Cloudmark Livres blancs *en Anglais

BCP for Near Term SMTP Deployments in IPv6 Networks

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As unallocated IPv4 address space approaches exhaustion, IPv6 deployment becomes more critical for fixed line operators, mobile operators, and enterprises alike. Messaging industry understanding of how IPv6 impacts anti-abuse mechanisms is on the increase, but requires a broader acceptance of some of the risks involved with IPv6 connectivity and associated transition and translation technologies. | Livre blanc
The Definitive Guide to SMS Spam

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Individuals across the globe rely on their mobile devices as a readily available and accessible communications channel, keeping them in touch with friends, family and colleagues. However, mobile users may take for granted the ease and convenience of this service, particularly when it comes to sending and receiving SMS and MMS messages. The inherent trust consumers have for this channel and their mobile devices means that when receiving messages, they may not think twice about the source or sender, believing them to be 100% legitimate. | Livre blanc
Applying Collaborative AntiSpam Techniques to AntiVirus Problem

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One of the most effective techniques available for combating spam is the widespread application of collaborative filtering, where members of a community identify spam messages. We present data and analysis of our success in applying a collaborative filter, originally designed for anti-spam, to the anti-virus problem. We show that not only is a collaborative filter effective for filtering viruses, but also that the community begins filtering the virus within minutes of its initial detection-and with an extremely low false positive rate. | Livre blanc
Cloudmark's Unique Approach to Phishing

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Conventional anti-virus software relies on a staff of researchers to isolate and analyze viruses, and then write and test rules to block them. This process can take up to 24 hours and often blindly blocks many legitimate messages with attached executable code. In contrast, Cloudmark uses a fingerprinting algorithm to identify each incoming message, combined with a reputation-based, trusted community of users to accurately identify malicious viruses in real-time. Using the Cloudmark Trust Evaluation System (TES), Cloudmark is able to corroborate reports from the Cloudmark Global Threat Network. Cloudmark's virus fingerprinting algorithm automates the time-intensive 'reverse engineering' analysis of conventional technologies allowing its system to identify and stop new worms and virus strains in zero-hours. | Livre blanc
How Collaborative Filtering Can Stop Future Forms of Messaging Abuse

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Conventional anti-virus software relies on a staff of researchers to laboriously isolate and analyze viruses, write signatures, and distribute rules to block them. This process can take up to 24 hours and often blindly blocks many legitimate messages with attached executable code. In contrast, Cloudmark uses automatic fingerprinting algorithms in conjunction with a reputation-based community of trusted reporters to identify and stop viruses in real time. The Cloudmark technology is language-agnostic, format-agnostic, representation-agnostic, and protocol-agnostic, making it particularly suited to combating all forms of messaging abuse. | Livre blanc
Mobile Broadband Solutions Overview

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Mobile Broadband adoption is experiencing rapid growth worldwide. With this growth comes increased demands and mobile broadband providers face greater challenges with messaging threats. Cloudmark's unique solution offers preventative layers of protection to address outbound spam and threats. With its combination of best-in-class content and message filters, and its intelligent throttles and protocol filters, Cloudmark minimizes the risk of loss and network burden to mobile operators while maximizing profits. | Livre blanc
Mobile Messaging Threats and Requirements

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Mobile messaging generated 130 billion USD in worldwide revenues in 2008 and this figure continues to grow rapidly. As subscribers increasingly rely on their mobile phones for everyday communications, mobile applications and financial transactions, they become an attractive and lucrative target for attackers.Mobile messaging threats affect the entire mobile ecosystem, causing significant costs and headaches to both operators and subscribers. | Livre blanc
Reputation Based Approach for Efficient Filtration of Spam

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In this paper, we describe the collaborative, reputation-based approach to fighting spam that has been developed by Cloudmark. Two core components of our technology are described in depth, namely the Global Threat Network and the Trust Evaluation System. The Global Threat Network rapidly gathers and correlates reports of suspect messages from millions of globally-distributed honeypots, customers, and various other sensors. The Cloudmark Trust Evaluation System (TES) analyzes the reports, assigns a reputation to the suspect messages based upon the reputation of the reporters, and then determines a new reputation for each reporter based upon their historical performance at correctly identifying unwanted content. Because the reputation-based collaborative system does not draw blanket conclusions about terms, hosts, or people, this approach reduces false positives and false criticals, while simultaneously decreasing administration costs. | Livre blanc
Taxonomy of Current and Potential Mobile Threats

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Emerging classes of messaging abuse in the mobile environment have led to neologisms like 'smishing,' or SMS phishing. Are these mobile threats real, or are they simply media-constructed FUDD that ultimately distracts security managers from more imminent and damaging threats? This paper provides a broad consideration of all potential messaging threats that may confront wireless operators and breaks them down into two broad categories: (1) wireline-to-wireless threats and (2) wireless-specific threats. These two threat types are considered individually due to technical and economic reasons, which play key roles in how likely they are to proliferate in the wireless environment and what are the appropriate methods to stop them. | Livre blanc
The Economy of Phishing

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In order to develop effective strategies and solutions to combat the phishing problem, businesses need to understand the infrastructure in which phishing economies thrive. Cloudmark has conducted extensive research to uncover phishing network. The result is a sociological and economic analysis of phishers based on data collected from 3.9 million phishing email messages, 220,000 messages from 13,000 chat rooms, and 48,000 users that were spread across six chat networks and 4,400 compromised hosts used in botnets. This paper presents these research results offering deep insight into the behavior of this criminal subculture. | Livre blanc
Zero-Hour, Real Time Computer Virus Defense Through Collaborative Filtering

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Conventional anti-virus software relies on a staff of researchers to isolate and analyze viruses, and then write and test rules to block them. This process can take up to 24 hours and often blindly blocks many legitimate messages with attached executable code. In contrast, Cloudmark uses a fingerprinting algorithm to identify each incoming message, combined with a reputation-based, trusted community of users to accurately identify malicious viruses in real-time. Using the Cloudmark Trust Evaluation System (TES), Cloudmark is able to corroborate reports from the Cloudmark Global Threat Network. Cloudmark's virus fingerprinting algorithm automates the time-intensive 'reverse engineering' analysis of conventional technologies allowing its system to identify and stop new worms and virus strains in zero-hours. | Livre blanc

Pour en savoir plus sur les produits Cloudmark: Cloudmark DesktopOne; Cloudmark Authority

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Cloudmark Livres blancs *en Anglais