An Overview of the Usage of Default Passwords Brandon Knierem University of New Haven
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RDM Embedded 10-Dataflow-Datasheet
RDMe DataFlow™ Product Data Sheet Raima Database Manager (RDM) Embedded DataFlow™ extension provides additional reliability to our time tested and dependable RDM database engine. In this DataFlow solution we have added functionality that will enable embedded system developers to develop sophisticated applications capable of moving information collected on the smallest devices up to the largest enterprise systems. Overview: In today’s world the need for the flow of information throughout the many levels of an organization is becoming even more essential to the success of a business. Tradition- ally, embedded applications have been closed systems completely isolated from the enterprise infrastructure. Typically, if data from a device is allowed into the enterprise Key New Features: the movement of the data is done via off line batch processing at periodic time Master-Slave Replication intervals. It often takes hours for these batch processes to complete, rendering the information out of date by the time it reaches key decision makers. RDM Embedded 3rd Party Database DataFlow allows for the safe real-time movement of data captured on the shop floor to Replication flow up to the enterprise providing instant actionable information to decision makers. Key Functionality: Key Benefits: Master-Slave Replication Host 1 Host 2 Host 4 Application Reliability Create applications that replicate Application data between different R R Performance e e p p l l i i c c databases on different systems, a a t t i i Efficiency In Memory o o In-Memory n n R Database E E Database e on the same system, in memory p n n l g g i c i i n n Innovation a e e t i and on disk. -
Resume of Dr. Michael J. Bisconti
Table of Contents This file contains, in order: Time Savers Experience Matrix Resume _________________________ 1 Time Savers There are a number of things we can do to save everyone’s time. In addition to resume information there are a number of common questions that employers and recruiters have. Here is an FAQ that addresses these questions. (We may expand this FAQ over time.) Frequently Asked Questions 1099 Multiple Interviewers Severance Pay Contract End Date Multiple Interviews Technical Exam Contract Job Need/Skill Assessment Interview Temporary Vs. Permanent Contract Rate Payment Due Dates U.S. Citizenship Drug Testing Permanent Job W2 Face-to-face Interview Phone Interview Word Resume Job Hunt Progress Salary Are you a U.S. citizen? Yes. Do you have a Word resume? Yes, and I also have an Adobe PDF resume. Do you prefer temporary (contract) or permanent employment? Neither, since, in the end, they are equivalent. Will you take a drug test? 13 drug tests taken and passed. Do you work 1099? Yes, but I give W2 payers preference. Do you work W2? Yes, and I work 1099 as well but I give W2 payers preference. How is your job search going? See 1.2 Job Hunt Progress. What contract rate do you expect? $65 to $85/hr. W2 and see the 2.5 Quick Rates Guide. What salary do you expect? 120k to 130k/yr. and see the 2.5 Quick Rates Guide. When do you expect to be paid? Weekly or biweekly and weekly payers will be given preference. Will you do a face-to-face interview? Yes, but I prefer a Skype or equivalent interview because gas is so expensive and time is so valuable. -
An Overview of the Usage of Default Passwords (Extended Version)
An Overview of the Usage of Default Passwords (extended version) Brandon Knieriem, Xiaolu Zhang, Philip Levine, Frank Breitinger, and Ibrahim Baggili Cyber Forensics Research and Education Group (UNHcFREG) Tagliatela College of Engineering University of New Haven, West Haven CT, 06516, United States fbknie1, [email protected],fXZhang, FBreitinger, [email protected] Summary. The recent Mirai botnet attack demonstrated the danger of using default passwords and showed it is still a major problem in 2017. In this study we investigated several common applications and their pass- word policies. Specifically, we analyzed if these applications: (1) have default passwords or (2) allow the user to set a weak password (i.e., they do not properly enforce a password policy). In order to understand the developer decision to implement default passwords, we raised this question on many online platforms or contacted professionals. Default passwords are still a significant problem. 61% of applications inspected initially used a default or blank password. When changing the password, 58% allowed a blank password, 35% allowed a weak password of 1 char- acter. Key words: Default passwords, applications, usage, security 1 Introduction Security is often disregarded or perceived as optional to the average consumer which can be a drawback. For instance, in October 2016 a large section of the In- ternet came under attack. This attack was perpetuated by approximately 100,000 Internet of Things (IoT) appliances, refrigerators, and microwaves which were compromised and formed the Mirai botnet. Targets of this attack included Twit- ter, reddit and The New York Times all of which shut down for hours. -
RDM Embedded Database Dataflow Paper
BUSINESS WHITE PAPER RDMe dataFlow with Raima Databases A Raima Inc. Business White Paper Published: February, 2010 Author: Paul Johnson Director of Marketing Copyright: Raima Inc. Abstract Today, the need for real-time data throughout the many levels of an organization is growing rapidly. The more current a company’s business intelligence information often determines how successful a business is run. Traditionally, embedded applications have been closed systems. The movement of any data collected on these devices to the company’s enterprise business systems is performed via off line batch processing at periodic intervals. This paper outlines three separate business cases applicable within three key industry market segments: Industrial Automation; Telecommunication; and Aerospace and Defense; where Raima technologies facilitate high speed data management and seamless real-time data flow between embedded devices and corporate enterprise databases. Additionally, this paper will outline (currently available upon request) a demonstration that highlights the use of the RDM embedded databases and dataFlow technologies on real-time embedded computers (devices), desktop and servers platforms. The demonstration relies on Raima technology partners’ technology from Microsoft®, Wind River®, and Green Hills® Software. This article is relative to the following versions of RDM: RDM Embedded: 9.1, 10 RDM Server: 8.2, 8.3 http://www.raima.com BUSINESS WHITEPAPER Table of Contents Introduction ................................................................................................................................................................3 -
Bases De Datos En El Contexto De La Web Semántica
Universitat Oberta de Catalunya BASES DE DATOS EN EL CONTEXTO DE LA WEB SEMÁNTICA Comparativa entre SGBD orientados a la Web Semántica Raul Fernandez-Santa Cruz Jiménez Consultor: Sinuhé Ángel Arroyo Gómez TFC: BASES DE DATOS EN EL CONTEXTO DE LA WEB SEMÁNTICA Raul Fernandez-Santa Cruz Jiménez 2012-2013 © Tabla de contenido 1.1 Objetivo del presente TFC. .............................................................................................4 2. La web semántica ..................................................................................................................5 2.1 Antecedentes .......................................................................................................................5 2.2 Limitaciones de la actual web. ............................................................................................7 2.3 Definición y objetivos de la Web Semántica. .....................................................................8 2.4 Barreras actuales en el desarrollo y avance de la Web Semántica. ...................................14 3. SGBD Semánticos ...............................................................................................................16 3.1 ¿Qué son y cuáles son los más aptos para la Web Semántica? .........................................16 3.2. Elección de SGBD nativa vs SGBD habilitado. ..............................................................18 3.3 Almacenamiento, manipulación y recuperación SGBD semánticos. ................................19 3.3.1 Almacenamiento de conocimiento -
Mitsubishi Alliance & Market Development Press Release
PRESS RELEASE e-F@ctory Alliance partner provides embedded database for Mitsubishi iQ platform C Controller CPU Birdstep Technology’s Raima Division is a new member of the Mitsubishi Electric e-F@ctory Alliance partnership ecosystem providing embedded database technology to run on the iQ Platform’s C Controller CPU. Raima’s RDM Embedded technology provides an industrial grade database platform that allows data to be stored, managed, and accessed directly within the controller rather than via a higher-level PC database, offering huge potential for increased performance and easier system integration. Raima is the leading provider of high performance, high availability database solutions for critical real-time applications. With its RDM Embedded database technology, Raima provides a network database on a local device which has a predictable performance, unlike traditional relational databases whose performance is negatively affected at an exponential rate as the volume of data being managed increases. RDM Embedded has been successfully deployed in millions of business critical applications over the past 25 years, providing users with safe and reliable data management solutions for today’s complex interconnected devices and applications. Joining the Mitsubishi Electric e-F@ctory Alliance partnership ecosystem, Raima has released a version of RDM Embedded that runs on the C Controller CPU. Users can take advantage of both the real-time operating system, along with the C programming environment of the CPU, to customize RDM Embedded to their specific application requirements. Data can be stored in memory or on-disk on the optional compact flash memory card. Raima also provides a web-based interface through their microHTTP server, as well as a powerful replication server that allows data to be moved to and from Raima’s RDM Server database or any other 3rd party data store (such as a SCADA systems, ERP systems, enterprise database, etc). -
Kofax Readsoft Invoices Install and Configure SQL Server Version: 6.0.2
Kofax ReadSoft Invoices Install and Configure SQL Server Version: 6.0.2 Date: 2019-07-04 Legal Notice © 2019 Kofax. All rights reserved. Kofax is a trademark of Kofax, Inc., registered in the U.S. and/or other countries. All other trademarks are the property of their respective owners. No part of this publication may be reproduced, stored, or transmitted in any form without the prior written permission of Kofax. 2 Table of Contents Legal Notice...................................................................................................................................................2 Chapter 1: Before installation....................................................................................................................4 Knowledge of your Windows server and SQL Server is required..................................................... 4 Requirements......................................................................................................................................4 Chapter 2: Recommendations when installing Microsoft SQL Server with Kofax products............... 6 Additional things to consider.............................................................................................................. 6 Chapter 3: Setting up SQL Server and SQL Server Express (2008, 2008 R2)...................................... 7 Chapter 4: Setting up SQL Server 2012 SP1/2014/2016......................................................................... 9 Chapter 5: Configuring SQL Server........................................................................................................11 -
Compass Server 3.0 Developer's Guide
World Wide Web security URLmerchant systemChat community system server navigator TCP/IP HTML Publishing Personal Compass Server 3.0 Developer’s Guide Inter ww Proxy SSL Mozilla IStore Publishing Internet secure sockets layer mail encryption HTMLhttp://www comp.syselectronic commerce JavaScript directory server news certificate Proxy Netscape Communications Corporation (“Netscape”) and its licensors retain all ownership rights to the software programs offered by Netscape (referred to herein as “Software”) and related documentation. Use of the Software and related documentation is governed by the license agreement accompanying the Software and applicable copyright law. Your right to copy this documentation is limited by copyright law. Making unauthorized copies, adaptations, or compilation works is prohibited and constitutes a punishable violation of the law. Netscape may revise this documentation from time to time without notice. THIS DOCUMENTATION IS PROVIDED “AS IS” WITHOUT WARRANTY OF ANY KIND. IN NO EVENT SHALL NETSCAPE BE LIABLE FOR ANY LOSS OF PROFITS, LOSS OF BUSINESS, LOSS OF USE OR DATA, INTERRUPTION OF BUSINESS, OR FOR INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES OF ANY KIND, ARISING FROM ANY ERROR IN THIS DOCUMENTATION. The Software and documentation are copyright © 1997 Netscape Communications Corporation. All rights reserved. The Software includes encryption software from RSA Data Security, Inc. Copyright © 1994, 1995 RSA Data Security, Inc. All rights reserved. Portions of the Software include technology used under license from Verity, Inc. and are copyrighted. All rights reserved. The Harvest software portion of the Software was developed by the Internet Research Task Force Research Group on Resource Discovery (IRTF-RD). Copyright © 1994-1995 Mic Bowman of Transarc Corporation, Peter Danzig of the University of Southern California, Darren R. -
Kofax Readsoft Invoices Install and Configure SQL Server Version: 6.0.3
Kofax ReadSoft Invoices Install and Configure SQL Server Version: 6.0.3 Date: 2020-04-23 Legal Notice © 2020 Kofax. All rights reserved. Kofax is a trademark of Kofax, Inc., registered in the U.S. and/or other countries. All other trademarks are the property of their respective owners. No part of this publication may be reproduced, stored, or transmitted in any form without the prior written permission of Kofax. 2 Table of Contents Legal Notice...................................................................................................................................................2 Chapter 1: Before installation....................................................................................................................4 Knowledge of your Windows server and SQL Server is required..................................................... 4 Requirements......................................................................................................................................4 Chapter 2: Recommendations when installing Microsoft SQL Server with Kofax products............... 6 Additional things to consider.............................................................................................................. 6 Chapter 3: Setting up SQL Server and SQL Server Express (2008, 2008 R2)...................................... 7 Chapter 4: Setting up SQL Server 2012 SP1/2014/2016/2017.................................................................9 Chapter 5: Configuring SQL Server........................................................................................................11 -
FORMS, INVOICES, REPORTER Installing and Configuring Microsoft SQL Server Version: All
FORMS, INVOICES, REPORTER Installing and Configuring Microsoft SQL Server Version: All Written by: Product Knowledge, R&D Date: March 2017 © 2017 Lexmark International Technology, S.A. All rights reserved. Lexmark is a trademark of Lexmark International Technology, S.A., or its subsidiaries, registered in the U.S. and/or other countries. All other trademarks are the property of their respective owners. No part of this publication may be reproduced, stored, or transmitted in any form without the prior written permission of Lexmark. Installing and Configuring Microsoft SQL Server Table of Contents Overview ...................................................................................................................................................... 4 Before installation ...................................................................................................................................... 4 Requirements ............................................................................................................................................ 4 Recommendations when installing SQL with ReadSoft products ............................................................. 5 Setting up SQL Server and SQL Server Express (2008, 2008 R2) ......................................................... 6 Setting up SQL Server 2012 SP1 or SQL Server 2014 ............................................................................. 8 Configuring SQL Server ............................................................................................................................ -
Optimizing RDM Server Performance
TECHNICAL WHITE PAPER Optimizing RDM Server Performance A Raima Inc. Technical Whitepaper Published: August, 2008 Author: Paul Johnson Director of Marketing Copyright: Raima Inc., All rights reserved Abstract This article is a first in a series that will discuss ways that users can boost the performance of their RDM-based application. For this article, the topic covers suggested ways to modify the initialization parameters, achieving higher performance without having to modify your application code. This article is relative to the following versions of RDM: RDM Server: 6.0, 6.1, 7.0, 8.0, and 8.1 http://www.raima.com Technical White Paper Contents Abstract ......................................................................................................................................................................1 Part One: Runtime Ini Settings ...................................................................................................................................4 Background .............................................................................................................................................................4 Application Design ..............................................................................................................................................4 Application Architecture.....................................................................................................................................4 Database Design .................................................................................................................................................4 -
A General Temporal Data Model and the Structured Population Event History Register
A General Temporal Data Model and the Structured Population Event History Register Samuel J. Clark* Abstract Longitudinal projects collect, store and manipulate large amounts of data that describe the histories of individual people, households and other units of analysis. These are temporal data that often describe inter-related histories, and consequently the structure of such data is complex and managing them can be difficult. Several existing data models successfully address this challenge but with significantly different solutions, and as a result, data stored using these different data models are hard to compare or merge. Moreover when ongoing projects use different data models, it is difficult to design an investigation that utilizes or collects data from more than one project because their individual data models are largely incompatible. Multi-site longitudinal investigations including large scale vaccine and behavioral intervention trials are and will become more common in the future making it an urgent matter to develop a standard temporal framework to guide the storage and manipulation of complex temporal data describing the histories of people (and households and other aggregations of people) living in multiple populations. This work begins to address this challenge by presenting 1) an abstract temporal data model that can represent an arbitrary range of inter-related temporal trajectories – the General Temporal Data Model or GTDM, 2) a relational database implementation of the GTDM that is able to store an arbitrary range of inter-related temporal trajectories with a single static relational schema – the Structured Population Event History Register or SPEHR, and 3) a relational database schema based on SPEHR that can store the contents of many SPHER-based databases allowing data from different longitudinal projects to be easily merged and managed together.