Denial-Of-Service Attacks
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Isolation, Resource Management, and Sharing in Java
Processes in KaffeOS: Isolation, Resource Management, and Sharing in Java Godmar Back, Wilson C. Hsieh, Jay Lepreau School of Computing University of Utah Abstract many environments for executing untrusted code: for example, applets, servlets, active packets [41], database Single-language runtime systems, in the form of Java queries [15], and kernel extensions [6]. Current systems virtual machines, are widely deployed platforms for ex- (such as Java) provide memory protection through the ecuting untrusted mobile code. These runtimes pro- enforcement of type safety and secure system services vide some of the features that operating systems pro- through a number of mechanisms, including namespace vide: inter-application memory protection and basic sys- and access control. Unfortunately, malicious or buggy tem services. They do not, however, provide the ability applications can deny service to other applications. For to isolate applications from each other, or limit their re- example, a Java applet can generate excessive amounts source consumption. This paper describes KaffeOS, a of garbage and cause a Web browser to spend all of its Java runtime system that provides these features. The time collecting it. KaffeOS architecture takes many lessons from operating To support the execution of untrusted code, type-safe system design, such as the use of a user/kernel bound- language runtimes need to provide a mechanism to iso- ary, and employs garbage collection techniques, such as late and manage the resources of applications, analogous write barriers. to that provided by operating systems. Although other re- The KaffeOS architecture supports the OS abstraction source management abstractions exist [4], the classic OS of a process in a Java virtual machine. -
Libresource - Getting System Resource Information with Standard Apis Tuesday, 13 November 2018 14:55 (15 Minutes)
Linux Plumbers Conference 2018 Contribution ID: 255 Type: not specified libresource - Getting system resource information with standard APIs Tuesday, 13 November 2018 14:55 (15 minutes) System resource information, like memory, network and device statistics, are crucial for system administrators to understand the inner workings of their systems, and are increasingly being used by applications to fine tune performance in different environments. Getting system resource information on Linux is not a straightforward affair. The best way is tocollectthe information from procfs or sysfs, but getting such information from procfs or sysfs presents many challenges. Each time an application wants to get a system resource information, it has to open a file, read the content and then parse the content to get actual information. If application is running in a container then even reading from procfs directly may give information about resources on whole system instead of just the container. Libresource tries to fix few of these problems by providing a standard library with set of APIs through which we can get system resource information e.g. memory, CPU, stat, networking, security related information. Libresource provides/may provide following benefits: • Virtualization: In cases where application is running in a virtualized environment using cgroup or namespaces, reading from /proc and /sys file-systems might not give correct information as these are not cgroup aware. Library API will take care of this e.g. if a process is running in a cgroup then library should provide information which is local to that cgroup. • Ease of use: Currently applications needs to read this info mostly from /proc and /sys file-systems. -
Introduction to Performance Management
C HAPTER 1 Introduction to Performance Management Application developers and system administrators face similar challenges in managing the performance of a computer system. Performance manage- ment starts with application design and development and migrates to administration and tuning of the deployed production system or systems. It is necessary to keep performance in mind at all stages in the development and deployment of a system and application. There is a definite over- lap in the responsibilities of the developer and administrator. Sometimes determining where one ends and the other begins is more difficult when a single person or small group develops, admin- isters and uses the application. This chapter will look at: • Application developer’s perspective • System administrator’s perspective • Total system resource perspective • Rules of performance tuning 1.1 Application Developer’s Perspective The tasks of the application developer include: • Defining the application • Determining the specifications • Designing application components • Developing the application codes • Testing, tuning, and debugging • Deploying the system and application • Maintaining the system and application 3 4 Chapter 1 • Introduction to Performance Management 1.1.1 Defining the Application The first step is to determine what the application is going to be. Initially, management may need to define the priorities of the development group. Surveys of user organizations may also be carried out. 1.1.2 Determining Application Specifications Defining what the application will accomplish is necessary before any code is written. The users and developers should agree, in advance, on the particular features and/or functionality that the application will provide. Often, performance specifications are agreed upon at this time, and these are typically expressed in terms of user response time or system throughput measures. -
Linux® Resource Administration Guide
Linux® Resource Administration Guide 007–4413–004 CONTRIBUTORS Written by Terry Schultz Illustrated by Chris Wengelski Production by Karen Jacobson Engineering contributions by Jeremy Brown, Marlys Kohnke, Paul Jackson, John Hesterberg, Robin Holt, Kevin McMahon, Troy Miller, Dennis Parker, Sam Watters, and Todd Wyman COPYRIGHT © 2002–2004 Silicon Graphics, Inc. All rights reserved; provided portions may be copyright in third parties, as indicated elsewhere herein. No permission is granted to copy, distribute, or create derivative works from the contents of this electronic documentation in any manner, in whole or in part, without the prior written permission of Silicon Graphics, Inc. LIMITED RIGHTS LEGEND The electronic (software) version of this document was developed at private expense; if acquired under an agreement with the USA government or any contractor thereto, it is acquired as "commercial computer software" subject to the provisions of its applicable license agreement, as specified in (a) 48 CFR 12.212 of the FAR; or, if acquired for Department of Defense units, (b) 48 CFR 227-7202 of the DoD FAR Supplement; or sections succeeding thereto. Contractor/manufacturer is Silicon Graphics, Inc., 1600 Amphitheatre Pkwy 2E, Mountain View, CA 94043-1351. TRADEMARKS AND ATTRIBUTIONS Silicon Graphics, SGI, the SGI logo, and IRIX are registered trademarks and SGI Linux and SGI ProPack for Linux are trademarks of Silicon Graphics, Inc., in the United States and/or other countries worldwide. SGI Advanced Linux Environment 2.1 is based on Red Hat Linux Advanced Server 2.1 for the Itanium Processor, but is not sponsored by or endorsed by Red Hat, Inc. -
A Double Horizon Defense Design for Robust Regulation of Malicious Traffic
University of Pennsylvania ScholarlyCommons Departmental Papers (ESE) Department of Electrical & Systems Engineering August 2006 A Double Horizon Defense Design for Robust Regulation of Malicious Traffic Ying Xu University of Pennsylvania, [email protected] Roch A. Guérin University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/ese_papers Recommended Citation Ying Xu and Roch A. Guérin, "A Double Horizon Defense Design for Robust Regulation of Malicious Traffic", . August 2006. Copyright 2006 IEEE. In Proceedings of the Second IEEE Communications Society/CreateNet International Conference on Security and Privacy in Communication Networks (SecureComm 2006). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Pennsylvania's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. This paper is posted at ScholarlyCommons. https://repository.upenn.edu/ese_papers/190 For more information, please contact [email protected]. A Double Horizon Defense Design for Robust Regulation of Malicious Traffic Abstract Deploying defense mechanisms in routers holds promises for protecting infrastructure resources such as link bandwidth or router buffers against network Denial-of-Service (DoS) attacks. However, in spite of their efficacy against bruteforce flooding attacks, existing outer-basedr defenses often perform poorly when confronted to more sophisticated attack strategies. -
SUSE Linux Enterprise Server 11 SP4 System Analysis and Tuning Guide System Analysis and Tuning Guide SUSE Linux Enterprise Server 11 SP4
SUSE Linux Enterprise Server 11 SP4 System Analysis and Tuning Guide System Analysis and Tuning Guide SUSE Linux Enterprise Server 11 SP4 Publication Date: September 24, 2021 SUSE LLC 1800 South Novell Place Provo, UT 84606 USA https://documentation.suse.com Copyright © 2006– 2021 SUSE LLC and contributors. All rights reserved. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or (at your option) version 1.3; with the Invariant Section being this copyright notice and license. A copy of the license version 1.2 is included in the section entitled “GNU Free Documentation License”. For SUSE trademarks, see http://www.suse.com/company/legal/ . All other third party trademarks are the property of their respective owners. A trademark symbol (®, ™ etc.) denotes a SUSE or Novell trademark; an asterisk (*) denotes a third party trademark. All information found in this book has been compiled with utmost attention to detail. However, this does not guarantee complete accuracy. Neither SUSE LLC, its aliates, the authors nor the translators shall be held liable for possible errors or the consequences thereof. Contents About This Guide xi 1 Available Documentation xii 2 Feedback xiv 3 Documentation Conventions xv I BASICS 1 1 General Notes on System Tuning 2 1.1 Be Sure What Problem to Solve 2 1.2 Rule Out Common Problems 3 1.3 Finding the Bottleneck 3 1.4 Step-by-step Tuning 4 II SYSTEM MONITORING 5 2 System Monitoring Utilities 6 2.1 Multi-Purpose Tools 6 vmstat 7 -
IBM Power Systems Virtualization Operation Management for SAP Applications
Front cover IBM Power Systems Virtualization Operation Management for SAP Applications Dino Quintero Enrico Joedecke Katharina Probst Andreas Schauberer Redpaper IBM Redbooks IBM Power Systems Virtualization Operation Management for SAP Applications March 2020 REDP-5579-00 Note: Before using this information and the product it supports, read the information in “Notices” on page v. First Edition (March 2020) This edition applies to the following products: Red Hat Enterprise Linux 7.6 Red Hat Virtualization 4.2 SUSE Linux SLES 12 SP3 HMC V9 R1.920.0 Novalink 1.0.0.10 ipmitool V1.8.18 © Copyright International Business Machines Corporation 2020. 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 . .v Trademarks . vi Preface . vii Authors. vii Now you can become a published author, too! . viii Comments welcome. viii Stay connected to IBM Redbooks . ix Chapter 1. Introduction. 1 1.1 Preface . 2 Chapter 2. Server virtualization . 3 2.1 Introduction . 4 2.2 Server and hypervisor options . 4 2.2.1 Power Systems models that support PowerVM versus KVM . 4 2.2.2 Overview of POWER8 and POWER9 processor-based hardware models. 4 2.2.3 Comparison of PowerVM and KVM / RHV . 7 2.3 Hypervisors . 8 2.3.1 Introducing IBM PowerVM . 8 2.3.2 Kernel-based virtual machine introduction . 15 2.3.3 Resource overcommitment . 16 2.3.4 Red Hat Virtualization . 17 Chapter 3. IBM PowerVM management and operations . 19 3.1 Shared processor logical partitions . 20 3.1.1 Configuring a shared processor LPAR . -
REST API Specifications
IBM Hyper-Scale Manager Version 5.5.1 REST API Specifications IBM IBM Confidential SC27-6440-06 IBM Confidential Note Before using this information and the product it supports, read the information in “Notices” on page 73. Edition Notice Publication number: SC27-6440-06. This edition applies to IBM® Hyper-Scale Manager version 5.5.1 and to all subsequent releases and modifications, until otherwise indicated in a newer publication. © Copyright International Business Machines Corporation 2014, 2019. US Government Users Restricted Rights – Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp. IBM Confidential Contents List of Tables........................................................................................................vii About this guide................................................................................................... ix Who should use this guide.......................................................................................................................... ix Conventions used in this guide................................................................................................................... ix Related information and publications.........................................................................................................ix Getting information, help, and service.........................................................................................................x IBM Publications Center............................................................................................................................. -
Speeding up Correlation Search for Binary Data
Speeding up Correlation Search for Binary Data Lian Duan and W. Nick Street [email protected] Management Sciences Department The University of Iowa Abstract Finding the most interesting correlations in a collection of items is essential for problems in many commercial, medical, and scientific domains. Much previous re- search focuses on finding correlated pairs instead of correlated itemsets in which all items are correlated with each other. Though some existing methods find correlated itemsets of any size, they suffer from both efficiency and effectiveness problems in large datasets. In our previous paper [10], we propose a fully-correlated itemset (FCI) framework to decouple the correlation measure from the need for efficient search. By wrapping the desired measure in our FCI framework, we take advantage of the desired measure’s superiority in evaluating itemsets, eliminate itemsets with irrelevant items, and achieve good computational performance. However, FCIs must start pruning from 2-itemsets unlike frequent itemsets which can start the pruning from 1-itemsets. When the number of items in a given dataset is large and the support of all the pairs cannot be loaded into the memory, the IO cost O(n2) for calculating correlation of all the pairs is very high. In addition, users usually need to try different correlation thresholds and the cost of processing the Apriori procedure each time for a different threshold is very high. Consequently, we propose two techniques to solve the efficiency problem in this paper. With respect to correlated pair search, we identify a 1-dimensional monotone prop- erty of the upper bound of any good correlation measure, and different 2-dimensional monotone properties for different types of correlation measures. -
Mining Web User Behaviors to Detect Application Layer Ddos Attacks
JOURNAL OF SOFTWARE, VOL. 9, NO. 4, APRIL 2014 985 Mining Web User Behaviors to Detect Application Layer DDoS Attacks Chuibi Huang1 1Department of Automation, USTC Key laboratory of network communication system and control Hefei, China Email: [email protected] Jinlin Wang1, 2, Gang Wu1, Jun Chen2 2Institute of Acoustics, Chinese Academy of Sciences National Network New Media Engineering Research Center Beijing, China Email: {wangjl, chenj}@dsp.ac.cn Abstract— Distributed Denial of Service (DDoS) attacks than TCP or UDP-based attacks, requiring fewer network have caused continuous critical threats to the Internet connections to achieve their malicious purposes. The services. DDoS attacks are generally conducted at the MyDoom worm and the CyberSlam are all instances of network layer. Many DDoS attack detection methods are this type attack [2, 3]. focused on the IP and TCP layers. However, they are not suitable for detecting the application layer DDoS attacks. In The challenges of detecting the app-DDoS attacks can this paper, we propose a scheme based on web user be summarized as the following aspects: browsing behaviors to detect the application layer DDoS • The app-DDoS attacks make use of higher layer attacks (app-DDoS). A clustering method is applied to protocols such as HTTP to pass through most of extract the access features of the web objects. Based on the the current anomaly detection systems designed access features, an extended hidden semi-Markov model is for low layers. proposed to describe the browsing behaviors of web user. • Along with flooding, App-DDoS traces the The deviation from the entropy of the training data set average request rate of the legitimate user and uses fitting to the hidden semi-Markov model can be considered as the abnormality of the observed data set. -
Technology, Policy, Law, and Ethics Regarding U.S. Acquisition and Use of Cyberattack Capabilities
THE NATIONAL ACADEMIES PRESS This PDF is available at http://nap.edu/12651 SHARE Technology, Policy, Law, and Ethics Regarding U.S. Acquisition and Use of Cyberattack Capabilities DETAILS 390 pages | 6x9 | PAPERBACK ISBN 978-0-309-13850-5 | DOI 10.17226/12651 AUTHORS BUY THIS BOOK William A. Owens, Kenneth W. Dam, and Herbert S. Lin, editors; Committee on Offensive Information Warfare; National Research Council FIND RELATED TITLES Visit the National Academies Press at NAP.edu and login or register to get: – Access to free PDF downloads of thousands of scientific reports – 10% off the price of print titles – Email or social media notifications of new titles related to your interests – Special offers and discounts Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the National Academies Press. (Request Permission) Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved. Technology, Policy, Law, and Ethics Regarding U.S. Acquisition and Use of Cyberattack Capabilities Technology, Policy, Law, and Ethics Regarding U.S. Acquisition and Use of CYBerattacK CapaBILITIes William A. Owens, Kenneth W. Dam, and Herbert S. Lin, Editors Committee on Offensive Information Warfare Computer Science and Telecommunications Board Division on Engineering and Physical Sciences Copyright National Academy of Sciences. All rights reserved. Technology, Policy, Law, and Ethics Regarding U.S. Acquisition and Use of Cyberattack Capabilities THE NATIONAL ACADEMIES PRESS 500 Fifth Street, N.W. Washington, DC 20001 NOTICE: The project that is the subject of this report was approved by the Gov- erning Board of the National Research Council, whose members are drawn from the councils of the National Academy of Sciences, the National Academy of Engi- neering, and the Institute of Medicine. -
AUGUST 2005 43 Your Defense Is Offensive STEVE MANZUIK EDITOR ;Login: Is the Official WORKPLACE Rik Farrow Magazine of the [email protected] USENIX Association
A UGUST 2005 VOLUME 30 NUMBER 4 THE USENIX MAGAZINE OPINION Musings RIK FARROWS Conference Password Sniffing ABE SINGER SYSADMIN The Inevitability of Xen JON CROWCROFT, KEIR FRASER, STEVEN HAND, IAN PRATT, AND ANDREW WARFIELD Secure Automated File Transfer MARK MCCULLOUGH SAN vs. NAS for Oracle: A Tale of Two Protocols ADAM LEVIN Practical Perl ADAM TUROFF ISPadmin ROBERT HASKINS L AW Primer on Cybercrime Laws DANI EL L. APPELMAN SECURITY Forensics for System Administrators SEAN PEISERT Your Defense Is Offensive STEVE MANZUIK WORKPLACE Marketing after the Bubble EMILY W. SALUS AND PETER H. SALUS BOOK REVIEWS Book Reviews RIK FAROWS USENIX NOTES SAGE Update DAVID PARTER ...and much more CONFERENCES 2005 USENIX Annual Technical Conference 2nd Symposium on Networked Systems Design and Implementation (NSDI ’05) 6th IEEE Workshop on Mobile Computing Systems and Applications (WMCSA 2004) The Advanced Computing Systems Association Upcoming Events INTERNET MEASUREMENT CONFERENCE 2005 4TH USENIX CONFERENCE ON FILE AND (IMC ’05) STORAGE TECHNOLOGIES (FAST ’05) Sponsored by ACM SIGCOMM in cooperation with USENIX Sponsored by USENIX in cooperation with ACM SIGOPS, IEEE Mass Storage Systems Technical Committee (MSSTC), OCTOBER 19–21, 2005, NEW ORLEANS, LA, USA and IEEE TCOS http://www.usenix.org/imc05 DECEMBER 14–16, 2005, SAN FRANCISCO, CA, USA http://www.usenix.org/fast05 ACM/IFIP/USENIX 6TH INTERNATIONAL MIDDLEWARE CONFERENCE 3RD SYMPOSIUM ON NETWORKED SYSTEMS NOVEMBER 28–DECEMBER 2, 2005, GRENOBLE, FRANCE DESIGN AND IMPLEMENTATION (NSDI ’06) http://middleware05.objectweb.org