Evaluation of Operating Systems for Embedded Low-Power Wireless Systems Contiki, Riot OS, Zephyr
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AMNESIA 33: How TCP/IP Stacks Breed Critical Vulnerabilities in Iot
AMNESIA:33 | RESEARCH REPORT How TCP/IP Stacks Breed Critical Vulnerabilities in IoT, OT and IT Devices Published by Forescout Research Labs Written by Daniel dos Santos, Stanislav Dashevskyi, Jos Wetzels and Amine Amri RESEARCH REPORT | AMNESIA:33 Contents 1. Executive summary 4 2. About Project Memoria 5 3. AMNESIA:33 – a security analysis of open source TCP/IP stacks 7 3.1. Why focus on open source TCP/IP stacks? 7 3.2. Which open source stacks, exactly? 7 3.3. 33 new findings 9 4. A comparison with similar studies 14 4.1. Which components are typically flawed? 16 4.2. What are the most common vulnerability types? 17 4.3. Common anti-patterns 22 4.4. What about exploitability? 29 4.5. What is the actual danger? 32 5. Estimating the reach of AMNESIA:33 34 5.1. Where you can see AMNESIA:33 – the modern supply chain 34 5.2. The challenge – identifying and patching affected devices 36 5.3. Facing the challenge – estimating numbers 37 5.3.1. How many vendors 39 5.3.2. What device types 39 5.3.3. How many device units 40 6. An attack scenario 41 6.1. Other possible attack scenarios 44 7. Effective IoT risk mitigation 45 8. Conclusion 46 FORESCOUT RESEARCH LABS RESEARCH REPORT | AMNESIA:33 A note on vulnerability disclosure We would like to thank the CERT Coordination Center, the ICS-CERT, the German Federal Office for Information Security (BSI) and the JPCERT Coordination Center for their help in coordinating the disclosure of the AMNESIA:33 vulnerabilities. -
1921 Tulsa Race Riot Reconnaissance Survey
1921 Tulsa Race Riot Reconnaissance Survey Final November 2005 National Park Service U.S. Department of the Interior CONTENTS INTRODUCTION 1 Summary Statement 1 Bac.ground and Purpose 1 HISTORIC CONTEXT 5 National Persp4l<live 5 1'k"Y v. f~u,on' World War I: 1896-1917 5 World W~r I and Postw~r ( r.: 1!1t7' EarIV 1920,; 8 Tulsa RaCR Riot 14 IIa<kground 14 TI\oe R~~ Riot 18 AIt. rmath 29 Socilot Political, lind Economic Impa<tsJRamlt;catlon, 32 INVENTORY 39 Survey Arf!a 39 Historic Greenwood Area 39 Anla Oubi" of HiOlorK G_nwood 40 The Tulsa Race Riot Maps 43 Slirvey Area Historic Resources 43 HI STORIC GREENWOOD AREA RESOURCeS 7J EVALUATION Of NATIONAL SIGNIFICANCE 91 Criteria for National Significance 91 Nalional Signifiunce EV;1lu;1tio.n 92 NMiol\ill Sionlflcao<e An.aIYS;s 92 Inl~ri ly E~alualion AnalY'is 95 {"",Iu,ion 98 Potenl l~1 M~na~menl Strategies for Resource Prote<tion 99 PREPARERS AND CONSULTANTS 103 BIBUOGRAPHY 105 APPENDIX A, Inventory of Elltant Cultural Resoun:es Associated with 1921 Tulsa Race Riot That Are Located Outside of Historic Greenwood Area 109 Maps 49 The African American S«tion. 1921 51 TI\oe Seed. of c..taotrophe 53 T.... Riot Erupt! SS ~I,.,t Blood 57 NiOhl Fiohlino 59 rM Inva.ion 01 iliad. TIll ... 61 TM fighl for Standp''''' Hill 63 W.II of fire 65 Arri~.. , of the Statl! Troop< 6 7 Fil'lal FiOlrtino ~nd M~,,;~I I.IIw 69 jii INTRODUCTION Summary Statement n~sed in its history. -
Performance Study of Real-Time Operating Systems for Internet Of
IET Software Research Article ISSN 1751-8806 Performance study of real-time operating Received on 11th April 2017 Revised 13th December 2017 systems for internet of things devices Accepted on 13th January 2018 E-First on 16th February 2018 doi: 10.1049/iet-sen.2017.0048 www.ietdl.org Rafael Raymundo Belleza1 , Edison Pignaton de Freitas1 1Institute of Informatics, Federal University of Rio Grande do Sul, Av. Bento Gonçalves, 9500, CP 15064, Porto Alegre CEP: 91501-970, Brazil E-mail: [email protected] Abstract: The development of constrained devices for the internet of things (IoT) presents lots of challenges to software developers who build applications on top of these devices. Many applications in this domain have severe non-functional requirements related to timing properties, which are important concerns that have to be handled. By using real-time operating systems (RTOSs), developers have greater productivity, as they provide native support for real-time properties handling. Some of the key points in the software development for IoT in these constrained devices, like task synchronisation and network communications, are already solved by this provided real-time support. However, different RTOSs offer different degrees of support to the different demanded real-time properties. Observing this aspect, this study presents a set of benchmark tests on the selected open source and proprietary RTOSs focused on the IoT. The benchmark results show that there is no clear winner, as each RTOS performs well at least on some criteria, but general conclusions can be drawn on the suitability of each of them according to their performance evaluation in the obtained results. -
Operating in a New Environment
EMBEDDED DESIGN OPERATING SYSTEMS lthough the concept of the IoT was Ioated around the turn of the Millennium, it is A only recently that the approach has gathered significant momentum. But, because it is a blanket term, IoT is not only being applied to large and small applications alike, it is also being applied in a wide range of end markets. With such a spread, it will come as no surprise to discover that one size does not fit all when it comes to operating systems. At the high end of the market, companies like Intel are vying to provide a complete solution. Alongside its processor technology, Intel can integrate Wind River’s VxWorks operating system and McAfee security software to create a system capable of handling high levels of complexity. But those developing wearable devices, for example, may not want to take advantage of such a system; they may well be looking for an OS that runs in a very small footprint but, nonetheless, offers a range of Operating in a new necessary features while consuming minimal amounts of power. ARM has had its eyes on the sector for some time and, last year, rolled out environment a significant extension to its mbed programme. Previously, mbed was an embedded development community The Internet of Things is posing challenges to OS developers. with ambitions similar to those of Arduino and Raspberry Pi. But mbed How are they responding? By Graham Pitcher. now has a much bigger vision – the IoT. As part of this approach, it is creating mbed OS (see fig 1). -
RIOT: an Open Source Operating System for Low-End Embedded Devices in the Iot Emmanuel Baccelli, Cenk Gundo¨ Gan,˘ Oliver Hahm, Peter Kietzmann, Martine S
This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/JIOT.2018.2815038, IEEE Internet of Things Journal 1 RIOT: an Open Source Operating System for Low-end Embedded Devices in the IoT Emmanuel Baccelli, Cenk Gundo¨ gan,˘ Oliver Hahm, Peter Kietzmann, Martine S. Lenders, Hauke Petersen, Kaspar Schleiser, Thomas C. Schmidt, and Matthias Wahlisch¨ Abstract—As the Internet of Things (IoT) emerges, compact low-end IoT devices. RIOT runs on minimal memory in the operating systems are required on low-end devices to ease devel- order of ≈10kByte, and can run on devices with neither MMU opment and portability of IoT applications. RIOT is a prominent (memory management unit) nor MPU (memory protection free and open source operating system in this space. In this paper, we provide the first comprehensive overview of RIOT. We cover unit). The goal of this paper is to provide an overview of the key components of interest to potential developers and users: RIOT, both from the operating system point of view, and from the kernel, hardware abstraction, and software modularity, both an open source software and ecosystem point of view. conceptually and in practice for various example configurations. We explain operational aspects like system boot-up, timers, power Prior work [28], [29] has surveyed the space of operating management, and the use of networking. Finally, the relevant APIs as exposed by the operating system are discussed along systems for low-end IoT devices. -
A Tutorial on Performance Evaluation and Validation Methodology for Low-Power and Lossy Networks
A Tutorial on Performance Evaluation and Validation Methodology for Low-Power and Lossy Networks Kosmas Kritsis, Georgios Papadopoulos, Antoine Gallais, Periklis Chatzimisios, Fabrice Theoleyre To cite this version: Kosmas Kritsis, Georgios Papadopoulos, Antoine Gallais, Periklis Chatzimisios, Fabrice Theoleyre. A Tutorial on Performance Evaluation and Validation Methodology for Low-Power and Lossy Networks. Communications Surveys and Tutorials, IEEE Communications Society, Institute of Electrical and Electronics Engineers, 2018, 20 (3), pp.1799 - 1825. 10.1109/COMST.2018.2820810. hal-01886690 HAL Id: hal-01886690 https://hal.archives-ouvertes.fr/hal-01886690 Submitted on 23 Apr 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. 1 A Tutorial on Performance Evaluation and Validation Methodology for Low-Power and Lossy Networks Kosmas Kritsis, Georgios Z. Papadopoulos, Member, IEEE, Antoine Gallais, Periklis Chatzimisios, Senior Member, IEEE, and Fabrice Theoleyre,´ Senior Member, IEEE, Abstract—Envisioned communication densities in Internet of may be used for counting the number of vehicles, such to Things (IoT) applications are increasing continuously. Because control optimally the street traffic lights and to reduce the these wireless devices are often battery powered, we need waiting time [3]. specific energy efficient (low-power) solutions. -
A Comparative Study Between Operating Systems (Os) for the Internet of Things (Iot)
VOLUME 5 NO 4, 2017 A Comparative Study Between Operating Systems (Os) for the Internet of Things (IoT) Aberbach Hicham, Adil Jeghal, Abdelouahed Sabrim, Hamid Tairi LIIAN, Department of Mathematic & Computer Sciences, Sciences School, Sidi Mohammed Ben Abdellah University, [email protected], [email protected], [email protected], [email protected] ABSTRACT Abstract : We describe The Internet of Things (IoT) as a network of physical objects or "things" embedded with electronics, software, sensors, and network connectivity, which enables these objects to collect and exchange data in real time with the outside world. It therefore assumes an operating system (OS) which is considered as an unavoidable point for good communication between all devices “objects”. For this purpose, this paper presents a comparative study between the popular known operating systems for internet of things . In a first step we will define in detail the advantages and disadvantages of each one , then another part of Interpretation is developed, in order to analyze the specific requirements that an OS should satisfy to be used and determine the most appropriate .This work will solve the problem of choice of operating system suitable for the Internet of things in order to incorporate it within our research team. Keywords: Internet of things , network, physical object ,sensors,operating system. 1 Introduction The Internet of Things (IoT) is the vision of interconnecting objects, users and entities “objects”. Much, if not most, of the billions of intelligent devices on the Internet will be embedded systems equipped with an Operating Systems (OS) which is a system programs that manage computer resources whether tangible resources (like memory, storage, network, input/output etc.) or intangible resources (like running other computer programs as processes, providing logical ports for different network connections etc.), So it is the most important program that runs on a computer[1]. -
Contiki – a Lightweight and Flexible Operating System for Tiny Networked Sensors
Contiki – a Lightweight and Flexible Operating System for Tiny Networked Sensors Adam Dunkels, Björn Grönvall, Thiemo Voigt Swedish Institute of Computer Science IEEE EmNetS-I, 16 November 2004 Sensor OS trade-offs: static vs dynamic event-driven vs multi-threaded What we have done ● Contiki – an OS for sensor network nodes ● Ported Contiki to a number of platforms ● MSP430, AVR, HC12, Z80, 6502, x86, ... ● Simulation environment for BSD/Linux/Windows ● Built a few applications for experimental network deployments Contributions ● Dynamic loading of programs ● Selective reprogramming ● Static vs dynamic linking ● Concurrency management mechanisms ● Events vs threads ● Trade-offs: preemption, size Contiki design target ● “Mote”-class device ● 10-100 kilobytes of code ROM ● 1-10 kilobytes of RAM ● Communication (radio) ● ESB from FU Berlin ● MSP430, 2k RAM, 60k ROM Contiki size (bytes) Module Code MSP430 Code AVR RAM Kernel 810 1044 10 + e + p Program loader 658 - 8 Multi-threading library 582 678 8 + s Timer library 60 90 0 Memory manager 170 226 0 Event log replicator 1656 1934 200 µIP TCP/IP stack 4146 5218 18 + b Run-time reprogramming and loadable programs Reprogramming sensor nodes ● Software development for sensor nets ● Need to reprogram many nodes quite often ● Utilize radio for reprogramming ● Radio inherently broadcast ● Reprogram many nodes at once ● Much faster than firmware download via cable or programming adapter ● Reprogram deployed networks Traditional systems: entire system a monolithic binary ● Most systems statically -
Operating Systems & Virtualisation Security Knowledge Area
Operating Systems & Virtualisation Security Knowledge Area Issue 1.0 Herbert Bos Vrije Universiteit Amsterdam EDITOR Andrew Martin Oxford University REVIEWERS Chris Dalton Hewlett Packard David Lie University of Toronto Gernot Heiser University of New South Wales Mathias Payer École Polytechnique Fédérale de Lausanne The Cyber Security Body Of Knowledge www.cybok.org COPYRIGHT © Crown Copyright, The National Cyber Security Centre 2019. This information is licensed under the Open Government Licence v3.0. To view this licence, visit: http://www.nationalarchives.gov.uk/doc/open-government-licence/ When you use this information under the Open Government Licence, you should include the following attribution: CyBOK © Crown Copyright, The National Cyber Security Centre 2018, li- censed under the Open Government Licence: http://www.nationalarchives.gov.uk/doc/open- government-licence/. The CyBOK project would like to understand how the CyBOK is being used and its uptake. The project would like organisations using, or intending to use, CyBOK for the purposes of education, training, course development, professional development etc. to contact it at con- [email protected] to let the project know how they are using CyBOK. Issue 1.0 is a stable public release of the Operating Systems & Virtualisation Security Knowl- edge Area. However, it should be noted that a fully-collated CyBOK document which includes all of the Knowledge Areas is anticipated to be released by the end of July 2019. This will likely include updated page layout and formatting of the individual Knowledge Areas KA Operating Systems & Virtualisation Security j October 2019 Page 1 The Cyber Security Body Of Knowledge www.cybok.org INTRODUCTION In this Knowledge Area, we introduce the principles, primitives and practices for ensuring se- curity at the operating system and hypervisor levels. -
Embedded Operating Systems
7 Embedded Operating Systems Claudio Scordino1, Errico Guidieri1, Bruno Morelli1, Andrea Marongiu2,3, Giuseppe Tagliavini3 and Paolo Gai1 1Evidence SRL, Italy 2Swiss Federal Institute of Technology in Zurich (ETHZ), Switzerland 3University of Bologna, Italy In this chapter, we will provide a description of existing open-source operating systems (OSs) which have been analyzed with the objective of providing a porting for the reference architecture described in Chapter 2. Among the various possibilities, the ERIKA Enterprise RTOS (Real-Time Operating System) and Linux with preemption patches have been selected. A description of the porting effort on the reference architecture has also been provided. 7.1 Introduction In the past, OSs for high-performance computing (HPC) were based on custom-tailored solutions to fully exploit all performance opportunities of supercomputers. Nowadays, instead, HPC systems are being moved away from in-house OSs to more generic OS solutions like Linux. Such a trend can be observed in the TOP500 list [1] that includes the 500 most powerful supercomputers in the world, in which Linux dominates the competition. In fact, in around 20 years, Linux has been capable of conquering all the TOP500 list from scratch (for the first time in November 2017). Each manufacturer, however, still implements specific changes to the Linux OS to better exploit specific computer hardware features. This is especially true in the case of computing nodes in which lightweight kernels are used to speed up the computation. 173 174 Embedded Operating Systems Figure 7.1 Number of Linux-based supercomputers in the TOP500 list. Linux is a full-featured OS, originally designed to be used in server or desktop environments. -
RIOT, the Friendly Operating System for The
The friendly operating system for the IoT by Thomas Eichinger (on behalf of the RIOT community) OpenIoT Summit NA 2017 Why? How? What is RIOT? Why? How? What is RIOT? Why a software platform for the IoT? ● Linux, Arduino, … bare metal? ● But as IoT software evolves … ○ More complex pieces e.g. an IP network stack ○ Evolution of application logic ● … non-portable IoT software slows innovation ○ 90% of IoT software should be hardware-independent → this is achievable with a good software platform (but not if you develop bare metal) Why a software platform for the IoT? ✓ faster innovation by spreading IoT software dev. costs ✓ long-term IoT software robustness & security ✓ trust, transparency & protection of IoT users’ privacy ✓ less garbage with less IoT device lock-down Why? How? What is RIOT? How to achieve our goals? Experience (e.g. with Linux) points towards ● Open source Indirect business models ● Free core Geopolitical neutrality ● Driven by a grassroot community Main Challenges of an OS in IoT Low-end IoT device resource constraints ● Kernel performance ● System-level interoperability ● Network-level interoperability ● Trust SW platform on low-end IoT devices ● The good news: ○ No need for advanced GUI (a simple shell is sufficient) ○ No need for high throughput performance (kbit/s) ○ No need to support dozens of concurrent applications ● The bad news: ○ kBytes of memory! ○ Typically no MMU! ○ Extreme energy efficency must be built in! SW platform on low-end IoT devices ● Contiki ● mbedOS (ARM) ● ● Zephyr (Intel) ● TinyOS ● LiteOS (Huawei) ● myNewt ● … ● FreeRTOS ● and closed source alternatives Reference: O. Hahm et al. "Operating Systems for Low-End Devices in the Internet of Things: A survey," IEEE Internet of Things Journal, 2016. -
Internet of Things (Iot) Operating Systems Management: Opportunities, Challenges, and Solution
sensors Editorial Internet of Things (IoT) Operating Systems Management: Opportunities, Challenges, and Solution Yousaf Bin Zikria 1, Sung Won Kim 1,*, Oliver Hahm 2, Muhammad Khalil Afzal 3 and Mohammed Y. Aalsalem 4 1 Department of Information and Communication Engineering, Yeungnam University, 280 Daehak-Ro, Gyeongsan, Gyeongbuk 38541, Korea; [email protected] 2 Zühlke Group, Eschborn, 65760 Hessen, Germany; [email protected] 3 Department of Computer Science, COMSATS University Islamabad, Wah Campus, Wah Cantt 47010, Pakistan; [email protected] 4 Department of Computer Networks, Jazan University, Jazan 45142, Saudi Arabia; [email protected] * Correspondence: [email protected]; Tel.: +82-53-810-4742 Received: 9 April 2019; Accepted: 11 April 2019; Published: 15 April 2019 Abstract: Internet of Things (IoT) is rapidly growing and contributing drastically to improve the quality of life. Immense technological innovations and growth is a key factor in IoT advancements. Readily available low cost IoT hardware is essential for continuous adaptation of IoT. Advancements in IoT Operating System (OS) to support these newly developed IoT hardware along with the recent standards and techniques for all the communication layers are the way forward. The variety of IoT OS availability demands to support interoperability that requires to follow standard set of rules for development and protocol functionalities to support heterogeneous deployment scenarios. IoT requires to be intelligent to self-adapt according to the network conditions. In this paper, we present brief overview of different IoT OSs, supported hardware, and future research directions. Therein, we provide overview of the accepted papers in our Special Issue on IoT OS management: opportunities, challenges, and solution.