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How to Download Mega Files for Free How to Download Mega Files for Free
how to download mega files for free How to download mega files for free. MegaDownloader is a unique online tool that allows users to download files directly in their devices from Mega.nz. As we all know that Mega is quite popular for storing heavy files on its cloud storage space but unfortunately it’s quite hard to download files directly in any device due to certain limitations. You can avoid all this lengthy process by simply using our MegaDownloader that will automatically grab the relevant files for you. Steps to use Mega Downloader. It won’t take more than a minute to download any customized file using MegaDownloader, All you need to do is just follow these simple and easy steps in a proper sequence as described below. Open the Mega URL and go to Mega.nz from your web browser. Open the file location in the Mega Dashboard and then Copy the link to the clipboard. Now Paste the download link in our Megadownloader by D4down and wait for few seconds of the file download. After some time, the automated download process will be initiated in your browser. You’re Done and Downloaded file in your Folder. Why choose Downloader for Mega? These are the following basic reasons that you should also consider wisely while choosing any Downloader for Mega. It offers a Superfast download speed that will save a lot of your precious time. You can avoid all the restrictions such as download limit using our online MegaDownloader. It doesn’t require any account access while downloading directly from Mega requires an active Mega account otherwise you won’t be able to download it. -
Secure Data Sharing in the Cloud
Eivind Nordal Gran Secure data sharing in the cloud Eivind Nordal Gran Eivind Nordal Master’s thesis in Communication Technology Supervisor: Colin Alexander Boyd, Gareth Thomas Davies & Clementine Gritti June 2019 Master’s thesis Master’s Secure data sharing in the cloud data Secure NTNU Engineering Communication Technology Communication Department of Information Security and Department of Information Faculty of Information Technology and Electrical Technology of Information Faculty Norwegian University of Science and Technology of Science University Norwegian Eivind Nordal Gran Secure data sharing in the cloud Master’s thesis in Communication Technology Supervisor: Colin Alexander Boyd, Gareth Thomas Davies & Clementine Gritti June 2019 Norwegian University of Science and Technology Faculty of Information Technology and Electrical Engineering Department of Information Security and Communication Technology Problem description: Data sharing using cloud platforms has become increasingly more popular over the last few years. With the increase in use comes a heightened demand for security and privacy. This project will conduct a thorough study of a key transport proto- col developed at NTNU, which targets strong security as its preeminent property, including a form of forward secrecy. More specifically, it will investigate how this escalation in security level affects the performance and usability of the protocol. How will the new protocol designed with security as its primary concern compare against other already established schemes when it comes to efficiency and practicality? Abstract Cloud sharing security is an important topic in today’s society. The majority of the most common cloud sharing solutions require that the user trust the Cloud Service Provider (CSP) to protect and conceal uploaded data. -
Is Cloud Storage Secure? What Do the Providers Offer Concerning Security
Step 3 Step 4 Check Your Provider's Stance on Privacy Audit Your Files and Remove or Encrypt and Encryption Sensitive Data Is Cloud Storage If there's anything you'd hate to lose, or any- Secure? Next, do a little digging to see how your thing you're worried an overzealous algo- cloud storage service handles privacy, and rithm may close your account over, it's time how committed they are to protecting your to either remove it from the cloud and store data. We touched on this a while ago for it locally, or encrypt it. some of the most popular services, but not Encrypting those files and archives with a all of them. password may make it more of a hassle to Check what access your provider gives itself access on other devices, especially on your to your data. Review the security they claim smartphone or tablet, but it's a huge security to offer as well. Some companies encrypt boost, especially if you use your cloud ser- your data at rest on their servers, and note vice for things like financial documents, that even they have no idea what you're stor- contracts, or...anything else. ing with them. Others reserve the right to access your data Step 5 whenever they choose, and use vague, hand- Consider Diversifying with Privacy- and wavy terms like "bank level security" when Security-Conscious Services they talk about encryption. Those are all bad signs, and generally mean Spread out your critical data to different ser- that they either don't take security seriously, vices so if one of them gets hacked, loses or don't think you're smart enough to. -
Cloud Storage Augmentation with Multi User Repudiation and Data De-Duplication 1J.K
J.K. Periasamy et al., International Journal of Advanced Engineering Technology E-ISSN 0976-3945 Research Paper CLOUD STORAGE AUGMENTATION WITH MULTI USER REPUDIATION AND DATA DE-DUPLICATION 1J.K. Periasamy, 2B. Latha Address for Correspondence 1Research Scholar, Information and Communication Engineering, Anna University, Chennai & Computer Science and Engineering, Sri Sairam Engineering College, Chennai, Tamilnadu, India. 2Professor and Head, Computer Science and Engineering, Sri Sairam Engineering College, Chennai,Tamilnadu, India. ABSTRACT One of the major applications of Cloud computing is “Cloud Storage” where data is stored in virtual cloud servers provided by numerous third parties. De-duplication is a technique established in cloud storage for eliminating duplicate copies of repeated data. The storage space is reduced and the capacity of bandwidth is increased in the server using Data De- duplication. It is related to intelligent data compression and single-instance data storage.To take the complexity out of managing the Information Technology infrastructure, the storage outsourcing has become the popular option. The latest techniques to solve the complications of protective and efficient public auditing for dynamic and shared data are still not secure against the collusion that is, the illegal agreement of the cloud storage server and the multiple user repudiation in workable cloud storage. Hence, to prevent the collusion attack in the existing system and to provide an effective global auditing and data integrity, the group user repudiation is performed based on ordered sequence of values commit and group signature is generated with secure hash algorithm. The group user data is encrypted using block ciphers and bilinear transformation. This work also introduces a new approach in which each user holds an independent master key for encryption using convergent keys technique and out sourcing them to the cloud. -
Photos Copied" Box
Our photos have never been as scattered as they are now... Do you know where your photos are? Digital Photo Roundup Checklist www.theswedishorganizer.com Online Storage Edition Let's Play Digital Photo Roundup! Congrats on making the decision to start organizing your digital photos! I know the task can seem daunting, so hopefully this handy checklist will help get your moving in the right direction. LET'S ORGANIZE! To start organizing your digital photos, you must first gather them all into one place, so that you'll be able to sort and edit your collection. Use this checklist to document your family's online storage accounts (i.e. where you have photos saved online), and whether they are copied onto your Master hub (the place where you are saving EVERYTHING). It'll make the gathering process a whole lot easier if you keep a record of what you have already copied and what is still to be done. HERE'S HOW The services in this checklist are categorized, so that you only need to print out what applies to you. If you have an account with the service listed, simply check the "Have Account" box. When you have copied all the photos, check the "Photos Copied" box. Enter your login credentials under the line between the boxes for easy retrieval. If you don't see your favorite service on the list, just add it to one of the blank lines provided after each category. Once you are done, you should find yourself with all your digital images in ONE place, and when you do, check back on the blog for tools to help you with the next step in the organizing process. -
Advanced Data Structures
Advanced Data Structures PETER BRASS City College of New York CAMBRIDGE UNIVERSITY PRESS Cambridge, New York, Melbourne, Madrid, Cape Town, Singapore, São Paulo Cambridge University Press The Edinburgh Building, Cambridge CB2 8RU, UK Published in the United States of America by Cambridge University Press, New York www.cambridge.org Information on this title: www.cambridge.org/9780521880374 © Peter Brass 2008 This publication is in copyright. Subject to statutory exception and to the provision of relevant collective licensing agreements, no reproduction of any part may take place without the written permission of Cambridge University Press. First published in print format 2008 ISBN-13 978-0-511-43685-7 eBook (EBL) ISBN-13 978-0-521-88037-4 hardback Cambridge University Press has no responsibility for the persistence or accuracy of urls for external or third-party internet websites referred to in this publication, and does not guarantee that any content on such websites is, or will remain, accurate or appropriate. Contents Preface page xi 1 Elementary Structures 1 1.1 Stack 1 1.2 Queue 8 1.3 Double-Ended Queue 16 1.4 Dynamical Allocation of Nodes 16 1.5 Shadow Copies of Array-Based Structures 18 2 Search Trees 23 2.1 Two Models of Search Trees 23 2.2 General Properties and Transformations 26 2.3 Height of a Search Tree 29 2.4 Basic Find, Insert, and Delete 31 2.5ReturningfromLeaftoRoot35 2.6 Dealing with Nonunique Keys 37 2.7 Queries for the Keys in an Interval 38 2.8 Building Optimal Search Trees 40 2.9 Converting Trees into Lists 47 2.10 -
Fast As a Shadow, Expressive As a Tree: Hybrid Memory Monitoring for C
Fast as a Shadow, Expressive as a Tree: Hybrid Memory Monitoring for C Nikolai Kosmatov1 with Arvid Jakobsson2, Guillaume Petiot1 and Julien Signoles1 [email protected] [email protected] SASEFOR, November 24, 2015 A.Jakobsson, N.Kosmatov, J.Signoles (CEA) Hybrid Memory Monitoring for C 2015-11-24 1 / 48 Outline Context and motivation Frama-C, a platform for analysis of C code Motivation The memory monitoring library An overview Patricia trie model Shadow memory based model The Hybrid model Design principles Illustrating example Dataflow analysis An overview How it proceeds Evaluation Conclusion and future work A.Jakobsson, N.Kosmatov, J.Signoles (CEA) Hybrid Memory Monitoring for C 2015-11-24 2 / 48 Context and motivation Frama-C, a platform for analysis of C code Outline Context and motivation Frama-C, a platform for analysis of C code Motivation The memory monitoring library An overview Patricia trie model Shadow memory based model The Hybrid model Design principles Illustrating example Dataflow analysis An overview How it proceeds Evaluation Conclusion and future work A.Jakobsson, N.Kosmatov, J.Signoles (CEA) Hybrid Memory Monitoring for C 2015-11-24 3 / 48 Context and motivation Frama-C, a platform for analysis of C code A brief history I 90's: CAVEAT, Hoare logic-based tool for C code at CEA I 2000's: CAVEAT used by Airbus during certification process of the A380 (DO-178 level A qualification) I 2002: Why and its C front-end Caduceus (at INRIA) I 2006: Joint project on a successor to CAVEAT and Caduceus I 2008: First public release of Frama-C (Hydrogen) I Today: Frama-C Sodium (v.11) I Multiple projects around the platform I A growing community of users. -
Full-Text (PDF)
Vol. 10(14), pp. 2043-2050, 23 July, 2015 DOI: 10.5897/ERR2015.2297 Article Number: 6B548DF54295 Educational Research and Reviews ISSN 1990-3839 Copyright © 2015 Author(s) retain the copyright of this article http://www.academicjournals.org/ERR Full Length Research Paper Computer education and instructional technology teacher trainees’ opinions about cloud computing technology Ay şen Karamete Balikesir University, Necatibey Education Faculty, Department of Computer Education and Instructional Technology, Turkey. Received 15 May, 2015; Accepted 13 July, 2015 This study aims to show the present conditions about the usage of cloud computing in the department of Computer Education and Instructional Technology (CEIT) amongst teacher trainees in School of Necatibey Education, Balikesir University, Turkey. In this study, a questionnaire with open-ended questions was used. 17 CEIT teacher trainees participated in the study. The aim of this qualitative study was to determine trends about cloud technology. The cloud technology under study included “Dropbox”, “SpiderOak”, “Google Drive”, “IDrive”, “pCloud”, “OpenDrive”, “Bitcasa”, “OneDrive”, “Tresorit”, “Box” and “Yandex.Disk. The CEIT teacher trainees’ opinions about cloud storage and its purposes; their opinions about types of cloud storage and the level of importance of cloud storage were investigated. The reliability and validity were taken. The advantages and disadvantages of cloud computing were examined. The study found that CEIT teacher trainees’ had used cloud storages such as Dropbox -
Rockjit: Securing Just-In-Time Compilation Using Modular Control-Flow Integrity
RockJIT: Securing Just-In-Time Compilation Using Modular Control-Flow Integrity Ben Niu Gang Tan Lehigh University Lehigh University 19 Memorial Dr West 19 Memorial Dr West Bethlehem, PA, 18015 Bethlehem, PA, 18015 [email protected] [email protected] ABSTRACT For performance, modern managed language implementations Managed languages such as JavaScript are popular. For perfor- adopt Just-In-Time (JIT) compilation. Instead of performing pure mance, modern implementations of managed languages adopt Just- interpretation, a JIT compiler dynamically compiles programs into In-Time (JIT) compilation. The danger to a JIT compiler is that an native code and performs optimization on the fly based on informa- attacker can often control the input program and use it to trigger a tion collected through runtime profiling. JIT compilation in man- vulnerability in the JIT compiler to launch code injection or JIT aged languages is the key to high performance, which is often the spraying attacks. In this paper, we propose a general approach only metric when comparing JIT engines, as seen in the case of called RockJIT to securing JIT compilers through Control-Flow JavaScript. Hereafter, we use the term JITted code for native code Integrity (CFI). RockJIT builds a fine-grained control-flow graph that is dynamically generated by a JIT compiler, and code heap for from the source code of the JIT compiler and dynamically up- memory pages that hold JITted code. dates the control-flow policy when new code is generated on the fly. In terms of security, JIT brings its own set of challenges. First, a Through evaluation on Google’s V8 JavaScript engine, we demon- JIT compiler is large and usually written in C/C++, which lacks strate that RockJIT can enforce strong security on a JIT compiler, memory safety. -
Speculative Separation for Privatization and Reductions
Speculative Separation for Privatization and Reductions Nick P. Johnson Hanjun Kim Prakash Prabhu Ayal Zaksy David I. August Princeton University, Princeton, NJ yIntel Corporation, Haifa, Israel fnpjohnso, hanjunk, pprabhu, [email protected] [email protected] Abstract Memory Layout Static Speculative Automatic parallelization is a promising strategy to improve appli- Speculative LRPD [22] R−LRPD [7] cation performance in the multicore era. However, common pro- Privateer (this work) gramming practices such as the reuse of data structures introduce Dynamic PD [21] artificial constraints that obstruct automatic parallelization. Privati- Polaris [29] ASSA [14] zation relieves these constraints by replicating data structures, thus Static Array Expansion [10] enabling scalable parallelization. Prior privatization schemes are Criterion DSA [31] RSSA [23] limited to arrays and scalar variables because they are sensitive to Privatization Manual Paralax [32] STMs [8, 18] the layout of dynamic data structures. This work presents Privateer, the first fully automatic privatization system to handle dynamic and Figure 1: Privatization Criterion and Memory Layout. recursive data structures, even in languages with unrestricted point- ers. To reduce sensitivity to memory layout, Privateer speculatively separates memory objects. Privateer’s lightweight runtime system contention and relaxes the program dependence structure by repli- validates speculative separation and speculative privatization to en- cating the reused storage locations, producing multiple copies in sure correct parallel execution. Privateer enables automatic paral- memory that support independent, concurrent access. Similarly, re- lelization of general-purpose C/C++ applications, yielding a ge- duction techniques relax ordering constraints on associative, com- omean whole-program speedup of 11.4× over best sequential ex- mutative operators by replacing (or expanding) storage locations. -
Data Protection and Collaboration in Cloud Storage
Technical Report 1210 Charting a Security Landscape in the Clouds: Data Protection and Collaboration in Cloud Storage G. Itkis B.H. Kaiser J.E. Coll W.W. Smith R.K. Cunningham 7 July 2016 Lincoln Laboratory MASSACHUSETTS INSTITUTE OF TECHNOLOGY LEXINGTON, MASSACHUSETTS This material is based on work supported by the Department of Homeland Security under Air Force Contract No. FA8721-05-C-0002 and/or FA8702-15-D-0001. Approved for public release: distribution unlimited. This report is the result of studies performed at Lincoln Laboratory, a federally funded research and development center operated by Massachusetts Institute of Technology. This material is based on work supported by the Department of Homeland Security under Air Force Contract No. FA8721-05- C-0002 and/or FA8702-15-D-0001. Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of Department of Homeland Security. © 2016 MASSACHUSETTS INSTITUTE OF TECHNOLOGY Delivered to the U.S. Government with Unlimited Rights, as defined in DFARS Part 252.227-7013 or 7014 (Feb 2014). Notwithstanding any copyright notice, U.S. Government rights in this work are defined by DFARS 252.227-7013 or DFARS 252.227-7014 as detailed above. Use of this work other than as specifically authorized by the U.S. Government may violate any copyrights that exist in this work. Massachusetts Institute of Technology Lincoln Laboratory Charting a Security Landscape in the Clouds: Data Protection and Collaboration in Cloud Storage G. Itkis B. Kaiser J. Coll W. Smith R. -
Megaupload Indictment.Pdf
GENERAL ALLEGATIONS At all times relevant to this Indictment: 1. KIM DOTCOM, MEGAUPLOAD LIMITED, VESTOR LIMITED, FINN BATATO, JULIUS BENCKO, SVEN ECHTERNACH, MATHIAS ORTMANN, ANDRUS NOMM, and BRAM VAN DER KOLK, the defendants, and others known and unknown to the Grand Jury, were members of the “Mega Conspiracy,” a worldwide criminal organization whose members engaged in criminal copyright infringement and money laundering on a massive scale with estimated harm to copyright holders well in excess of $500,000,000 and reported income in excess of $175,000,000. 2. Megaupload.com is a commercial website and service operated by the Mega Conspiracy that reproduces and distributes copies of popular copyrighted content over the Internet without authorization. Since at least September 2005, Megaupload.com has been used by the defendants and other members and associates of the Mega Conspiracy to willfully reproduce and distribute many millions of infringing copies of copyrighted works, including motion pictures, television programs, musical recordings, electronic books, images, video games, and other computer software. Over the more than five years of its existence, the Mega Conspiracy has aggressively expanded its operations into a large number of related Internet businesses, which are connected directly to, or at least financially dependent upon, the criminal conduct associated with Megaupload.com. 3. Megaupload.com was at one point in its history estimated to be the 13th most frequently visited website on the entire Internet. The site claims to have had more than one billion visitors in its history, more than 180,000,000 registered users to date, an average of 2 50 million daily visits, and to account for approximately four percent of the total traffic on the Internet.