown, kexec, SELinux, initrd+initrd-less boots. Status: almost made Fedora 14. Substantial coverage of basic OS boot-up tasks, Kay Sievers, Lennart Poettering Beyond Init: systemd mount, quota, hwclock, readahead, tmpfiles, random-seed, console, static module loading, early syslog, plymouth, shutdown, kexec, SELinux, initrd+initrd-less boots. Status: almost made Fedora 14. Substantial coverage of basic OS boot-up tasks, including fsck, Kay Sievers, Lennart Poettering Beyond Init: systemd quota, hwclock, readahead, tmpfiles, random-seed, console, static module loading, early syslog, plymouth, shutdown, kexec, SELinux, initrd+initrd-less boots. Status: almost made Fedora 14. Substantial coverage of basic OS boot-up tasks, including fsck, mount, Kay Sievers, Lennart Poettering Beyond Init: systemd hwclock, readahead, tmpfiles, random-seed, console, static module loading, early syslog, plymouth, shutdown, kexec, SELinux, initrd+initrd-less boots. Status: almost made Fedora 14. Substantial coverage of basic OS boot-up tasks, including fsck, mount, quota, Kay Sievers, Lennart Poettering Beyond Init: systemd readahead, tmpfiles, random-seed, console, static module loading, early syslog, plymouth, shutdown, kexec, SELinux, initrd+initrd-less boots. -
UNIX System Services Z/OS Version 1 Release 7 Implementation
Front cover UNIX System Services z/OS Version 1 Release 7 Implementation z/OS UNIX overview z/OS UNIX setup z/OS UNIX usage Paul Rogers Theodore Antoff Patrick Bruinsma Paul-Robert Hering Lutz Kühner Neil O’Connor Lívio Sousa ibm.com/redbooks International Technical Support Organization UNIX System Services z/OS Version 1 Release 7 Implementation March 2006 SG24-7035-01 Note: Before using this information and the product it supports, read the information in “Notices” on page xiii. Second Edition (March 2006) This edition applies to Version 1 Release 7 of z/OS (5637-A01), and Version 1, Release 7 of z/OS.e (5655-G52), and to all subsequent releases and modifications until otherwise indicated in new editions. © Copyright International Business Machines Corporation 2003, 2006. All rights reserved. Note to U.S. Government Users Restricted Rights -- Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp. Contents Notices . xiii Trademarks . xiv Preface . .xv The team that wrote this redbook. .xv Become a published author . xvi Comments welcome. xvii Chapter 1. UNIX overview. 1 1.1 UNIX fundamentals . 2 1.1.1 UNIX objectives . 2 1.1.2 What people like about UNIX . 2 1.1.3 What people don’t like about UNIX . 3 1.1.4 UNIX operating system . 3 1.1.5 UNIX file system . 4 1.1.6 Parameter files . 6 1.1.7 Daemons. 6 1.1.8 Accessing UNIX . 6 1.1.9 UNIX standards. 7 1.1.10 MVS and UNIX functional comparison . 8 1.2 z/OS UNIX System Services fundamentals .