Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Bots follow the money, apps under attack - Yaron Oliker, Adjust

63 views

Published on

As presented in the Israel Mobile Summit 2019
http://www.israelmobilesummit.com

Published in: Technology
  • DOWNLOAD FULL BOOKS, INTO AVAILABLE FORMAT ......................................................................................................................... ......................................................................................................................... 1.DOWNLOAD FULL. PDF EBOOK here { https://tinyurl.com/y6a5rkg5 } ......................................................................................................................... 1.DOWNLOAD FULL. EPUB Ebook here { https://tinyurl.com/y6a5rkg5 } ......................................................................................................................... 1.DOWNLOAD FULL. doc Ebook here { https://tinyurl.com/y6a5rkg5 } ......................................................................................................................... 1.DOWNLOAD FULL. PDF EBOOK here { https://tinyurl.com/y6a5rkg5 } ......................................................................................................................... 1.DOWNLOAD FULL. EPUB Ebook here { https://tinyurl.com/y6a5rkg5 } ......................................................................................................................... 1.DOWNLOAD FULL. doc Ebook here { https://tinyurl.com/y6a5rkg5 } ......................................................................................................................... ......................................................................................................................... ......................................................................................................................... .............. Browse by Genre Available eBooks ......................................................................................................................... Art, Biography, Business, Chick Lit, Children's, Christian, Classics, Comics, Contemporary, Cookbooks, Crime, Ebooks, Fantasy, Fiction, Graphic Novels, Historical Fiction, History, Horror, Humor And Comedy, Manga, Memoir, Music, Mystery, Non Fiction, Paranormal, Philosophy, Poetry, Psychology, Religion, Romance, Science, Science Fiction, Self Help, Suspense, Spirituality, Sports, Thriller, Travel, Young Adult,
       Reply 
    Are you sure you want to  Yes  No
    Your message goes here
  • Be the first to like this

Bots follow the money, apps under attack - Yaron Oliker, Adjust

  1. 1. BERLIN • NEW YORK • SAN FRANCISCO • TEL AVIV • SÃO PAULO • PARIS • LONDON • MOSCOW ISTANBUL • SEOUL • SHANGHAI • BEIJING • TOKYO • MUMBAI • SINGAPORE Bots follow the money, apps under attack
  2. 2. 2 Yaron Oliker CEO & Co-founder Unbotify
  3. 3. 3 ‣ Adjust acquired Unbotify in January 2019 ‣ In April Adjust launched its new Unbotify standalone product to end in-app bot fraud. ‣ Unbotify’s technology uses device sensor data to build machine learning models based on real users’ behavior. Bot vs Human scrolling patterns
  4. 4. 4 The bot problem
  5. 5. 5 ‣ Fraud methods target ad budgets ‣ User experience is not affected → negative impact on ad spending Mobile Ad Fraud ‣ In-app bot fraud is specifically made for one app and attacks its business model after an install ‣ Has a negative impact on the user experience → negative impact on revenue In-App Bot Fraud
  6. 6. 6 of advertising spend lost to ad fraud* 20% Bot-driven ad fraud dampens the effectiveness of mobile marketing by stealing ad money and ruining datasets, which lead to wasted ad budgets and poor decision making. *internal Adjust research
  7. 7. 7 In-app bot fraud isn’t just a monetary issue – it has knock-on effects on user experience, retention, in-app analytics, and security breaches that compromise users’ data and scars a brand’s reputation. Mobile’s latest threat: in-app bot fraud App Fraud In-App Bot Fraud
  8. 8. 8 1st circle Poor UX 2nd circle Skewed Analytics 3rd circle Security risks Damage circles Bots used for cheating, skewing in- game economies and hurting retention Skewed analytics due to bot activities make A/B testing and campaign analytics unreliable Bots can be leveraged for account takeovers, credit card fraud, spam, and other forms of in-app abuse
  9. 9. 9 How Unbotify solves the bot problem
  10. 10. 10 ‣ A bespoke, individually-tailored solution, based on your users’ in-app behavior ‣ Prevent bot activity through detection in real-time ‣ Separates real users from bots by using sensor data from human-device interaction such as a mobile’s accelerometer, gyroscope, light sensors & touch pressure ‣ Privacy compliant Separate real users from bots with our machine learning solution which uses sensor data from human- device interaction Detecting in-app bot fraud in real-time Bot vs Human scrolling patterns
  11. 11. 11 Filtering bot fraud with machine learning Bespoke solution for your app Sensor data collection and feature Extraction Machine Learning model based on real users following a specific user pattern Anomaly Detection
  12. 12. 12 How bots affect different verticals
  13. 13. 13 Gaming E-Commerce ‣ Bots can emulate a user and automate gameplay to get an unfair advantage ‣ Bot attacks result in ‣ Fewer in-app purchases ‣ Disinterested players ‣ Reputation plummeting ‣ Hack into user accounts and buy items or do credit card skimming ‣ Create fake accounts ‣ Scalp limited products and sell them at a higher price Finance ‣ Bots leverage huge lists of stolen credentials to hack into user accounts ‣ Buy products either from the account itself or through credit card skimming ‣ Create fake accounts with stolen identity data
  14. 14. 14 Solving the bot problem
  15. 15. 15 A side-by-side comparison of bot interactions and human interactions in a global top 10 game Defeating bots in one of the world’s most popular games Bots Humans
  16. 16. 16 ‣ 3.9% of total users using bots ‣ 4.7% of total sessions are from bots ‣ 67% of bot sessions come from emulators Total bot stats ‣ Lost revenue ‣ Frustrated user base ‣ Skewed analytics ‣ Drove more ad fraud ‣ Multiple sources of attack – emulators, device farms, data centers and real devices The effects of bots
  17. 17. 17 Building a bespoke bot solution 3 2 4 Context Aware Train models according to actual gameplay done by real humans Emulator Detection Detect emulators and untrusted devices Replay Attacks Detect recorded sessions being replayed many times User-Device Interactions Analyze hundreds of biometric features: touch, accelerometer, gyro, light, battery, pressure, etc. 1
  18. 18. 18 Gartner Cool Vendor 2018 #1 Most Innovative Company in Israel 1st Prize TAU Cyber Week
  19. 19. 19 Thank you!

×