On the Network Your Passwords and Provides Information About the in a Vault, Type of Device and Installed Apps
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Legislators of Cyberspace: an Analysis of the Role Of
SHAPING CODE Jay P. Kesan* & Rajiv C. Shah** I. INTRODUCTION ............................................................................................................................ 4 II. THE CASE STUDIES: THE DEVELOPMENT OF CODE WITHIN INSTITUTIONS.............................. 13 A. World Wide Web......................................................................................................... 14 1. Libwww............................................................................................................ 14 2. NCSA Mosaic .................................................................................................. 16 B. Cookies ........................................................................................................................ 21 1. Netscape’s Cookies .......................................................................................... 21 2. The IETF’s Standard for Cookies .................................................................... 24 C. Platform for Internet Content Selection....................................................................... 28 D. Apache......................................................................................................................... 34 III. LEGISLATIVE BODIES: SOCIETAL INSTITUTIONS THAT DEVELOP CODE ................................. 37 A. Universities.................................................................................................................. 38 B. Firms........................................................................................................................... -
Improved Neural Network Based General-Purpose Lossless Compression Mohit Goyal, Kedar Tatwawadi, Shubham Chandak, Idoia Ochoa
JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015 1 DZip: improved neural network based general-purpose lossless compression Mohit Goyal, Kedar Tatwawadi, Shubham Chandak, Idoia Ochoa Abstract—We consider lossless compression based on statistical [4], [5] and generative modeling [6]). Neural network based data modeling followed by prediction-based encoding, where an models can typically learn highly complex patterns in the data accurate statistical model for the input data leads to substantial much better than traditional finite context and Markov models, improvements in compression. We propose DZip, a general- purpose compressor for sequential data that exploits the well- leading to significantly lower prediction error (measured as known modeling capabilities of neural networks (NNs) for pre- log-loss or perplexity [4]). This has led to the development of diction, followed by arithmetic coding. DZip uses a novel hybrid several compressors using neural networks as predictors [7]– architecture based on adaptive and semi-adaptive training. Unlike [9], including the recently proposed LSTM-Compress [10], most NN based compressors, DZip does not require additional NNCP [11] and DecMac [12]. Most of the previous works, training data and is not restricted to specific data types. The proposed compressor outperforms general-purpose compressors however, have been tailored for compression of certain data such as Gzip (29% size reduction on average) and 7zip (12% size types (e.g., text [12] [13] or images [14], [15]), where the reduction on average) on a variety of real datasets, achieves near- prediction model is trained in a supervised framework on optimal compression on synthetic datasets, and performs close to separate training data or the model architecture is tuned for specialized compressors for large sequence lengths, without any the specific data type. -
Vol.11, No. 2, 2011
Applied Computing Review 2 SIGAPP FY’11 Semi-Annual Report July 2010- February 2011 Sung Y. Shin Mission To further the interests of the computing professionals engaged in the development of new computing applications and to transfer the capabilities of computing technology to new problem domains. Officers Chair – Sung Y. Shin South Dakota State University, USA Vice Chair – Richard Chbeir Bourgogne University, Dijon, France Secretary – W. Eric Wong University of Texas, USA Treasurer – Lorie Liebrock New Mexico Institute of Mining and Technology, USA Web Master – Hisham Haddad Kennesaw State University, USA ACM Program Coordinator – Irene Frawley ACM HQ Applied Computing Review 3 Notice to Contributing Authors to SIG Newsletters By submitting your article for distribution in this Special Interest Group publication, you hereby grant to ACM the following non-exclusive, perpetual, worldwide rights. • To publish in print on condition of acceptance by the editor • To digitize and post your article in the electronic version of this publication • To include the article in the ACM Digital Library • To allow users to copy and distribute the article for noncommercial, educational, or research purposes. However, as a contributing author, you retain copyright to your article and ACM will make every effort to refer requests for commercial use directly to you. Status Update SIGAPP's main event for this year will be the Symposium on Applied Computing (SAC) 2011 in Taichung, Taiwan from March 21-24 which will carry the tradition from Switzerland's SAC 2010. This year's SAC preparation has been very successful. More details about incoming SAC 2011 will follow in the next section. -
Dissertation Docteur De L'université Du Luxembourg
PhD-FSTC-2012-10 The Faculty of Sciences, Technology and Communication DISSERTATION Defense held on 30/03/2012 in Luxembourg to obtain the degree of DOCTEUR DE L’UNIVERSITÉ DU LUXEMBOURG EN INFORMATIQUE by Cynthia WAGNER Born on 2nd August 1982 in Esch/Alzette (Luxembourg) SECURITY AND NETWORK MONITORING BASED ON INTERNET FLOW MEASUREMENTS Dissertation defense committee Dr Thomas Engel, dissertation supervisor Professor, Université du Luxembourg-SnT Dr Chrisptoh Schommer, Chairman Professor, Université du Luxembourg Dr Vijay Gurbani, Vice Chairman Professor, Illinois Institute of Technology and Bell Laboratories Dr Radu State Dr. habil., Université du Luxembourg – SnT Dr Jean Hilger Banque et Caisse d’Epargne de l’Etat (BCEE) 2 Acknowledgments This doctoral thesis has been realized at the SECAN-LAB of the Interdisciplinary Centre for Security, Reliability and Trust (SnT) and the University of Luxembourg. Writing this doctoral thesis without help and support from kind people would not have been possible. First of all, I would like to thank my supervisor, Prof. Dr. Thomas Engel, for giving me the opportunity of being a member of his research team for the last four years. I owe sincere and earnest thanks to my supervisor Dr.hab. Radu State for his support and advice. I want to thank Prof. Dr. Vijay Gurbani for being part in my CET committee. I owe sincere thanks to Dr. Jean Hilger and Prof. Dr. Christoph Schommer for participating in the jury of this thesis. Furthermore, I would like to thank Dr. G´erardWagener and Alexandre Dulaunoy from the Computer Incident Response Centre Luxembourg for providing relevant research data and especially for their scientific cooperation and support. -
Managing Many Files with Disk Archiver (DAR)
Intro Manual demos Function demos Summary Managing many files with Disk ARchiver (DAR) ALEX RAZOUMOV [email protected] WestGrid webinar - ZIP file with slides and functions http://bit.ly/2GGR9hX 2019-May-01 1 / 16 Intro Manual demos Function demos Summary To ask questions Websteam: email [email protected] Vidyo: use the GROUP CHAT to ask questions Please mute your microphone unless you have a question Feel free to ask questions via audio at any time WestGrid webinar - ZIP file with slides and functions http://bit.ly/2GGR9hX 2019-May-01 2 / 16 Intro Manual demos Function demos Summary Parallel file system limitations Lustre object storage servers (OSS) can get overloaded with lots of small requests I /home, /scratch, /project I Lustre is very different from your laptop’s HDD/SSD I a bad workflow will affect all other users on the system Avoid too many files, lots of small reads/writes I use quota command to see your current usage I maximum 5 × 105 files in /home, 106 in /scratch, 5 × 106 in /project (1) organize your code’s output (2) use TAR or another tool to pack files into archives and then delete the originals WestGrid webinar - ZIP file with slides and functions http://bit.ly/2GGR9hX 2019-May-01 3 / 16 Intro Manual demos Function demos Summary TAR limitations TAR is the most widely used archiving format on UNIX-like systems I first released in 1979 Each TAR archive is a sequence of files I each file inside contains: a header + some padding to reach a multiple of 512 bytes + file content I EOF padding (some zeroed blocks) at the end of the -
Web Tracking: Mechanisms, Implications, and Defenses Tomasz Bujlow, Member, IEEE, Valentín Carela-Español, Josep Solé-Pareta, and Pere Barlet-Ros
ARXIV.ORG DIGITAL LIBRARY 1 Web Tracking: Mechanisms, Implications, and Defenses Tomasz Bujlow, Member, IEEE, Valentín Carela-Español, Josep Solé-Pareta, and Pere Barlet-Ros Abstract—This articles surveys the existing literature on the of ads [1], [2], price discrimination [3], [4], assessing our methods currently used by web services to track the user online as health and mental condition [5], [6], or assessing financial well as their purposes, implications, and possible user’s defenses. credibility [7]–[9]. Apart from that, the data can be accessed A significant majority of reviewed articles and web resources are from years 2012 – 2014. Privacy seems to be the Achilles’ by government agencies and identity thieves. Some affiliate heel of today’s web. Web services make continuous efforts to programs (e.g., pay-per-sale [10]) require tracking to follow obtain as much information as they can about the things we the user from the website where the advertisement is placed search, the sites we visit, the people with who we contact, to the website where the actual purchase is made [11]. and the products we buy. Tracking is usually performed for Personal information in the web can be voluntarily given commercial purposes. We present 5 main groups of methods used for user tracking, which are based on sessions, client by the user (e.g., by filling web forms) or it can be collected storage, client cache, fingerprinting, or yet other approaches. indirectly without their knowledge through the analysis of the A special focus is placed on mechanisms that use web caches, IP headers, HTTP requests, queries in search engines, or even operational caches, and fingerprinting, as they are usually very by using JavaScript and Flash programs embedded in web rich in terms of using various creative methodologies. -
Deep Web for Journalists: Comms, Counter-Surveillance, Search
Deep Web for Journalists: Comms, Counter-surveillance, Search Special Complimentary Edition for Delegates attending the 28th World Congress of the International Federation of Journalists * By Alan Pearce Edited by Sarah Horner * © Alan Pearce June 2013 www.deepwebguides.com Table of Contents Introduction by the International Federation of Journalists A Dangerous Digital World What is the Deep Web and why is it useful to Journalists? How Intelligence Gathering Works How this affects Journalists 1 SECURITY ALERT . Setting up Defenses 2 Accessing Hidden Networks . Using Tor . Entry Points 3 Secure Communications . Email . Scramble Calls . Secret Messaging . Private Messaging . Deep Chat . Deep Social Networks 4 Concealed Carry 5 Hiding Things . Transferring Secret Data . Hosting, Storing and Sharing . Encryption . Steganography – hiding things inside things 6 Smartphones . Counter-Intrusion . 007 Apps 7 IP Cameras 8 Keeping out the Spies . Recommended Free Programs . Cleaning Up . Erasing History . Alternative Software Share the Knowledge About the Authors Foreword by the International Federation of Journalists Navigating the Dangerous Cyber Jungle Online media safety is of the highest importance to the International Federation of Journalists. After all, the victims are often our members. The IFJ is the world’s largest organization of journalists and our focus is on ways and means to stop physical attacks, harassment and the killing of journalists and media staff. In an age where journalism – like everything else in modern life – is dominated by the Internet, online safety is emerging as a new front. In this new war, repressive regimes now keep a prying eye on what journalists say, write and film. They want to monitor contacts and they want to suppress information. -
SPI Annual Report 2015
Software in the Public Interest, Inc. 2015 Annual Report July 12, 2016 To the membership, board and friends of Software in the Public Interest, Inc: As mandated by Article 8 of the SPI Bylaws, I respectfully submit this annual report on the activities of Software in the Public Interest, Inc. and extend my thanks to all of those who contributed to the mission of SPI in the past year. { Martin Michlmayr, SPI Secretary 1 Contents 1 President's Welcome3 2 Committee Reports4 2.1 Membership Committee.......................4 2.1.1 Statistics...........................4 3 Board Report5 3.1 Board Members............................5 3.2 Board Changes............................6 3.3 Elections................................6 4 Treasurer's Report7 4.1 Income Statement..........................7 4.2 Balance Sheet............................. 13 5 Member Project Reports 16 5.1 New Associated Projects....................... 16 5.2 Updates from Associated Projects................. 16 5.2.1 0 A.D.............................. 16 5.2.2 Chakra............................ 16 5.2.3 Debian............................. 17 5.2.4 Drizzle............................. 17 5.2.5 FFmpeg............................ 18 5.2.6 GNU TeXmacs........................ 18 5.2.7 Jenkins............................ 18 5.2.8 LibreOffice.......................... 18 5.2.9 OFTC............................. 19 5.2.10 PostgreSQL.......................... 19 5.2.11 Privoxy............................ 19 5.2.12 The Mana World....................... 19 A About SPI 21 2 Chapter 1 President's Welcome SPI continues to focus on our core services, quietly and competently supporting the activities of our associated projects. A huge thank-you to everyone, particularly our board and other key volun- teers, whose various contributions of time and attention over the last year made continued SPI operations possible! { Bdale Garbee, SPI President 3 Chapter 2 Committee Reports 2.1 Membership Committee 2.1.1 Statistics On January 1, 2015 we had 512 contributing and 501 non-contributing mem- bers. -
Bandizip Professional Enterprise V710 Patchserialszip
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Hydraspace: Computational Data Storage for Autonomous Vehicles
HydraSpace: Computational Data Storage for Autonomous Vehicles Ruijun Wang, Liangkai Liu and Weisong Shi Wayne State University fruijun, liangkai, [email protected] Abstract— To ensure the safety and reliability of an The current vehicle data logging system is designed autonomous driving system, multiple sensors have been for capturing a wide range of signals of traditional CAN installed in various positions around the vehicle to elim- bus data, including temperature, brakes, throttle settings, inate any blind point which could bring potential risks. Although the sensor data is quite useful for localization engine, speed, etc. [4]. However, it cannot handle sensor and perception, the high volume of these data becomes a data because both the data type and the amount far burden for on-board computing systems. More importantly, exceed its processing capability. Thus, it is urgent to the situation will worsen with the demand for increased propose efficient data computing and storage methods for precision and reduced response time of self-driving appli- both CAN bus and sensed data to assist the development cations. Therefore, how to manage this massive amount of sensed data has become a big challenge. The existing of self-driving techniques. As it refers to the installed vehicle data logging system cannot handle sensor data sensors, camera and LiDAR are the most commonly because both the data type and the amount far exceed its used because the camera can show a realistic view processing capability. In this paper, we propose a computa- of the surrounding environment while LiDAR is able tional storage system called HydraSpace with multi-layered to measure distances with laser lights quickly [5], [6]. -
Answers to Exercises
Answers to Exercises A bird does not sing because he has an answer, he sings because he has a song. —Chinese Proverb Intro.1: abstemious, abstentious, adventitious, annelidous, arsenious, arterious, face- tious, sacrilegious. Intro.2: When a software house has a popular product they tend to come up with new versions. A user can update an old version to a new one, and the update usually comes as a compressed file on a floppy disk. Over time the updates get bigger and, at a certain point, an update may not fit on a single floppy. This is why good compression is important in the case of software updates. The time it takes to compress and decompress the update is unimportant since these operations are typically done just once. Recently, software makers have taken to providing updates over the Internet, but even in such cases it is important to have small files because of the download times involved. 1.1: (1) ask a question, (2) absolutely necessary, (3) advance warning, (4) boiling hot, (5) climb up, (6) close scrutiny, (7) exactly the same, (8) free gift, (9) hot water heater, (10) my personal opinion, (11) newborn baby, (12) postponed until later, (13) unexpected surprise, (14) unsolved mysteries. 1.2: A reasonable way to use them is to code the five most-common strings in the text. Because irreversible text compression is a special-purpose method, the user may know what strings are common in any particular text to be compressed. The user may specify five such strings to the encoder, and they should also be written at the start of the output stream, for the decoder’s use. -
Backing up Linux - Ii
BACKING UP LINUX - II 1 Software recommendations, disrecommendations and examples This chapter describes some details and examples of a number or programs. Please note that there are far more backup programs in existence than the ones I mention here. The reason I mention these, is because these are the ones I have a lot experience with, and it shows how to apply or consider the concepts described above, in practice. Sometimes as specifically refer to the GNU version of an application, the standard version on Linux installations, which can be fundamentally different than the classic version, so keep that in mind. 1.1. Dar First a word of caution. It's highly recommended that you use version 2.3.3 (most recent stable release at the time of writing) or newer because it contains a major bugfix. Read the announcement on Dar's news list for more info. Dar is very well thought through and has solutions for classic pitfalls. For example, it comes with a statically compiled binary which you can copy on (the first disk of) your backup. It supports automatic archive slicing, and has an option to set the size of the first slice separately, so you have some space on the first disk left for making a boot CD, for example. It also lets you run a command between each slice, so you can burn it on CD, or calculate parity information on it, etc. And, very importantly, its default options are well chosen. Well, that is, except for the preservation of atimes (see atime-preserveration above).