The Robot Operating System in Transition: Experiments and Tutorials
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Crypto Ransomware Analysis and Detection Using
CRYPTO RANSOMWARE ANALYSIS AND DETECTION USING PROCESS MONITOR by ASHWINI BALKRUSHNA KARDILE Presented to the Faculty of the Graduate School of The University of Texas at Arlington in Partial Fulfillment of the Requirements for the Degree of MASTER OF SCIENCE IN COMPUTER SCIENCE THE UNIVERSITY OF TEXAS AT ARLINGTON December 2017 Copyright © by Ashwini Balkrushna Kardile 2017 All Rights Reserved ii Acknowledgements I would like to thank Dr. Ming for his timely guidance and motivation. His insights for this research were valuable. I would also like to thank my committee members Dr. David Levine and Dr. David Kung for taking out time from their schedule and attending my dissertation. I am grateful to John Podolanko; it would not have been possible without his help and support. Thank you, John, for helping me and foster my confidence. I would like to thank my colleagues for supporting me directly or indirectly. Last but not the least; I would like to thank my parents, my family and my friends for encouraging me and supporting me throughout my research. November 16, 2017 iii Abstract CRYPTO RANSOMWARE ANALYSIS AND DETECTION USING PROCESS MONITOR Ashwini Balkrushna Kardile, MS The University of Texas at Arlington, 2017 Supervising Professor: Jiang Ming Ransomware is a faster growing threat that encrypts user’s files and locks the computer and holds the key required to decrypt the files for ransom. Over the past few years, the impact of ransomware has increased exponentially. There have been several reported high profile ransomware attacks, such as CryptoLocker, CryptoWall, WannaCry, Petya and Bad Rabbit which have collectively cost individuals and companies well over a billion dollars according to FBI. -
Cambridge University Press 978-1-108-78987-5 — How to Write Good Programs Perdita Stevens Index More Information
Cambridge University Press 978-1-108-78987-5 — How to Write Good Programs Perdita Stevens Index More Information Index A bold page number indicates where a term is deined. abstract syntax tree, 105 C, 35, 45, 189 abstraction, 29, 141 C♯,35 see also model C++, 35, 190 agile, 64, 159, 198 camel case, 89 algorithm, 29, 147, 148, 196 change, 141, 144, 197 Alice, 44 checklist, 127 arguments, 25,28 cloud, 66 functions as, 45 code order of, 108 commented-out, 62 type of, 41, 108 completion, 52,90 assert, 71 dead, 64 assignment, 131 line length, 99 vs. comparison, 126 reputable body of, 46, 63, 94, 99 Atom, 18 spaghetti, 98, 122 autocompletion, 52,90 unreachable, 64 autosave, 57 code sense, 3, 133 coding, 4 backups, 65 coding dojo, 153 bar, see metasyntactic variable coding interview, 148 BASIC, 44, 125 command line, 15, 49 baz, see metasyntactic variable comment, 27, 70, 85–88 BlueJ, 44, 54 commenting-out, 62 breakpoint, 111 comparison bug, 32, 101, 190, 191 of booleans, 126 after removing, 124 of objects, 130 avoiding, 138 vs. assignment, 126 avoiding recurrence of, 77 compiler, 13, 35 in compiler, 109 bug, 109 removing, 122 incremental, 51 the Lauren bug, 78 computational complexity, 148 see also debugging content assist, 52,90 build, 51, 53 contract, 88 202 © in this web service Cambridge University Press www.cambridge.org Cambridge University Press 978-1-108-78987-5 — How to Write Good Programs Perdita Stevens Index More Information Index 203 crash, 118 time, 146 currying, 23 user, 146 Emacs, 18, 49, 58, 90, 95 data science, 192 embedded -
Introduction to ROS – Robot Operating System –
Introduction to ROS – Robot Operating System – Daniel Serrano Department of Intelligent Systems, ASCAMM Technology Center Parc Tecnològic del Vallès, Av. Universitat Autònoma, 23 08290 Cerdanyola del Vallès SPAIN [email protected] ABSTRACT This paper gives an introduction to the open-source Robot Operating System (ROS. ROS has been widely adopted by the research robotics community as it provides a powerful software framework to develop autonomous unmanned systems. In this paper, we discuss some of the components that are available on the ROS repository. 1.0 INTRODUCTION The Robot Operating System (ROS) [1] is an open source robot operating system. It provides libraries and tools to help software developers create robot applications. It offers hardware abstraction, device drivers, libraries, visualizers, message-passing, package management, and more. ROS is similar in some respects to 'robot frameworks,' such as Player, YARP, Orocos, CARMEN, Orca, MOOS, and Microsoft Robotics Studio. The primary goal of ROS is to support code reuse in robotics research and development. It has been quickly adopted by many robotics research institutions and companies as their standard development framework. The list of robots using ROS is quite extent and it includes platforms from diverse domains, ranging from aerial and ground robots to humanoids and underwater vehicles. To name some, the humanoid robots PR-2 and REEM-C, ground robots such as the ClearPath platforms and aerial platforms such as the ones from Ascending Technologies are fully developed in ROS. Furthermore, a quite extent list of popular sensors for robots is already supported in ROS. To name some, sensors such as Inertial Measurement Units, GPS receivers, cameras and lasers can already be accessed from the drivers widely available on the ROS system. -
Section “Creating R Packages” in Writing R Extensions
Writing R Extensions Version 3.1.0 Under development (2013-03-29) R Core Team Permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and this permission notice are preserved on all copies. Permission is granted to copy and distribute modified versions of this manual under the con- ditions for verbatim copying, provided that the entire resulting derived work is distributed under the terms of a permission notice identical to this one. Permission is granted to copy and distribute translations of this manual into another lan- guage, under the above conditions for modified versions, except that this permission notice may be stated in a translation approved by the R Core Team. Copyright c 1999{2013 R Core Team i Table of Contents Acknowledgements ::::::::::::::::::::::::::::::::: 1 1 Creating R packages:::::::::::::::::::::::::::: 2 1.1 Package structure :::::::::::::::::::::::::::::::::::::::::::::: 3 1.1.1 The `DESCRIPTION' file :::::::::::::::::::::::::::::::::::: 4 1.1.2 Licensing:::::::::::::::::::::::::::::::::::::::::::::::::: 9 1.1.3 The `INDEX' file :::::::::::::::::::::::::::::::::::::::::: 10 1.1.4 Package subdirectories:::::::::::::::::::::::::::::::::::: 11 1.1.5 Data in packages ::::::::::::::::::::::::::::::::::::::::: 14 1.1.6 Non-R scripts in packages :::::::::::::::::::::::::::::::: 15 1.2 Configure and cleanup :::::::::::::::::::::::::::::::::::::::: 16 1.2.1 Using `Makevars'::::::::::::::::::::::::::::::::::::::::: 19 1.2.1.1 OpenMP support:::::::::::::::::::::::::::::::::::: -
Ranger Environment Documentation
Ranger Environment Documentation Drew Dolgert May 18, 2010 Contents 1 Introduction 2 1.1 Ranger Hardware ....................................... 2 2 Connect 3 2.1 Login Nodes ........................................... 3 2.2 Exercise: Use SSH to Connect ................................ 3 2.2.1 SSH from Linux or Mac ................................ 3 2.2.2 SSH from Windows .................................. 3 2.3 Starting: Read Examples of Sessions ............................ 4 2.4 Further Exercise: Using X-Windows to Connect ...................... 5 2.4.1 Opening a Connection From Mac .......................... 5 2.4.2 Opening a Connection From Linux ......................... 6 2.4.3 Opening a Connection From Windows ....................... 6 2.5 Exercise: Connect with VNC ................................. 9 2.6 Further Exercise: Choose Your Shell ............................ 9 2.7 Advanced: Make Login Faster ................................ 10 2.7.1 Making Shortcuts on Windows ............................ 10 2.7.2 Setup SSH Keys for No Password Login ....................... 10 3 Using Module 10 3.1 About the Module Command ................................. 10 3.2 Discussion Exercise: Learn Modules ............................ 11 3.3 Modules List .......................................... 11 3.4 Exercise: Compilation with Modules ............................ 15 3.5 Further Exercise: Module Dependencies .......................... 15 4 Running in Batch 17 4.1 Text Editors ........................................... 17 4.1.1 VI Cheat Sheet -
On the Naming of Methods: a Survey of Professional Developers
On the Naming of Methods: A Survey of Professional Developers Reem S. Alsuhaibani Christian D. Newman Michael J. Decker Michael L. Collard Jonathan I. Maletic Computer Science Software Engineering Computer Science Computer Science Computer Science Kent State University Rochester Institute of Bowling Green State The University of Akron Kent State University Prince Sultan University Technology University Ohio, USA Ohio, USA Riyadh, Saudi Arabia New York, USA Ohio, USA [email protected] [email protected] [email protected] [email protected] [email protected] Abstract—This paper describes the results of a large (+1100 Here, we focus specifically on the names given to methods responses) survey of professional software developers concerning in object-oriented software systems. However, much of this also standards for naming source code methods. The various applies to (free) functions in non-object-oriented systems (or standards for source code method names are derived from and parts). We focus on methods for several reasons. First, we are supported in the software engineering literature. The goal of the interested in method naming in the context of automatic method survey is to determine if there is a general consensus among summarization and documentation. Furthermore, different developers that the standards are accepted and used in practice. programming language constructs have their own naming Additionally, the paper examines factors such as years of guidelines. That is, local variables are named differently than experience and programming language knowledge in the context methods, which are named differently than classes [10,11]. Of of survey responses. The survey results show that participants these, prior work has found that function names have the largest very much agree about the importance of various standards and how they apply to names and that years of experience and the number of unique name variants when analyzed at the level of programming language has almost no effect on their responses. -
Introduction to Programming Systems an X Window System COS 217 Computing Environment
Princeton University COS 217: Introduction to Programming Systems An X Window System COS 217 Computing Environment The handout from the first precept entitled A Minimal COS 217 Computing Environment describes how to create and use a computing environment that is sufficient for COS 217. If you're satisfied with that environment, then you can ignore the rest of this document. The minimal computing environment has some disadvantages. Probably the biggest is that it can't handle input from pointing devices (mice, touchpads, and so forth). In particular, you might find it difficult to get comfortable with Emacs editing in the absence of a pointing device. A reasonable alternative to the minimal environment is the X Window System environment. Essentially, the X Window System integrates the local computer's windowing system with a remote Linux system. The web page http://en.wikipedia.org/wiki/X_Window_System provides details. The biggest advantage of the X Window System environment is that it allows you to use a pointing device when editing with Emacs. Its biggest disadvantages are that (1) setup is more difficult, and (2) it doesn't work well off campus, that is, with a lower-bandwidth network. The instructions given below describe how to connect your computer to CourseLab using the X Window System environment. When thus connected to CourseLab: Issuing a command of the form emacs filename displays a new window for Emacs. You can use a pointing device to manipulate that window. The shell hangs until you terminate your Emacs session. Issuing a command of the form emacs filename & (note the trailing ampersand) displays a new window for Emacs. -
Robot Operating System - the Complete Reference (Volume 4) Part of the Studies in Computational Intelligence Book Series (SCI, Volume 831)
Book Robot Operating System - The Complete Reference (Volume 4) Part of the Studies in Computational Intelligence book series (SCI, volume 831) Several authors CISTER-TR-190702 2019 Book CISTER-TR-190702 Robot Operating System - The Complete Reference (Volume 4) Robot Operating System - The Complete Reference (Volume 4) Several authors CISTER Research Centre Rua Dr. António Bernardino de Almeida, 431 4200-072 Porto Portugal Tel.: +351.22.8340509, Fax: +351.22.8321159 E-mail: https://www.cister-labs.pt Abstract This is the fourth volume of the successful series Robot Operating Systems: The Complete Reference, providing a comprehensive overview of robot operating systems (ROS), which is currently the main development framework for robotics applications, as well as the latest trends and contributed systems. The book is divided into four parts: Part 1 features two papers on navigation, discussing SLAM and path planning. Part 2 focuses on the integration of ROS into quadcopters and their control. Part 3 then discusses two emerging applications for robotics: cloud robotics, and video stabilization. Part 4 presents tools developed for ROS; the first is a practical alternative to the roslaunch system, and the second is related to penetration testing. This book is a valuable resource for ROS users and wanting to learn more about ROS capabilities and features. © 2019 CISTER Research Center 1 www.cister-labs.pt Studies in Computational Intelligence 831 Anis Koubaa Editor Robot Operating System (ROS) The Complete Reference (Volume 4) Studies in Computational Intelligence Volume 831 Series Editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland [email protected] The series “Studies in Computational Intelligence” (SCI) publishes new develop- ments and advances in the various areas of computational intelligence—quickly and with a high quality. -
Perl 6 Deep Dive
Perl 6 Deep Dive Data manipulation, concurrency, functional programming, and more Andrew Shitov BIRMINGHAM - MUMBAI Perl 6 Deep Dive Copyright © 2017 Packt Publishing All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews. Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book. Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information. First published: September 2017 Production reference: 1060917 Published by Packt Publishing Ltd. Livery Place 35 Livery Street Birmingham B3 2PB, UK. ISBN 978-1-78728-204-9 www.packtpub.com Credits Author Copy Editor Andrew Shitov Safis Editing Reviewer Project Coordinator Alex Kapranoff Prajakta Naik Commissioning Editor Proofreader Merint Mathew Safis Editing Acquisition Editor Indexer Chaitanya Nair Francy Puthiry Content Development Editor Graphics Lawrence Veigas Abhinash Sahu Technical Editor Production Coordinator Mehul Singh Nilesh Mohite About the Author Andrew Shitov has been a Perl enthusiast since the end of the 1990s, and is the organizer of over 30 Perl conferences in eight countries. -
Development Environment
BLUESPAWN BLUESPAWN Dev Team Apr 28, 2021 CONTENTS 1 Our Mission 3 2 What is BLUESPAWN 5 3 Get Involved & Contribute to the project7 4 Why we made BLUESPAWN9 4.1 Contact Us................................................9 4.2 Sponsoring................................................9 4.3 Licensing.................................................9 4.4 Project Authors.............................................. 10 4.5 Publications............................................... 11 4.6 Hunts................................................... 11 4.7 Scan Mode................................................ 11 4.8 Mitigations................................................ 11 4.9 Reactions................................................. 11 4.10 Logging and Output........................................... 11 4.11 Agent7 Integration............................................ 11 4.12 Getting Started.............................................. 11 4.13 Examples of BLUESPWAN in Action.................................. 13 4.14 Using Mitigations............................................ 14 4.15 Getting Involved............................................. 18 4.16 Setting up your Development Environment............................... 18 4.17 Software Architecture Info........................................ 19 4.18 Project Roadmap............................................. 21 i ii BLUESPAWN CONTENTS 1 BLUESPAWN 2 CONTENTS CHAPTER ONE OUR MISSION BLUESPAWN helps blue teams monitor systems in real-time against active attackers by detecting -
Declare Variable on Python
Declare Variable On Python Is Herby devout when Ambrose presaged familiarly? Rob castigate stertorously. Jake interchanging unwieldily? The final equals sign should point to the value you want to assign to your variables. There are some guidelines you need to know before you name a variable. Java, python variables and different data types with several examples are explained. There is a question that always hovers among Python programmers. Strings are declared within a single or double quote. Break a string based on some rule. It is very important that the number of variables on that line equals the number of values; otherwise, and can be subdivided into two basic categories, instead of using dummy names. Python interpreter allocates the memory to the variable. Python assigns values from right to left. However, Sam, then check your prediction. This article has been made free for everyone, I understand it will sometimes show up in the debugger. The data stored in memory can be of many types. Reassigning variables can be useful in some cases, by Tim Peters Beautiful is better than ugly. The variables that are prefixed with __ are known as the special variables. Swapping values between two variables is a common programming operation. We will go through python variables and python data types in more detail further in this blog. Lists in Python are very similar to arrays in many other languages, say you are receiving user input in your code. What if we try to call the local variable outside of the function? This appends a single value to the end of a list. -
Oracle 12C Installation Guide
Oracle > Installation Installation Oracle 12c Release 1 Table des matières 1. Install SUSE Linux Server for SAP Applications 12 SP2 ...................................................................................................... 3 1.1 SUSE Customer Center .............................................................................................................................................. 3 1.2 SSD for the Operating System................................................................................................................................... 3 1.3 Partitioning for the Operating System (stage 1) ....................................................................................................... 3 1.4 Boot Loader Settings ................................................................................................................................................. 5 1.5 Hard Disk for the Database ....................................................................................................................................... 5 1.6 Partitioning for the Database (stage 2)..................................................................................................................... 6 1.6.1 Setting the Partition Type (MBR or GPT) .............................................................................................................. 7 1.6.2 Adding the Partitions of Type Linux LVM ............................................................................................................. 7 1.6.3 Initializing