Centralized Spam Over Internet Telephony (SPIT) Control on Voip
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Trendmicro™ Hosted Email Security
TrendMicro™ Hosted Email Security Best Practice Guide Trend Micro Incorporated reserves the right to make changes to this document and to the products described herein without notice. The names of companies, products, people, characters, and/or data mentioned herein are fictitious and are in no way intended to represent any real individual, company, product, or event, unless otherwise noted. Complying with all applicable copyright laws is the responsibility of the user. Copyright © 2016 Trend Micro Incorporated. All rights reserved. Trend Micro, the Trend Micro t-ball logo, and TrendLabs are trademarks or registered trademarks of Trend Micro, Incorporated. All other brand and product names may be trademarks or registered trademarks of their respective companies or organizations. No part of this publication may be reproduced, photocopied, stored in a retrieval system, or transmitted without the express prior written consent of Trend Micro Incorporated. Authors : Michael Mortiz, Jefferson Gonzaga Editorial : Jason Zhang Released : June 2016 Table of Contents 1 Best Practice Configurations ................................................................................................................................. 8 1.1 Activating a domain ....................................................................................................................................... 8 1.2 Adding Approved/Blocked Sender ................................................................................................................ 8 1.3 HES order -
Towards Mitigating Unwanted Calls in Voice Over IP
FACULDADE DE ENGENHARIA DA UNIVERSIDADE DO PORTO Towards Mitigating Unwanted Calls in Voice Over IP Muhammad Ajmal Azad Programa Doutoral em Engenharia Electrotécnica e de Computadores Supervisor: Ricardo Santos Morla June 2016 c Muhammad Ajmal Azad, 2016 Towards Mitigating Unwanted Calls in Voice Over IP Muhammad Ajmal Azad Programa Doutoral em Engenharia Electrotécnica e de Computadores June 2016 I Dedicate This Thesis To My Parents and Wife For their endless love, support and encouragement. i Acknowledgments First and foremost, I would like to express my special gratitude and thanks to my advisor, Professor Dr. Ricardo Santos Morla for his continuous support, supervision and time. His suggestions, advice and criticism on my work have helped me a lot from finding a problem, design a solution and analyzing the solution. I am forever grateful to Dr. Morla for mentoring and helping me throughout the course of my doctoral research.. I would like to thanks my friends Dr. Arif Ur Rahman and Dr. Farhan Riaz for helping in understanding various aspects of research at the start of my Ph.D, Asif Mohammad for helping me in coding with Java, and Bilal Hussain for constructive debate other than academic research and continuous encouragements in the last three years. Of course acknowledgments are incomplete without thanking my parents, family members and loved ones. I am very thankful to my parents for spending on my education despite limited resources. They taught me about hard work, make me to study whenever I run away, encourage me to achieve the goals, self-respect and always encourage me for doing what i want. -
Address Munging: the Practice of Disguising, Or Munging, an E-Mail Address to Prevent It Being Automatically Collected and Used
Address Munging: the practice of disguising, or munging, an e-mail address to prevent it being automatically collected and used as a target for people and organizations that send unsolicited bulk e-mail address. Adware: or advertising-supported software is any software package which automatically plays, displays, or downloads advertising material to a computer after the software is installed on it or while the application is being used. Some types of adware are also spyware and can be classified as privacy-invasive software. Adware is software designed to force pre-chosen ads to display on your system. Some adware is designed to be malicious and will pop up ads with such speed and frequency that they seem to be taking over everything, slowing down your system and tying up all of your system resources. When adware is coupled with spyware, it can be a frustrating ride, to say the least. Backdoor: in a computer system (or cryptosystem or algorithm) is a method of bypassing normal authentication, securing remote access to a computer, obtaining access to plaintext, and so on, while attempting to remain undetected. The backdoor may take the form of an installed program (e.g., Back Orifice), or could be a modification to an existing program or hardware device. A back door is a point of entry that circumvents normal security and can be used by a cracker to access a network or computer system. Usually back doors are created by system developers as shortcuts to speed access through security during the development stage and then are overlooked and never properly removed during final implementation. -
Technical Means to Combat Spam in the Voip Service
Section Four Technical Means to Combat Spam in the VoIP Service Spam refers in general to any unsolicited communication. Spam will also become one of the serious problems for multimedia communication in the near future. Spam in multimedia communication is referred to as SIP spam or SPIT (Spam over Internet Telephony), where SIP is used to manage the session between two end users. In this paper, the types of SIP spam are introduced and various pragmatic solutions applicable to combat the SIP spams are described including content filtering, white list, black list, and the reputation system. Finally, the detailed operation and principles for the authenticated identity in SIP header, which is a prerequisite for the solutions above, are also described. The possible solutions to combat the SIP spasm have been listed and the background technology to those solutions, an authenticated identity between the domains, is also introduced. Heung Youl Youm (PhD) Professor, Soonchunhyang University, South Korea Rapporteur, Q.9/SG17, ITU-T [email protected] 1 Introduction IP telephony is known as a technology that allows standard telephone voice signals to be compressed into data packets for transmission over the Internet or other IP network. The protocols used in carrying the voice signals over the IP networks are commonly referred to as Voice over IP (VoIP). The spam problem in email and instant messaging (IM) makes the email or the IM users to trust less of these tools and consequently reduce their usage. While the security mechanisms for the IP telephony are being studied, the spam problem in VoIP has not been studied extensively yet. -
A Survey of Learning-Based Techniques of Email Spam Filtering
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Unitn-eprints Research A SURVEY OF LEARNING-BASED TECHNIQUES OF EMAIL SPAM FILTERING Enrico Blanzieri and Anton Bryl January 2008 (Updated version) Technical Report # DIT-06-056 A Survey of Learning-Based Techniques of Email Spam Filtering Enrico Blanzieri, University of Trento, Italy, and Anton Bryl University of Trento, Italy, Create-Net, Italy [email protected] January 11, 2008 Abstract vertising pornography, pyramid schemes, etc. [68]. The total worldwide financial losses caused by spam Email spam is one of the major problems of the to- in 2005 were estimated by Ferris Research Analyzer day’s Internet, bringing financial damage to compa- Information Service at $50 billion [31]. nies and annoying individual users. Among the ap- Lately, Goodman et al. [39] presented an overview proaches developed to stop spam, filtering is an im- of the field of anti-spam protection, giving a brief portant and popular one. In this paper we give an history of spam and anti-spam and describing major overview of the state of the art of machine learn- directions of development. They are quite optimistic ing applications for spam filtering, and of the ways in their conclusions, indicating learning-based spam of evaluation and comparison of different filtering recognition, together with anti-spoofing technologies methods. We also provide a brief description of and economic approaches, as one of the measures other branches of anti-spam protection and discuss which together will probably lead to the final victory the use of various approaches in commercial and non- over email spammers in the near future. -
Detecting Phishing in Emails Srikanth Palla and Ram Dantu, University of North Texas, Denton, TX
1 Detecting Phishing in Emails Srikanth Palla and Ram Dantu, University of North Texas, Denton, TX announcements. The third category of spammers is called Abstract — Phishing attackers misrepresent the true sender and phishers. Phishing attackers misrepresent the true sender and steal consumers' personal identity data and financial account steal the consumers' personal identity data and financial credentials. Though phishers try to counterfeit the websites in account credentials. These spammers send spoofed emails and the content, they do not have access to all the fields in the lead consumers to counterfeit websites designed to trick email header. Our classification method is based on the recipients into divulging financial data such as credit card information provided in the email header (rather than the numbers, account usernames, passwords and social security content of the email). We believe the phisher cannot modify numbers. By hijacking brand names of banks, e-retailers and the complete header, though he can forge certain fields. We credit card companies, phishers often convince the recipients based our classification on three kinds of analyses on the to respond. Legislation can not help since a majority number header: DNS-based header analysis, Social Network analysis of phishers do not belong to the United States. In this paper we and Wantedness analysis. In the DNS-based header analysis, present a new method for recognizing phishing attacks so that we classified the corpus into 8 buckets and used social the consumers can be vigilant and not fall prey to these network analysis to further reduce the false positives. We counterfeit websites. Based on the relation between credibility introduced a concept of wantedness and credibility, and and phishing frequency, we classify the phishers into i) derived equations to calculate the wantedness values of the Prospective Phishers ii) Suspects iii) Recent Phishers iv) Serial email senders. -
Efficient Spam Filtering System Based on Smart Cooperative Subjective and Objective Methods*
Int. J. Communications, Network and System Sciences, 2013, 6, 88-99 http://dx.doi.org/10.4236/ijcns.2013.62011 Published Online February 2013 (http://www.scirp.org/journal/ijcns) Efficient Spam Filtering System Based on Smart * Cooperative Subjective and Objective Methods Samir A. Elsagheer Mohamed1,2 1College of Computer, Qassim University, Qassim, KSA 2Electrical Engineering Department, Faculty of Engineering, Aswan University, Aswan, Egypt Email: [email protected], [email protected] Received September 17, 2012; revised January 16, 2013; accepted January 25, 2013 ABSTRACT Most of the spam filtering techniques are based on objective methods such as the content filtering and DNS/reverse DNS checks. Recently, some cooperative subjective spam filtering techniques are proposed. Objective methods suffer from the false positive and false negative classification. Objective methods based on the content filtering are time con- suming and resource demanding. They are inaccurate and require continuous update to cope with newly invented spammer’s tricks. On the other side, the existing subjective proposals have some drawbacks like the attacks from mali- cious users that make them unreliable and the privacy. In this paper, we propose an efficient spam filtering system that is based on a smart cooperative subjective technique for content filtering in addition to the fastest and the most reliable non-content-based objective methods. The system combines several applications. The first is a web-based system that we have developed based on the proposed technique. A server application having extra features suitable for the enter- prises and closed work groups is a second part of the system. Another part is a set of standard web services that allow any existing email server or email client to interact with the system. -
Account Administrator's Guide
ePrism Email Security Account Administrator’s Guide - V10.4 4225 Executive Sq, Ste 1600 Give us a call: Send us an email: For more info, visit us at: La Jolla, CA 92037-1487 1-800-782-3762 [email protected] www.edgewave.com © 2001—2016 EdgeWave. All rights reserved. The EdgeWave logo is a trademark of EdgeWave Inc. All other trademarks and registered trademarks are hereby acknowledged. Microsoft and Windows are either registered trademarks or trademarks of Microsoft Corporation in the United States and/or other countries. Other product and company names mentioned herein may be the trademarks of their respective owners. The Email Security software and its documentation are copyrighted materials. Law prohibits making unauthorized copies. No part of this software or documentation may be reproduced, transmitted, transcribed, stored in a retrieval system, or translated into another language without prior permission of EdgeWave. 10.4 Contents Chapter 1 Overview 1 Overview of Services 1 Email Filtering (EMF) 2 Archive 3 Continuity 3 Encryption 4 Data Loss Protection (DLP) 4 Personal Health Information 4 Personal Financial Information 5 Document Conventions 6 Other Conventions 6 Supported Browsers 7 Reporting Spam to EdgeWave 7 Contacting Us 7 Additional Resources 7 Chapter 2 Portal Overview 8 Navigation Tree 9 Work Area 10 Navigation Icons 10 Getting Started 11 Logging into the portal for the first time 11 Logging into the portal after registration 12 Changing Your Personal Information 12 Configuring Accounts 12 Chapter 3 EdgeWave Administrator -
A Survey on Voip Security Attacks and Their Proposed Solutions
International Journal of Application or Innovation in Engineering & Management (IJAIEM) Web Site: www.ijaiem.org Email: [email protected], [email protected] Volume 2, Issue 3, March 2013 ISSN 2319 - 4847 A Survey on VoIP Security Attacks and their Proposed Solutions Jyoti Shukla1, Bhavana Sahni2 1Assistant Professor, Amity University 2M.tech Student, Amity University ABSTRACT VoIP is a communication protocol which is being widely used and voice calls are transmitted over an IP network such as internet instead of Public Switched Telephone Networks (PSTN). VoIP converts voice into digital signal that travels over the internet and the audio output device makes the digital to audio conversation at the receiver side. In today's time people are using these technologies in their daily life, for communication over the internet but they are not aware with the security issues on VoIP conversation. There are different types of security issues with VoIP conversation. The main focus on this paper is to introduce different security attacks and defense approaches for security attacks on VoIP conversation. Keywords: VoIP, Security Attacks, Defense Approaches. 1. INTRODUCTION Voice over internet protocol (VoIP) is routing of voice conversation over the internet or IP based network. The flow of voice data over the internet in the VoIP system firstly human voice must be converted into digitized form. Then it is compressed to save bandwidth and optionally encryption can also be used to protect the conversation from sniffing. Then the voice samples are inserted into data packets to be carried out over the IP networks. Real- time Transport Protocol which defines the standardized packet format for delivering the audio or video over the internet, RTP packet have header field to hold the data and it is needed to correctly re-assemble packet into voice signal on the other end. -
Characterizing Robocalls Through Audio and Metadata Analysis
Who’s Calling? Characterizing Robocalls through Audio and Metadata Analysis Sathvik Prasad, Elijah Bouma-Sims, Athishay Kiran Mylappan, and Bradley Reaves, North Carolina State University https://www.usenix.org/conference/usenixsecurity20/presentation/prasad This paper is included in the Proceedings of the 29th USENIX Security Symposium. August 12–14, 2020 978-1-939133-17-5 Open access to the Proceedings of the 29th USENIX Security Symposium is sponsored by USENIX. Who’s Calling? Characterizing Robocalls through Audio and Metadata Analysis Sathvik Prasad Elijah Bouma-Sims North Carolina State University North Carolina State University [email protected] [email protected] Athishay Kiran Mylappan Bradley Reaves North Carolina State University North Carolina State University [email protected] [email protected] Abstract Despite the clear importance of the problem, much of what Unsolicited calls are one of the most prominent security is known about the unsolicited calling epidemic is anecdotal issues facing individuals today. Despite wide-spread anec- in nature. Despite early work on the problem [6–10], the re- dotal discussion of the problem, many important questions search community still lacks techniques that enable rigorous remain unanswered. In this paper, we present the first large- analysis of the scope of the problem and the factors that drive scale, longitudinal analysis of unsolicited calls to a honeypot it. There are several challenges that we seek to overcome. of up to 66,606 lines over 11 months. From call metadata we First, we note that most measurements to date of unsolicited characterize the long-term trends of unsolicited calls, develop volumes, trends, and motivations (e.g., sales, scams, etc.) have the first techniques to measure voicemail spam, wangiri at- been based on reports from end users. -
IFIP AICT 394, Pp
A Scalable Spam Filtering Architecture Nuno Ferreira1, Gracinda Carvalho1, and Paulo Rogério Pereira2 1 Universidade Aberta, Portugal 2 INESC-ID, Instituto Superior Técnico, Technical University of Lisbon, Portugal [email protected], [email protected], [email protected] Abstract. The proposed spam filtering architecture for MTA1 servers is a component based architecture that allows distributed processing and centralized knowledge. This architecture allows heterogeneous systems to coexist and benefit from a centralized knowledge source and filtering rules. MTA servers in the infrastructure contribute to a common knowledge, allowing for a more rational resource usage. The architecture is fully scalable, ranging from all-in- one system with minimal components instances, to multiple components instances distributed across multiple systems. Filtering rules can be implemented as independent modules that can be added, removed or modified without impact on MTA servers operation. A proof-of-concept solution was developed. Most of spam is filtered due to a grey-listing effect from the architecture itself. Using simple filters as Domain Name System black and white lists, and Sender Policy Framework validation, it is possible to guarantee a spam filtering effective, efficient and virtually without false positives. Keywords: spam filtering, distributed architecture, component based, centralized knowledge, heterogeneous system, scalable deployment, dynamic rules, modular implementation. 1 Introduction Internet mail spam2 is a problem for most organizations and individuals. Receiving spam on mobile devices, and on other connected appliances, is yet a bigger problem, as these platforms are not the most appropriate for spam filtering. Spam can be seen as belonging to one of two major categories: Fraud and Commercial. -
White Paper Barracuda • Comprehensive Email Filtering
Comprehensive Email Filtering White Paper Barracuda • Comprehensive Email Filtering Email has undoubtedly become a valued communications tool among organizations worldwide. With Spam History frequent virus attacks and the alarming influx of spam, email loses the efficiency to communicate. Spam Spam is one form of abuse messages represent the vast majority of email traffic on the Internet. Spam is no longer a simple annoyance; of the Simple Mail Transfer it is a significant security issue and a massive drain on financial resources. Protocol (SMTP), which is implemented in email systems This is simply astounding and unacceptable. It’s time to take control of spam and virus attacks. on the basis of RFC 524. First proposed in 1973, RFC 524 was Filtering Email in Two Advanced Processes developed during a time when computer security was not a Today, there are a number of solutions designed to help alleviate the spam problem. Barracuda Networks significant concern. As such, designed the affordable Barracuda Email Security Gateway as an easy-to-use, enterprise-class hardware and RFC 524 is no longer a secure software solution for businesses of all sizes that comprehensively evaluates each email, using two main command set, making it and classes of sophisticated algorithms and techniques: Connection Management and Mail Scanning. SMTP susceptible to abuse. During the connection management process, emails are filtered through five defense layers to verify Most spam-making tools authenticity of envelope information, and any inappropriate incoming mail connections are dropped exploit the security holes in even before receiving the message. Any emails that survive the connection verification process must then SMTP.