detection and prevention

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Published By: Viavi Solutions     Published Date: Jan 04, 2017
The right Network Performance Monitoring and Diagnostics (NPMD) solution can help IT operations deliver superior performance for users. When incorporated into your IT security initiatives, deep packet inspection can strengthen your existing antivirus software, Intrusion Detection System (IDS), and Data Loss Prevention (DLP) defenses.
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Viavi Solutions
Published By: AirDefense     Published Date: Apr 24, 2007
This white paper will explore what security challenges wireless networks present, suggest best practices to ensure Wireless LAN security, and demonstrate how AirDefense Enterprise, a Wireless Intrusion Detection and Prevention System, can help you define, monitor and enforce your wireless security policy.
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best practices, sox, sarbanes-oxley, sarbanes oxley, sarbox, compliance, wireless security, wlan, wlan security, ids, intrusion prevention, intrusion detection, security policy, wireless security policy, airdefense
    
AirDefense
Published By: Arbor     Published Date: Sep 20, 2013
In this white paper, John Pescatore of SANS Institute explores how DDoS is used as part of advanced targeted attacks (ATAs) and describes how DDoS detection and prevention tools and techniques can be used against ATAs as well. Today’s DDoS attacks, as damaging as they are, sometimes mask even more threatening and dangerous advanced targeted threats. The good news is that some of the same tools that can detect the footprints of DDoS attacks can also find the telltale signs of ATAs. To be successful, though, enterprises need to coordinate their use of both types of logs and adjust their monitoring parameters correctly. They must also eliminate operational gaps, such as unclear lines of security authority, and limit the use of managed security services that can deprive enterprise security managers of the data they need to detect and stop DDoS attacks and ATAs.
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distributed denial of services, ddos attack, ddos detection, ddos mitigation, security, advanced targeted attacks, mitigation, detection
    
Arbor
Published By: Intel Security     Published Date: Jan 20, 2015
This book provides an overview of network security in general, and explains how cybercriminals can use hidden or currently undetectable methods to penetrate protected network systems. Advanced evasion techniques (AETs) bypass current common network security solutions. They can transport any attack or exploit through network security devices and firewalls, next generation firewalls, intrusion detection and prevention systems, and even routers doing deep packet inspection. In this book you’ll find out all about AETs, and get useful pointers and advice to help you secure your organization. If you’re working in government, the military, banking, industry, e-commerce or with other critical infrastructures, read this book to find out what you’re up against and how to better protect against advanced evasions.
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next generation firewall, intrusion prevention systems, firewall, contextual security, advanced evasion detection, advanced evasion techniques, aet
    
Intel Security
Published By: Datastax     Published Date: Dec 27, 2018
The world is moving at an increasingly accelerated pace. In this new Right-Now Economy, the rampant spread of payments fraud remains one of the biggest challenges for e-commerce and financial institutions. The worldwide e-commerce market was valued at $2.3 trillion for 2017, and 2018 should see even more growth, and along with it, more fraud. In the US alone, the cost of e-commerce fraud rose from $10 billion in 2014 to roughly $19 billion in 2018.
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Datastax
Published By: Sift     Published Date: Jul 12, 2019
"As online fraud detection grows in complexity and demand, what qualities should security and risk management leaders look out for in a solution? Get key recommendations for navigating the online fraud detection market from Gartner Research. READ THIS GUIDE TO FIND OUT: Where the online fraud detection market is heading A list of vendors in the online fraud detection space, and their capabilities Recommendation for how to incorporate AI and machine learning into your fraud prevention approach "
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Sift
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