Fraud in Digital Advertising Botnet Baseline Summery - Ziv Ginsberg
This is a summery of the 50 pages research thet made on the field of botnet by white ops.
Cyber security awareness & training 2.1Mark Mair
?
This is a short presentation Skibo has been delivering to companies over the past 12 months, based on real-world experience in dealing with cyber security incidents,
What are the trends transforming the financial services industry in 2019? And how can businesses stay relevant and profitable in 2020? Get answers to these questions and more as we walk through the highlights of the 2019 iovation Financial Services Fraud and Consumer Trust Report.
Join iovation, a TransUnion company, as we provide key findings from analyzing 5.9 billion financial services transactions protected by iovation, 1604 consumer interviews both in the U.S. and the U.K., and the impact of fraud on consumers’ perceptions and buying decisions. Through our conversations with industry leaders and interviews with consumers, we answer three main questions in the report, and expand upon them in this webinar:
How is fraud changing for banking and lending?
As consumers shift to mobile, are fraudsters following?
Is consumer trust a priority over consumer experience?
Register today and then share back with your team, these new findings on the key market drivers that will shape the financial services industry in 2020.
This document discusses cyber crime. It begins by defining cyber crime as crimes committed using computers and the internet, such as identity theft. It then discusses different types of cyber crimes like those against individuals, businesses, and governments. It also covers crimeware tools used like bots, trojans, spyware, and their functions. Common cyber crimes like phishing and pharming are explained in detail. The document concludes with prevention tips, actions to take if victimized, relevant cyber laws, and references.
1) The document discusses the Mirai botnet, which infects internet-of-things devices like IP cameras through factory default credentials and spreads by scanning for other vulnerable devices to recruit into the botnet.
2) It describes how exposing a camera directly to the internet resulted in it being compromised by Mirai within minutes, as the malware used telnet to upload itself and then contacted command-and-control servers.
3) The presenter argues that insecure IoT supply chain practices that prioritize low cost over security have contributed to the proliferation of botnets like Mirai, and advocates for improving security of IoT devices.
This presentation discusses botnets, which are networks of compromised computers controlled remotely by attackers. It covers the botnet lifecycle, how botnets are used for criminal activities like DDoS attacks and spamming, and methods for detecting and preventing botnet infections. The outline includes topics like botnet terminology, uses in network security, detection through traffic monitoring and honeynets, and preventing infection through firewalls, antivirus software, and security policies. In conclusion, botnets pose a significant threat and finding solutions to detect and mitigate botnet attacks is important for cybersecurity.
The document discusses botnet detection techniques. It provides an introduction to botnets, describing their terminology and lifecycle. It then covers how botnets pose a threat to network security and how they are used for distributed denial of service attacks, spamming, phishing and more. The document outlines two main approaches to botnet detection: setting up honeynets to monitor infected machines and passive traffic monitoring using signature-based, anomaly-based and DNS-based techniques. It also discusses preventing botnet infections and concludes that botnets are a significant cybersecurity threat and detecting them is important.
Ana White OPS - the bot baseline - fraud in digital advertising - 2015Romain Fonnier
?
Bot traffic accounted for a significant portion of digital advertising impressions across many campaigns studied. On average, bots made up 11% of display impressions and 23% of video impressions. Certain domains like finance, family and food sites had higher bot percentages ranging from 16-22%. Efforts to increase reach through run-of-network campaigns averaged 16% bot traffic. Traffic sourcing from third parties resulted in bot levels over 50% on average. Video campaigns in particular were vulnerable to bot and non-bot ad fraud, with some campaigns seeing bot levels as high as 63%.
The Association of National Advertisers (ANA) publishes a study about bot traffic in Digital Advertising, in collaboration with White Ops.
At current bot rates, advertisers will lose approximately $6.3 billion globally to bots in 2015 (applying the bot levels observed across the study to the estimated $40 billion spent globally on display ads and the estimated
$8.3 billion spent globally on video ads).
The Bot Baseline - Fraud in Digital Advertisingyann le gigan
?
>>The Bot Baseline: Fraud in Digital Advertising
[ana.net 09.12.14]
Advertisers will lose $6.3 billion globally to bots in 2015.
http://www.ana.net/content/show/id/botfraud
This document discusses the problem of bot fraud in digital advertising, specifically for video ads. It defines bot fraud and explains that it exists to generate illegal profits for criminals. Though often found in long-tail sites, over half of bot traffic comes from third-party aggregators, including for premium inventory sites. The problem is estimated to cost advertisers $6.3 billion in 2015 alone. The document advocates for an industry-wide zero tolerance approach and increased accountability to finally eliminate bot fraud.
AD Fraud and AD Blockers have been the biggest threat for Digital Advertising industry. The whitepaper discusses 9mediaOnline's initiatives to tackle the threats.
This presentation addresses the causes and effects of Fraudulent Internet Yellow Pages Traffic with recommendations fro consumers and small and medium-size business owners.
Ana white ops - bot fraud action plan - 2015Romain Fonnier
?
Bots are everywhere, but not in equal numbers. The joint ANA/White Ops study, conducted in August and September 2014, included a diverse range of brands, across nine vertical categories, with total ad budgets ranging from $10 million to more than $1 billion, as measured by Kantar. This 57-page report uncovers the startling and alarming impact of bots on digital media and offers an action plan that marketers and the industry at large can implement today to begin eliminating bot fraud.
This document summarizes display ad fraud and provides examples. It explains that fraud involves fake sites with no real content and fake users or bots that load pages to generate fraudulent impressions and clicks. These bots can be run from data centers or compromised PCs. The document outlines several techniques used by fraudsters, such as ad stacking and spoofing, and describes how fraud has become more automated and programmatic as digital ads are increasingly bought and sold this way. It analyzes case studies and metrics from various sources on estimated fraud levels. The document is authored by an independent ad fraud researcher with a PhD and experience advising advertisers on technical fraud issues.
Digital ad fraud continues to increase, as more ad dollars shift into digital. This is a recap of current forms of ad fraud and current techniques and technologies being used to combat it.
The document discusses the growing problem of bot traffic in online advertising and how it undermines the industry. It notes that as much as 36% of online traffic may be from bots. Bots are sophisticated software that can mimic human behavior to fraudulently generate ad views and traffic. This costs advertisers and undermines metrics. The document outlines Adaptive Media's three-pronged approach to addressing the problem, including vetting publishers, using third-party validation of traffic quality, and participating in industry groups to tackle the issue and establish standards.
This document discusses how digital ad fraud works through fake impressions and clicks. It explains that fraudsters set up sites and load them with ads or search ads. They then use bots to generate massive amounts of fake traffic and clicks to steal advertising dollars from impression-based (CPM) and click-based (CPC) ads. The document outlines how this impacts different types of digital ads like display, video, mobile, and search ads, as well as the industries most targeted by fraudsters. It also discusses techniques used by fraudsters to disguise fraudulent traffic and evade detection.
This document discusses ad fraud and ad blocking. It begins with background on the rise of programmatic digital ad spending and fraud. It then defines the two main types of ad fraud as impression fraud and click fraud, both of which use bots. The document discusses how bots range in sophistication and why they are difficult to identify. It also addresses the impact of ad blocking and how fraud and blocking pollute analytics metrics. The document concludes with recommendations for advertisers to measure fraud directly and focus on metrics like conversions that cannot be easily faked.
This document discusses different types of internet bots and their impact on online video advertising. It identifies three main types of bots: crawler/spiders which index content, covert crawlers which mimic human behavior to commit ad fraud, and zombie computers which are infected devices controlled remotely for malicious purposes like fraud. The document reports that bots now generate more internet traffic than humans and are negatively impacting the video advertising industry through fraudulent impressions.
Very useful description and guidelines from the IAB about traffic fraud and digital ad fraud.
SOURCE: http://www.iab.net/member_center/traffic_of_good_intent_task_force
2016 Bad Bot Report: Quantifying the Risk and Economic Impact of Bad BotsDistil Networks
?
Distil Networks has produced their third annual Bad Bot Report. It's the IT Security Industry's most in-depth analysis on the sources, types, and sophistication levels of last year's bot attacks -- and there are serious implications for anyone responsible for securing websites and APIs.
Join Derek Brink, Vice President of Research at Aberdeen Group and Rami Essaid, CEO of Distil Networks as they dive into the data to reveal:
? 6 high-risk lessons every IT security pro must know
? How to quantify the risk and economic impact of bad bots for your organization
? How bot activity varies across websites based on industry and popularity
? The worst offending countries, ISPs, mobile operators, and hosting providers
Bad bots are the key culprits behind web scraping, brute force attacks, competitive data mining, online fraud, account hijacking, unauthorized vulnerability scans, spam, man-in-the-middle attacks, digital ad fraud, and downtime.
Ana White OPS - the bot baseline - fraud in digital advertising - 2015Romain Fonnier
?
Bot traffic accounted for a significant portion of digital advertising impressions across many campaigns studied. On average, bots made up 11% of display impressions and 23% of video impressions. Certain domains like finance, family and food sites had higher bot percentages ranging from 16-22%. Efforts to increase reach through run-of-network campaigns averaged 16% bot traffic. Traffic sourcing from third parties resulted in bot levels over 50% on average. Video campaigns in particular were vulnerable to bot and non-bot ad fraud, with some campaigns seeing bot levels as high as 63%.
The Association of National Advertisers (ANA) publishes a study about bot traffic in Digital Advertising, in collaboration with White Ops.
At current bot rates, advertisers will lose approximately $6.3 billion globally to bots in 2015 (applying the bot levels observed across the study to the estimated $40 billion spent globally on display ads and the estimated
$8.3 billion spent globally on video ads).
The Bot Baseline - Fraud in Digital Advertisingyann le gigan
?
>>The Bot Baseline: Fraud in Digital Advertising
[ana.net 09.12.14]
Advertisers will lose $6.3 billion globally to bots in 2015.
http://www.ana.net/content/show/id/botfraud
This document discusses the problem of bot fraud in digital advertising, specifically for video ads. It defines bot fraud and explains that it exists to generate illegal profits for criminals. Though often found in long-tail sites, over half of bot traffic comes from third-party aggregators, including for premium inventory sites. The problem is estimated to cost advertisers $6.3 billion in 2015 alone. The document advocates for an industry-wide zero tolerance approach and increased accountability to finally eliminate bot fraud.
AD Fraud and AD Blockers have been the biggest threat for Digital Advertising industry. The whitepaper discusses 9mediaOnline's initiatives to tackle the threats.
This presentation addresses the causes and effects of Fraudulent Internet Yellow Pages Traffic with recommendations fro consumers and small and medium-size business owners.
Ana white ops - bot fraud action plan - 2015Romain Fonnier
?
Bots are everywhere, but not in equal numbers. The joint ANA/White Ops study, conducted in August and September 2014, included a diverse range of brands, across nine vertical categories, with total ad budgets ranging from $10 million to more than $1 billion, as measured by Kantar. This 57-page report uncovers the startling and alarming impact of bots on digital media and offers an action plan that marketers and the industry at large can implement today to begin eliminating bot fraud.
This document summarizes display ad fraud and provides examples. It explains that fraud involves fake sites with no real content and fake users or bots that load pages to generate fraudulent impressions and clicks. These bots can be run from data centers or compromised PCs. The document outlines several techniques used by fraudsters, such as ad stacking and spoofing, and describes how fraud has become more automated and programmatic as digital ads are increasingly bought and sold this way. It analyzes case studies and metrics from various sources on estimated fraud levels. The document is authored by an independent ad fraud researcher with a PhD and experience advising advertisers on technical fraud issues.
Digital ad fraud continues to increase, as more ad dollars shift into digital. This is a recap of current forms of ad fraud and current techniques and technologies being used to combat it.
The document discusses the growing problem of bot traffic in online advertising and how it undermines the industry. It notes that as much as 36% of online traffic may be from bots. Bots are sophisticated software that can mimic human behavior to fraudulently generate ad views and traffic. This costs advertisers and undermines metrics. The document outlines Adaptive Media's three-pronged approach to addressing the problem, including vetting publishers, using third-party validation of traffic quality, and participating in industry groups to tackle the issue and establish standards.
This document discusses how digital ad fraud works through fake impressions and clicks. It explains that fraudsters set up sites and load them with ads or search ads. They then use bots to generate massive amounts of fake traffic and clicks to steal advertising dollars from impression-based (CPM) and click-based (CPC) ads. The document outlines how this impacts different types of digital ads like display, video, mobile, and search ads, as well as the industries most targeted by fraudsters. It also discusses techniques used by fraudsters to disguise fraudulent traffic and evade detection.
This document discusses ad fraud and ad blocking. It begins with background on the rise of programmatic digital ad spending and fraud. It then defines the two main types of ad fraud as impression fraud and click fraud, both of which use bots. The document discusses how bots range in sophistication and why they are difficult to identify. It also addresses the impact of ad blocking and how fraud and blocking pollute analytics metrics. The document concludes with recommendations for advertisers to measure fraud directly and focus on metrics like conversions that cannot be easily faked.
This document discusses different types of internet bots and their impact on online video advertising. It identifies three main types of bots: crawler/spiders which index content, covert crawlers which mimic human behavior to commit ad fraud, and zombie computers which are infected devices controlled remotely for malicious purposes like fraud. The document reports that bots now generate more internet traffic than humans and are negatively impacting the video advertising industry through fraudulent impressions.
Very useful description and guidelines from the IAB about traffic fraud and digital ad fraud.
SOURCE: http://www.iab.net/member_center/traffic_of_good_intent_task_force
2016 Bad Bot Report: Quantifying the Risk and Economic Impact of Bad BotsDistil Networks
?
Distil Networks has produced their third annual Bad Bot Report. It's the IT Security Industry's most in-depth analysis on the sources, types, and sophistication levels of last year's bot attacks -- and there are serious implications for anyone responsible for securing websites and APIs.
Join Derek Brink, Vice President of Research at Aberdeen Group and Rami Essaid, CEO of Distil Networks as they dive into the data to reveal:
? 6 high-risk lessons every IT security pro must know
? How to quantify the risk and economic impact of bad bots for your organization
? How bot activity varies across websites based on industry and popularity
? The worst offending countries, ISPs, mobile operators, and hosting providers
Bad bots are the key culprits behind web scraping, brute force attacks, competitive data mining, online fraud, account hijacking, unauthorized vulnerability scans, spam, man-in-the-middle attacks, digital ad fraud, and downtime.
Hire Android App Developers in India with Cerebraixcerebraixs
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Android app developers are crucial for creating
high-quality, user-friendly, and innovative mobile
applications. Their expertise in mobile development,
UI/UX design, and seamless integration ensures robust
and scalable apps that drive user engagement and
business success in the competitive mobile market.
The truth behind the numbers: spotting statistical misuse.pptxandyprosser3
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As a producer of official statistics, being able to define what misinformation means in relation to data and statistics is so important to us.
For our sixth webinar, we explored how we handle statistical misuse especially in the media. We were also joined by speakers from the Office for Statistics Regulation (OSR) to explain how they play an important role in investigating and challenging the misuse of statistics across government.
AI + Disability. Coded Futures: Better opportunities or biased outcomes?Christine Hemphill
?
A summary report into attitudes to and implications of AI as it relates to disability. Will AI enabled solutions create greater opportunities or amplify biases in society and datasets? Informed by primary mixed methods research conducted in the UK and globally by Open Inclusion on behalf of the Institute of People Centred AI, Uni of Surrey and Royal Holloway University. Initially presented at Google London in Jan 2025.
If you prefer an audio visual format you can access the full video recorded at Google ADC London where we presented this research in January 2025. It has captioned content and audio described visuals and is available at https://www.youtube.com/watch?v=p_1cv042U_U. There is also a short Fireside Chat about the research held at Zero Project Conference March 2025 available at https://www.youtube.com/live/oFCgIg78-mI?si=EoIaEgDw2U7DFXsN&t=11879.
If 狠狠撸 Share's format is not accessible to you in any way, please contact us at contact@openinclusion.com and we can provide you with the underlying document.
CloudMonitor - Architecture Audit Review February 2025.pdfRodney Joyce
?
CloudMonitor FinOps is now a Microsoft Certified solution in the Azure Marketplace. This little badge means that we passed a 3rd-party Technical Audit as well as met various sales KPIs and milestones over the last 12 months.
We used our existing Architecture docs for CISOs and Cloud Architects to craft an Audit Response - I've shared it below to help others obtain their cert.
Interestingly, 90% of our customers are in the USA, with very few in Australia. This is odd as the first thing I hear in every meetup and conference, from partners, customers and Microsoft, is that they want to optimise their cloud spend! But very few Australian companies are using the FinOps Framework to lower Azure costs.
Relationship between Happiness & LifeQuality .pdfwrachelsong
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There a lot of studies showing the correlation between GDP by country and average life satisfcation. Usually, most countries with higher GDP tend to have higher average life satisfaction scores. Inspired by this findings, I began to wonder.. 'What other aspects of life significantly contribute to happiness?' Specifically, we wanted to explore which quality of life indicators have a significant relationship with the happiness scores of different regions.
Research Question : Which quality of life indicators have a significant relationship with the happiness score among different regions?
To address this question, we decided to investigate various factors that might influence happiness, including economic stability, health, social support, and more.
The Role of Christopher Campos Orlando in Sustainability Analyticschristophercamposus1
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Christopher Campos Orlando specializes in leveraging data to promote sustainability and environmental responsibility. With expertise in carbon footprint analysis, regulatory compliance, and green business strategies, he helps organizations integrate sustainability into their operations. His data-driven approach ensures companies meet ESG standards while achieving long-term sustainability goals.
2. What are we going to talk about?
?What are Botnets? And what can they do?
?bots fraud in digital advertising world in brief
? How it affects us
? What are the damages
? How to protect against
?What is a adware?
?Where to buy this cool bots
?Conclusions
4/18/2015 2
3. What is Botnet and how it works?
1. A botnet operator sends out
viruses or worms
2. The bot on the infected PC
3. A spammer purchases the
services of the botnet from
the operator
4. The spammer provides the
spam messages to the
operator, who instructs the
compromised machines
4/18/2015 3
4. What can a botnet do?
4/18/2015 4
? dDoS Attack
? Adware - replacing banner ads on web pages
? Spyware - sends information to its creators
? Scareware or Ransomware - creating fear in users to pay
? Worms - The botnet focuses on recruiting other hosts
? Exploiting systems by observing users playing online games such as poker and
see the players' cards
? And many more…
5. Botnet Example: Beebone botnet
4/18/2015 5
? infected more than 12,000 computers worldwide
? Installs other forms of malicious software,
including ransomware and rootkits
? Beebone botnet polymorphic in nature - updates itself as
many as 19 times a day
? more than 5 Million unique samples of Beebone botnet in
the wild
? Beebone infections spread across more than 195 countries
8. EXECUTIVE SUMMARY
Global advertisers will lose $6.3 billion
to bots in 2015 At current bot rates
Ad fraud gets home users hacked 67%
of bot traffic came from residential IP
Ad bots act and blend in as humans
4/18/2015 8
9. 4/18/2015 9
For 60 days, researchers from White Ops thoroughly
analyzed 5.5 billion impressions in 3 million domains
from 36 leading companies from different industries,
all of which are ANA members. These corporations
include Honda, Intel, MasterCard, Ford, Nestle, AIG,
Wendy’s, and Walmart.
EXECUTIVE SUMMARY
10. 4/18/2015 10
Approximately half the bots
caught were not sophisticated
enough to keep daylight hours.
At night
In Video
Bots accounted for 23% of all
video impressions observed.
In Display
Bots accounted for 11% of all
display impressions observed
In specific
domain categories
Finance, family, and food domains
showed increased bot traffic,
ranging from 16 to 22 percent bots.
In sourced traffic
Third-party traffic sourcing
resulted in 52 percent bot
fraud.
15. Online ad fraud in video and display ad campaigns
4/18/2015 15
23%
77%
23%
Video Bot
11%
89%
11%
Display Bots
Some of the highest impression-volume video ad
campaigns took huge hits from bot traffic as well as from
video autoplay adware
18. AD INJECTION ATTACKS and QUALITY OF THE INTERNET
4/18/2015 18
Advertisers and publishers can help prevent ad injection by limiting the use of sourced traffic, continuously
monitoring sourced traffic, and requiring suppliers to demonstrate that their traffic does not include injected ads.
19. Where can I buy facebook botnet services?
4/18/2015 19
http://www.getyourlikes.co.uk/
20. Where can I buy Instagram botnet services?
4/18/2015 20
http://www.followers-and-likes.com/
21. Where can I buy youtube botnet services?
4/18/2015 21
http://www.view2.be/
23. How to Overcome The Problem
Action Plan for
Buyers
Be aware and involved
Request transparency for
sourced traffic
Use third-party monitoring
Apply day-parting when you can
Consider reducing buys for older
browsers
Action Plan for
Publishers
Continuously monitor sourced
traffic
Consider allowing third-party
traffic assessment tools
Action Plan for
All Stakeholders
Authorize and approve third-
party traffic validation
technology
Create allies, not adversaries, in
the fight against bot fraud
4/18/2015 23