Riordan Manufacturing has asked our firm, LTB and Associates, to develop a web-based plan to be used as a Business-to-Business web site in order to purchase materials from their vendors. We have examined Riordan’s products and business systems, interviewed Riordan’s employees, and have determined the best course of action to implement the plan. Riordan Manufacturing is a plastics manufacturer based in several locations across the world. With three plants based in the continental US, which are
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Policies & Implementation Issues IS415 System Forensics Investigation & Response IS416 Securing Windows Platforms & Applications IS418 Securing Linux Platforms & Applications IS421 Legal & Security Issues IS423 Securing Windows Platforms & Applications 300 Level IS305 Managing Risk in Information Systems IS308 Security Strategies for Web Applications & Social Networking IS316 Fundamentals of Network Security Firewalls & VPNs IS317 Hacker Techniques Tools & Incident
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which insurgency could develop. Counter-terrorism includes both the detection of potential acts and the response to related events. Anti-terrorism versus counter-terrorism Further information: Detentions following the September 11, 2001 Terrorist Attack The concept of anti-terrorism emerges from a thorough examining of the concept of terrorism as well as an attempt to understand and articulate what constitutes terrorism in Western terms. In military contexts, terrorism is a tactic, not an ideology
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SECURING WI-FI ROGUE ACESS WITHIN AN ENTERPRISE SETTING Securing Wi-Fi Rogue Access within an Enterprise Setting Daniel Joel Clark A Capstone Presented to the Information Technology College Faculty of Western Governors University in Partial Fulfillment of the Requirements for the Degree Master of Science in Information Security Assurance January 9, 2014 1 SECURING WI-FI ROGUE ACESS WITHIN AN ENTERPRISE SETTING 2 A1 - Abstract Since 1999 wireless devices have become a necessity
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computer security process of preventing and detecting unauthorized use of computers. I will also discuss: A. The prevention measures (do’s and don’ts) to help you stop unauthorized users (also known as “intruders”) from accessing any part of your computer system. B. Detections methods that help you to determine whether or not someone attempted to break into your system; a. If an attack was successful b. If so, what they may have done. Computer Security Protecting Your Computer System Do’s
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THREAT MODELING AND ITS USAGE IN MITIGATING SECURITY THREATS IN AN APPLICATION Thesis Submitted in partial fulfillment of the requirements for the degree of MASTER OF TECHNOLOGY in COMPUTER SCIENCE & ENGINEERING - INFORMATION SECURITY by EBENEZER JANGAM (07IS02F) DEPARTMENT OF COMPUTER ENGINEERING NATIONAL INSTITUTE OF TECHNOLOGY KARNATAKA SURATHKAL, MANGALORE-575025 JULY, 2009 Dedicated To My Family, Brothers & Suraksha Group Members DECLARATION I hereby declare
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International Journal on New Computer Architectures and Their Applications (IJNCAA) 2(1): 127-137 The Society of Digital Information and Wireless Communications, 2012 (ISSN: 2220-9085) Cyber Forensics: Computer Security and Incident Response Virginiah Sekgwathe1, Mohammad Talib2 1 Directorate on Corruption and Economic Crime, Gaborone, BOTSWANA veesek@gmail.com 2 Department of Computer Science, University of Botswana, BOTSWANA talib@mopipi.ub.bw ABSTRACT The intensification of Information
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State of North Carolina Statewide Information Security Manual Prepared by the Enterprise Security and Risk Management Office Publication Date: April 20, 2012 INTRODUCTION FOR STATEWIDE INFORMATION SECURITY MANUAL ...... 1 GUIDANCE FOR AGENCIES .............................................................................. 1 CHAPTER 1 – CLASSIFYING INFORMATION AND DATA ................................ 2 CHAPTER 2 – CONTROLLING ACCESS TO INFORMATION AND SYSTEMS. 7 CHAPTER 3 – PROCESSING INFORMATION
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Mining Algorithms and Statistical Analysis, and show how they lead to increased accuracy in the detection of fraud by at least 78% in our reference dataset. We also discuss how a combination of these strategies can be embedded in a Stream-based application to detect fraud in real-time. From this perspective, our experiments lead to an average processing time of 111,702ms per transaction, while strategies to further improve the performance are discussed. Keywords: Fraud Detection, Stream Computing
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and consider some of the Critical Controls that could have been used to both prevent this breach and mitigate losses. From what is known about the Target breach, there were multiple factors that led to data loss: vendors were subject to phishing attacks, network segregation was lacking, point of sale systems were vulnerable to memory scraping malware and detection strategies employed by Target failed. A possible solution for preventing and mitigating similar breaches using a defense in depth model
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