The Linux Kernel
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FOSDEM 2017 Schedule
FOSDEM 2017 - Saturday 2017-02-04 (1/9) Janson K.1.105 (La H.2215 (Ferrer) H.1301 (Cornil) H.1302 (Depage) H.1308 (Rolin) H.1309 (Van Rijn) H.2111 H.2213 H.2214 H.3227 H.3228 Fontaine)… 09:30 Welcome to FOSDEM 2017 09:45 10:00 Kubernetes on the road to GIFEE 10:15 10:30 Welcome to the Legal Python Winding Itself MySQL & Friends Opening Intro to Graph … Around Datacubes Devroom databases Free/open source Portability of containers software and drones Optimizing MySQL across diverse HPC 10:45 without SQL or touching resources with my.cnf Singularity Welcome! 11:00 Software Heritage The Veripeditus AR Let's talk about The State of OpenJDK MSS - Software for The birth of HPC Cuba Game Framework hardware: The POWER Make your Corporate planning research Applying profilers to of open. CLA easy to use, aircraft missions MySQL Using graph databases please! 11:15 in popular open source CMSs 11:30 Jockeying the Jigsaw The power of duck Instrumenting plugins Optimized and Mixed License FOSS typing and linear for Performance reproducible HPC Projects algrebra Schema Software deployment 11:45 Incremental Graph Queries with 12:00 CloudABI LoRaWAN for exploring Open J9 - The Next Free It's time for datetime Reproducible HPC openCypher the Internet of Things Java VM sysbench 1.0: teaching Software Installation on an old dog new tricks Cray Systems with EasyBuild 12:15 Making License 12:30 Compliance Easy: Step Diagnosing Issues in Webpush notifications Putting Your Jobs Under Twitter Streaming by Open Source Step. Java Apps using for Kinto Introducing gh-ost the Microscope using Graph with Gephi Thermostat and OGRT Byteman. -
Jitk: a Trustworthy In-Kernel Interpreter Infrastructure
Jitk: A trustworthy in-kernel interpreter infrastructure Xi Wang, David Lazar, Nickolai Zeldovich, Adam Chlipala, Zachary Tatlock MIT and University of Washington Modern OSes run untrusted user code in kernel In-kernel interpreters - Seccomp: sandboxing (Linux) - BPF: packet filtering - INET_DIAG: socket monitoring - Dtrace: instrumentation Critical to overall system security - Any interpreter bugs are serious! 2/30 Many bugs have been found in interpreters Kernel space bugs - Control flow errors: incorrect jump offset, ... - Arithmetic errors: incorrect result, ... - Memory errors: buffer overflow, ... - Information leak: uninitialized read Kernel-user interface bugs - Incorrect encoding/decoding User space bugs - Incorrect input generated by tools/libraries Some have security consequences: CVE-2014-2889, ... See our paper for a case study of bugs 3/30 How to get rid of all these bugs at once? Theorem proving can help kill all these bugs seL4: provably correct microkernel [SOSP'09] CompCert: provably correct C compiler [CACM'09] This talk: Jitk - Provably correct interpreter for running untrusted user code - Drop-in replacement for Linux's seccomp - Built using Coq proof assistant + CompCert 5/30 Theorem proving: overview specification proof implementation Proof is machine-checkable: Coq proof assistant Proof: correct specification correct implementation Specification should be much simpler than implementation 6/30 Challenges What is the specification? How to translate systems properties into proofs? How to extract a running -
Chapter 1. Origins of Mac OS X
1 Chapter 1. Origins of Mac OS X "Most ideas come from previous ideas." Alan Curtis Kay The Mac OS X operating system represents a rather successful coming together of paradigms, ideologies, and technologies that have often resisted each other in the past. A good example is the cordial relationship that exists between the command-line and graphical interfaces in Mac OS X. The system is a result of the trials and tribulations of Apple and NeXT, as well as their user and developer communities. Mac OS X exemplifies how a capable system can result from the direct or indirect efforts of corporations, academic and research communities, the Open Source and Free Software movements, and, of course, individuals. Apple has been around since 1976, and many accounts of its history have been told. If the story of Apple as a company is fascinating, so is the technical history of Apple's operating systems. In this chapter,[1] we will trace the history of Mac OS X, discussing several technologies whose confluence eventually led to the modern-day Apple operating system. [1] This book's accompanying web site (www.osxbook.com) provides a more detailed technical history of all of Apple's operating systems. 1 2 2 1 1.1. Apple's Quest for the[2] Operating System [2] Whereas the word "the" is used here to designate prominence and desirability, it is an interesting coincidence that "THE" was the name of a multiprogramming system described by Edsger W. Dijkstra in a 1968 paper. It was March 1988. The Macintosh had been around for four years. -
Packet Capture Procedures on Cisco Firepower Device
Packet Capture Procedures on Cisco Firepower Device Contents Introduction Prerequisites Requirements Components Used Steps to Capture Packets Copy a Pcap File Introduction This document describes how to use the tcpdump command in order to capture packets that are seen by a network interface of your Firepower device. It uses Berkeley Packet Filter (BPF) syntax. Prerequisites Requirements Cisco recommends that you have knowledge of the Cisco Firepower device and the virtual device models. Components Used This document is not restricted to specific software and hardware versions. The information in this document was created from the devices in a specific lab environment. All of the devices used in this document started with a cleared (default) configuration. If your network is live, make sure that you understand the potential impact of any command. Warning: If you run tcpdump command on a production system, it can impact network performance. Steps to Capture Packets Log in to the CLI of your Firepower device. In versions 6.1 and later, enter capture-traffic. For example, > capture-traffic Please choose domain to capture traffic from: 0 - eth0 1 - Default Inline Set (Interfaces s2p1, s2p2) In versions 6.0.x.x and earlier, enter system support capture-traffic. For example, > system support capture-traffic Please choose domain to capture traffic from: 0 - eth0 1 - Default Inline Set (Interfaces s2p1, s2p2) After you make a selection, you will be prompted for options: Please specify tcpdump options desired. (or enter '?' for a list of supported options) Options: In order to capture sufficient data from the packets, it is necessary to use the -s option in order to set the snaplength correctly. -
Ebpf-Based Content and Computation-Aware Communication for Real-Time Edge Computing
eBPF-based Content and Computation-aware Communication for Real-time Edge Computing Sabur Baidya1, Yan Chen2 and Marco Levorato1 1Donald Bren School of Information and Computer Science, UC Irvine e-mail: fsbaidya, [email protected] 2America Software Laboratory, Huawei, e-mail: [email protected] Abstract—By placing computation resources within a one-hop interference constraints on IoT data streams and facilitate their wireless topology, the recent edge computing paradigm is a key coexistence. enabler of real-time Internet of Things (IoT) applications. In In this paper, we propose a computation-aware commu- the context of IoT scenarios where the same information from a sensor is used by multiple applications at different locations, the nication control framework for real-time IoT applications data stream needs to be replicated. However, the transportation generating high-volume data traffic processed at the network of parallel streams might not be feasible due to limitations in the edge. Driven by QoC requirements, the framework provides capacity of the network transporting the data. To address this real-time user-controlled packet replication and forwarding issue, a content and computation-aware communication control inside the in-kernel Virtual Machines (VM) using an extended framework is proposed based on the Software Defined Network (SDN) paradigm. The framework supports multi-streaming using Berkeley Packet Filter (eBPF) [9]. The implementation uses the extended Berkeley Packet Filter (eBPF), where the traffic flow the concepts of SDN and NFV to achieve highly program- and packet replication for each specific computation process is able and dynamic packet replication. Resource allocation is controlled by a program running inside an in-kernel Virtual Ma- semantic and content-aware, and, in the considered case, chine (VM). -
Security Bugs in Embedded Interpreters
Security bugs in embedded interpreters The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation Haogang Chen, Cody Cutler, Taesoo Kim, Yandong Mao, Xi Wang, Nickolai Zeldovich, and M. Frans Kaashoek. 2013. Security bugs in embedded interpreters. In Proceedings of the 4th Asia-Pacific Workshop on Systems (APSys '13). ACM, New York, NY, USA, Article 17, 7 pages. As Published http://dx.doi.org/10.1145/2500727.2500747 Publisher Edition Open Access Version Author's final manuscript Citable link http://hdl.handle.net/1721.1/86887 Terms of Use Creative Commons Attribution-Noncommercial-Share Alike Detailed Terms http://creativecommons.org/licenses/by-nc-sa/4.0/ Security bugs in embedded interpreters Haogang Chen Cody Cutler Taesoo Kim Yandong Mao Xi Wang Nickolai Zeldovich M. Frans Kaashoek MIT CSAIL Abstract Embedded interpreters raise interesting security con- Because embedded interpreters offer flexibility and per- cerns. First, many real-world systems do not adopt sand- formance, they are becoming more prevalent, and can be boxing techniques such as process isolation [20] or soft- found at nearly every level of the software stack. As one ware fault isolation [28] for embedded interpreters, possi- example, the Linux kernel defines languages to describe bly due to performance considerations. Consequently, a packet filtering rules and uses embedded interpreters to compromise of the interpreter is likely to lead to a com- filter packets at run time. As another example, theRAR promise of the host system as well. Second, embedded in- archive format allows embedding bytecode in compressed terpreters often validate untrusted bytecode using ad-hoc files to describe reversible transformations for decompres- rules, which is error-prone. -
Concurrent Programming Made Simple: the (R)Evolution of Transactional Memory
Concurrent Programming Made Simple: The (r)evolution of Transactional Memory Nuno Diegues∗1 and Torvald Riegely2 1INESC-ID, Lisbon, Portugal 2Red Hat October 1, 2013 ∗[email protected] [email protected] 1 1 Harnessing Concurrency Today, it is commonplace for developers to deal with concurrency in their applications. This reality has been driven by two ongoing revolutions in terms of hardware deployments. On one hand, processors have evolved to a multi- core paradigm in which computational power increases by increasing number of cores rather than by enhancing single thread performance. On the other hand, cloud computing has democratized the access to affordable large- scale distributed platforms. In both cases programmers are faced with a similar problem: if they want to scale out their applications, then they need to tackle the issue of how to synchronize access to data in face of ever growing concurrency levels. For many decades, programmers have been taught to rely on locking mechanisms or centralized components to manage concurrent accesses to data. However, the ongoing architectural trends towards massively parallel/large- scale systems have unveiled the limitations of traditional synchronization schemes — not only can they significantly limit the feasible parallelism, when there may exist tremendous untapped parallel potential; they also force to use intricate programming models that are prone to tricky concurrency bugs, which can be a conundrum to detect and fix. In fact, popular knowledge considers locking approaches simple to understand, but difficult to master. 2 Programming with Transactions To tackle this fundamental problem in modern software development, during recent years both industry and academia have started to adopt Transactional Memory (TM). -
FOSDEM 2006 – Saturday 25Th February (Part 1) 1/6
FOSDEM 2006 – Saturday 25th February (part 1) 1/6 10:00 OpenGroupware ▼ Opening Talks Tutorials KDE openSUSE Embedded Mozilla Tcl/Tk 13:00 (Janson) (H2215/Ferrer) (H.1301) (H.1302) (H.1308) (H.1309) +GNUstep (H.2111) (AW1.105) 13:00 lunch break 13:00 Movitation, 13:00 Opening and GNUstep devtools: Goals and 13:15 13:15 introduction GORM, StepTalk Opportunities Axel Hecht Nicolas Roard Systems VoIP 13:30 DTrace S. Krause-Harder, SETR LiveCD 13:30 M. Loeffler (Janson) (Lameere) 13:45 Jon Haslam Hector Oron 13:45 Mozilla 14:00 14:00 Kubuntu openSUSE Build 14:00 Foundation CoreData Intro to Plan9 SER Service Intro 14:15 14:15 Jonathan 14:15 G. Markham Sašo Kiselkov Tcl/Tk Uriel M. Jan Janak A. Schroeter, 14:30 Pereira 14:30 Ridell C. Schumacher, Optimizing 14:30 Mozilla Clif Flynt A. Bauer 14:45 14:45 Linux kernel 14:45 Europe 15:00 15:00 Open SUSE Linux and apps 15:00 Tristan Nitot Web applicationsGUI for DTrace Asterisk M.Opdenacker 15:15 Jon Haslam Mark 15:15 Key Devroom Power Mngmt 15:15 SeaMonkey with SOPE ASIC 15:30 Spencer 15:30 Signing Timo Hoenig, Lock-free data 15:30 Project Marcus Mueller verification 15:45 15:45 Holger Macht exchange for 15:45 Robert Kaiser Karel Nijs Real-Time apps 16:00 16:00 SUSE Linux 16:00 Xen Speex Asterisk Marketing Peter Soetens Flock GNUstep on the Hecl: 10.2: 16:15 Ian Pratt J.-M. Valin 16:15 Mark KDE 16:15 Z. Braniecki Zaurus PDA scripting Quo vadis ? 16:30 16:30 Spencer Sebastian Alsa SoC layer16:30 Nicolaus Schaller for mobiles Kügler M.Loeffler,C.Thiel D.N.Welton 16:45 16:45 Liam Girdwood 16:45 Mozilla 17:00 Closing Talks (Janson) 17:00 17:00 Project BOF 17:15 17:15 17:15 FOSDEM Donators Return 17:30 17:30 17:45 17:45 17:30 FSF Europe Opening Talks (Janson) Hacker Rooms LPI Exam Sessions 10:00 FOSDEM Core Staff Welcome Speech Building H: H2213 Saturday 13:00-14:30 10:30 Keynote Building AW: AW1.117 (H2214) 15:00-16:30 Richard M. -
Host-Based Anomaly Detection with Extended BPF
Host-Based Anomaly Detection with Extended BPF COMP4906 Honours Thesis William Findlay April 5, 2020 Under the supervision of Dr. Anil Somayaji Carleton University Abstract William Findlay Abstract System introspection is becoming an increasingly attractive option for maintaining operating system stability and security. This is primarily due to the many recent advances in system introspection technology; in particular, the 2013 introduction of Extended Berkeley Packet Filter (eBPF ) into the Linux Kernel [63, 64] along with the recent development of more usable interfaces such as the BPF Compiler Collection (bcc)[29] has resulted in a highly compelling, performant, and (perhaps most importantly) safe subsystem for both kernel and userland instrumentation. The scope, safety, and performance of eBPF system introspection has potentially powerful applications in the domain of computer security. In order to demonstrate this, I present ebpH, an eBPF implementation of Somayaji’s [58] Process Homeostasis (pH ). ebpH is an intrusion detection system (IDS) that uses eBPF programs to instrument system calls and establish normal behavior for processes, building a profile for each executable on the system; subsequently, ebpH can warn the user when it detects process behavior that violates the established profiles. Experimental results show that ebpH can detect anomalies in process behavior with negligible overhead. Furthermore, ebpH’s anomaly detection comes with zero risk to the system thanks to the safety guarantees of eBPF, rendering it an ideal solution for monitoring production systems. This thesis will discuss the design and implementation of ebpH along with the technical challenges which occurred along the way. It will then present experimental data and per- formance benchmarks that demonstrate ebpH’s ability to monitor process behavior with minimal overhead. -
Securing Linux
466_HTC_Linux_FM.qxd 10/2/07 10:05 AM Page iii How to Cheat at Securing Linux Mohan Krishnamurthy Eric S. Seagren Raven Alder Aaron W. Bayles Josh Burke Skip Carter Eli Faskha 466_HTC_Linux_FM.qxd 10/2/07 10:05 AM Page iv Elsevier, Inc., the author(s), and any person or firm involved in the writing, editing, or production (collectively “Makers”) of this book (“the Work”) do not guarantee or warrant the results to be obtained from the Work. There is no guarantee of any kind, expressed or implied, regarding the Work or its contents.The Work is sold AS IS and WITHOUT WARRANTY.You may have other legal rights, which vary from state to state. In no event will Makers be liable to you for damages, including any loss of profits, lost savings, or other incidental or consequential damages arising out from the Work or its contents. Because some states do not allow the exclusion or limitation of liability for consequential or incidental damages, the above limitation may not apply to you. You should always use reasonable care, including backup and other appropriate precautions, when working with computers, networks, data, and files. Syngress Media®, Syngress®,“Career Advancement Through Skill Enhancement®,”“Ask the Author UPDATE®,” and “Hack Proofing®,” are registered trademarks of Elsevier, Inc.“Syngress:The Definition of a Serious Security Library”™,“Mission Critical™,” and “The Only Way to Stop a Hacker is to Think Like One™” are trademarks of Elsevier, Inc. Brands and product names mentioned in this book are trademarks or service marks of their respective companies. PUBLISHED BY Syngress Publishing, Inc. -
How to Cheat at Configuring Open Source Security Tools
436_XSS_FM.qxd 4/20/07 1:18 PM Page ii 441_HTC_OS_FM.qxd 4/12/07 1:32 PM Page i Visit us at www.syngress.com Syngress is committed to publishing high-quality books for IT Professionals and deliv- ering those books in media and formats that fit the demands of our customers. We are also committed to extending the utility of the book you purchase via additional mate- rials available from our Web site. SOLUTIONS WEB SITE To register your book, visit www.syngress.com/solutions. Once registered, you can access our [email protected] Web pages. There you may find an assortment of value- added features such as free e-books related to the topic of this book, URLs of related Web sites, FAQs from the book, corrections, and any updates from the author(s). ULTIMATE CDs Our Ultimate CD product line offers our readers budget-conscious compilations of some of our best-selling backlist titles in Adobe PDF form. These CDs are the perfect way to extend your reference library on key topics pertaining to your area of expertise, including Cisco Engineering, Microsoft Windows System Administration, CyberCrime Investigation, Open Source Security, and Firewall Configuration, to name a few. DOWNLOADABLE E-BOOKS For readers who can’t wait for hard copy, we offer most of our titles in downloadable Adobe PDF form. These e-books are often available weeks before hard copies, and are priced affordably. SYNGRESS OUTLET Our outlet store at syngress.com features overstocked, out-of-print, or slightly hurt books at significant savings. SITE LICENSING Syngress has a well-established program for site licensing our e-books onto servers in corporations, educational institutions, and large organizations. -
BERKELEY PACKET FILTER: Theory, Practice and Perspectives
Alma Mater Studiorum · Universita` di Bologna SCUOLA DI SCIENZE Corso di Laurea in Informatica BERKELEY PACKET FILTER: theory, practice and perspectives Relatore: Presentata da: Chiar.mo Prof. MICHELE DI STEFANO RENZO DAVOLI Sessione II Anno Accademico 2019/2020 All operating systems sucks, but Linux just sucks less. Linus Torvalds Introduction Initially packet filtering mechanism in many Unix versions was imple- mented in the userspace, meaning that each packet was copied from the kernel-space to the user-space before being filtered. This approach resulted to be inefficient compared with the performance shown by the introduction of the BSD classic Berkeley Packet Filter (cBPF). cBPF consists of an as- sembly language for a virtual machine which resides inside the kernel. The assembly language can be used to write filters that are loaded in to the ker- nel from the user-space allowing the filtering to happen in the kernel-space without copying each packet as before. cBPF use is not limited to just the networking domain but it is also applied as a mechanism to filter system calls through seccomp mode. Seccomp allows the programmer to arbitrary select which system calls to permit, representing an useful mechanism to implement sandboxing. In order to increase the number of use cases and to update the architecture accordingly to new advancements in modern processors, the virtual machine has been rewritten and new features have been added. The result is extended Berkeley Packet Filter (eBPF) which consists of a richer assembly, more pro- gram types, maps to store key/value pairs and more components. Currently eBPF (or just BPF) is under continuous development and its capacities are evolving, although the main uses are networking and tracing.