Design and Evaluation of a Real-Time URL Spam Filtering Service
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Whisperkey: Creating a User-Friendly URL Shortener
WhisperKey: Creating a User-Friendly URL Shortener Eunice Lin, Flora Tan, Linda Wang May 12, 2016 Abstract of links. Unlike other popular URL shorteners such as Tinyurl or Bitly that map the original URL to a URL shorteners convert long, unwieldy URLs into random string of letters and numbers, ShoutKey was shorter ones and redirect all requests to the short- designed to be user-friendly by using keys that are ened URL to the original website. In this project, standard English words that are easily pronounced we investigate the security flaws of ShoutKey, an or spelled. This makes it easy for users to share easy-to-use temporary URL shortener that maps a link to those in close proximity, for example, by simple dictionary words to a given URL of interest. verbally telling the key to a friend across the room or writing it on a whiteboard at the front of class. We first conduct a security analysis of the vulnera- Anyone who goes to the ShoutKey link can access bilities encompassed by Shoutkey. Then, we conduct the corresponding URL. a standard dictionary attack to access private URLs, storing the successful dictionary words in a separate database to conduct a second, more optimized dic- tionary attack, and analyzing the successful redirects to determine if there is any leakage of private user data. Finally, we propose a more secure implementa- tion of ShoutKey called WhisperKey and empirically analyze how WhisperKey is designed to be less prone to security attacks than ShoutKey is. 1 Introduction 1.1 URL Shorteners Figure 1: A ShoutKey with "laugh" as its key. -
Phishing Detection Using Machine Learning
Phishing detection using machine learning MSc Research Project MSc Cyber Security Suraj Wandhare Student ID: 18157432 School of Computing National College of Ireland Supervisor: Ben Fletcher www.ncirl.ie National College of Ireland Project Submission Sheet School of Computing Student Name: Suraj Wandhare Student ID: 18157432 Programme: MSc Cyber Security Year: 2019 Module: MSc Research Project Supervisor: Ben Fletcher Submission Due Date: 03/02/2020 Project Title: Phishing detection using machine learning Word Count: 3500 Page Count: 11 I hereby certify that the information contained in this (my submission) is information pertaining to research I conducted for this project. All information other than my own contribution will be fully referenced and listed in the relevant bibliography section at the rear of the project. ALL internet material must be referenced in the bibliography section. Students are required to use the Referencing Standard specified in the report template. To use other author's written or electronic work is illegal (plagiarism) and may result in disciplinary action. I agree to an electronic copy of my thesis being made publicly available on NORMA the National College of Ireland's Institutional Repository for consultation. Signature: Date: 3rd February 2020 PLEASE READ THE FOLLOWING INSTRUCTIONS AND CHECKLIST: Attach a completed copy of this sheet to each project (including multiple copies). Attach a Moodle submission receipt of the online project submission, to each project (including multiple copies). You must ensure that you retain a HARD COPY of the project, both for your own reference and in case a project is lost or mislaid. It is not sufficient to keep a copy on computer. -
Oracle Eloqua Landing Pages User Guide
Oracle Eloqua Landing Pages User Guide ©2018 Oracle Corporation. All rights reserved 07-Nov-2018 Contents 1 Landing pages overview 4 2 Landing page examples 7 3 Creating landing pages using the Design Editor 17 3.1 Working with landing page content blocks and layouts 20 3.1.1 Copying content blocks or layouts 24 3.2 Landing page styling 27 3.2.1 Background 29 3.2.2 Text Defaults 29 3.2.3 Hyperlink Defaults 29 3.2.4 Advanced Styles 29 3.3 Adding an image carousel 30 3.4 Adding a form 32 3.5 Changing the visibility of landing pages 33 3.6 Previewing landing pages 35 3.7 Creating folders for landing pages 38 3.8 Saving landing pages as templates 40 3.9 Editing landing pages 43 3.10 Making copies of landing pages 44 3.11 Deleting landing pages 47 4 Creating landing pages using the Source Editor 49 4.1 Code requirements for uploading HTML landing pages 53 4.2 Editing HTML landing pages using the Source Editor 55 4.3 Creating new landing pages and templates using the HTML upload wizard 57 5 Creating landing pages using the Classic Design Editor 63 5.1 Adding text boxes to landing pages 68 ©2018 Oracle Corporation. All rights reserved 2 of 102 5.2 Customizing landing page text boxes and images 70 5.3 Locking and unlocking objects in landing pages 83 5.4 Copying landing page objects 87 5.5 Grouping objects in landing pages 89 5.6 Using landing page recovery checkpoints 91 6 Landing page template manager 95 6.1 Granting template manager permission 95 6.2 Creating new landing page templates from the template manager 96 6.3 Editing landing page templates 98 6.4 Adding protections in landing page templates 99 6.4.1 Protected HTML landing page reference 102 ©2018 Oracle Corporation. -
What Are Facebook Messenger Ads?
1 TABLE OF CONTENTS INTRODUCTION CHAPTER 1: What is Facebook Messenger? CHAPTER 2: What are Facebook Messenger Ads? CHAPTER 3: What are the Features That Facebook Messenger Ads Offer CHAPTER 4: Three Ways to Get Facebook Messenger Ads to Bolster Revenue Growth CHAPTER 5: What is Chatbot Marketing? CONCLUSION 2 The Guide to Facebook Messenger Ads INTRODUCTION We all agree that instant messaging is simpler, more real-time and prompt. It is these attributes that lie at the bottom of the phenomenal success of apps like WhatsApp, Snap Chat, Instagram Messaging – all of which are now being increasingly used by businesses to promote their products and services. Facebook Messenger ads for eCommerce is one such channel which is being used by online businesses to interact with their prospective and current customers. With this eBook, you’ll learn how Facebook Messenger Ads are able to power your sales strategy, how you can get started with Facebook Messenger Ads and see great examples of popular brands using Facebook Messenger Ads. We will talk about Chatbot Marketing too. 3 CHAPTER 1: WHAT IS FACEBOOK MESSENGER? The Facebook Messenger is an instant messaging service by Facebook. Launched in 2011, this app can be used alongside your Facebook account on your computers, tabs or phones. While on the computer, you will see the Messenger integrated with your Facebook page. The same functionality is used through a separate app on your hand-held devices, which brings me to the next interesting fact; and that is, you don’t need a Facebook account to use its Messenger app. -
Partner in Business
PENTELEDATA’S CUSTOMER NEWSLETTER CONTENTS PARTNER IN BUSINESS OUR PARTNER IN BUSINESS - FIRST First Commonwealth Federal COMMONWEALTH FEDERAL CREDIT UNION Credit Union PenTeleData is proud of our partner- ship with First Commonwealth. First Commonwealth is the largest credit union in the Lehigh Valley, with over $550 million in LETTER FROM OUR GM assets, nearly 50,000 members and six branches. They offer the same financial services UPCOMING EVENTS found at a traditional bank, but with better FLASHBACK JUST 25 YEARS AGO...IT’S rates and lower fees. That's because they’re ALL BECAUSE OF OUR FIBER! structured differently. They are member- TECH TIP: owned and not-for-profit. Instead of earning What to do if your Cable Modem money for stockholders, they return profits to or DSL Stops Working? their member-owners (account holders) in the form of higher dividends on savings, lower DO YOU HEAR THE SONIC BOOM? rates on loans and lower fees. First Common- DOCSIS 3.0 packages for Business wealth was originally chartered in 1959 to begin this summer. An upgrade to their data processing sys- CUSTOMER CONTEST serve the employees of Western Electric in Al- tem will allow them to better serve their customers, with fully lentown. Today, they serve nearly 700 employer integrated accounts and streamlined processes. The more APRIL 2013 CUSTOMER CONTEST groups – ranging from large corporations to advanced technology will help to serve their members WINNER very small businesses. Their full-service menu quickly and efficiently with options such as mobile banking, includes everything from checking accounts OUR NEW RESIDENTIAL WEBSITE redesigned statements, account alerts via text messaging, and debit cards to mortgages, online banking FEATURES SOME VERY FRIENDLY FACES! and a customized landing page for account log-in. -
Longitudinal Study of Links, Linkshorteners, and Bitly Usage on Twitter Longitudinella Mätningar Av Länkar, Länkförkortare Och Bitly An- Vänding På Twitter
Linköping University | Department of Computer and Information Science Bachelor’s thesis, 16 ECTS | Link Usage 2020 | LIU-IDA/LITH-EX-G--20/001--SE Longitudinal study of links, linkshorteners, and Bitly usage on Twitter Longitudinella mätningar av länkar, länkförkortare och Bitly an- vänding på Twitter Mathilda Moström Alexander Edberg Supervisor : Niklas Carlsson Examiner : Marcus Bendtsen Linköpings universitet SE–581 83 Linköping +46 13 28 10 00 , www.liu.se Upphovsrätt Detta dokument hålls tillgängligt på Internet - eller dess framtida ersättare - under 25 år från publicer- ingsdatum under förutsättning att inga extraordinära omständigheter uppstår. Tillgång till dokumentet innebär tillstånd för var och en att läsa, ladda ner, skriva ut enstaka ko- pior för enskilt bruk och att använda det oförändrat för ickekommersiell forskning och för undervis- ning. Överföring av upphovsrätten vid en senare tidpunkt kan inte upphäva detta tillstånd. All annan användning av dokumentet kräver upphovsmannens medgivande. För att garantera äktheten, säker- heten och tillgängligheten finns lösningar av teknisk och administrativ art. Upphovsmannens ideella rätt innefattar rätt att bli nämnd som upphovsman i den omfattning som god sed kräver vid användning av dokumentet på ovan beskrivna sätt samt skydd mot att dokumentet ändras eller presenteras i sådan form eller i sådant sammanhang som är kränkande för upphovsman- nens litterära eller konstnärliga anseende eller egenart. För ytterligare information om Linköping University Electronic Press se förlagets hemsida http://www.ep.liu.se/. Copyright The publishers will keep this document online on the Internet - or its possible replacement - for a period of 25 years starting from the date of publication barring exceptional circumstances. The online availability of the document implies permanent permission for anyone to read, to down- load, or to print out single copies for his/hers own use and to use it unchanged for non-commercial research and educational purpose. -
JETIR Research Journal
© 2018 JETIR April 2018, Volume 5, Issue 4 www.jetir.org (ISSN-2349-5162) Comparative Analysis of Malicious Detection of Short URLs from Tweets 1Tareek Pattewar, 2Manish Wagh, 3Umesh Bisnariya, 4Lomesh Patil 1Assistant Professor, 2 3 4 Students Department of Information Technology R C Patel Institute of Technology, Shirpur Dist. Dhule-425405 Maharashtra, India Abstract : Online Social Networks (OSNs) have become fundamental parts of our online lives, and their popularity is increasing at a surprising rate every day. Growing popularity of Twitter has attracted the attention of attackers who attempt to manipulate the features provided by Twitter to gain some advantage, such as driving Twitter users to other websites that they post as short URLs (Uniform Resource Locators) in their tweets. Even short URLs are also used to avoid sharing overly long URLs and save limited text space in tweets. Significant numbers of URLs shared in the OSNs are shortened URLs. Despite of its potential benefits from genuine usage, attackers use shortened URLs to hide the malicious URLs, which direct users to malicious pages. Although, OSN service providers and URL shortening services utilize certain detection mechanisms to prevent malicious URLs from being shortened, research has found that they fail to do so effectively. In this paper, we developed mechanism to develop a machine learning classifier which detect malicious short URLs. And comparative analysis of detection rate with various classification algorithm, and but also with online detection on Virus Total. Index Terms - Online Social Networks, twitter, short URLs, malicious URLs, machine Learning, classification ________________________________________________________________________________________________________ I. INTRODUCTION In the age of web 2.0, information is contained in the form of webpages and shared via Online Social Networks (OSNs), emails, messages, and texts. -
Using URL Shorteners to Compare Phishing and Malware Attacks
Using URL Shorteners to Compare Phishing and Malware Attacks Sophie Le Page Guy-Vincent Jourdan Gregor v. Bochmann University of Ottawa University of Ottawa University of Ottawa [email protected] [email protected] [email protected] Jason Flood Iosif-Viorel Onut CTO Security Data Matrices IBM Centre for Advanced Studies fl[email protected] [email protected] Abstract—In this work we use URL shortener click analytics to providers such as bit.ly1 or goo.gl2, allow viewing in real time compare the life cycle of phishing and malware attacks. We have the click traffic of a given short URL, including referrers and collected over 7,000 malicious short URLs categorized as phishing countries referring it. or malware for the 2 year period covering 2016 and 2017, along with their reported date. We analyze the short URLs and find Unfortunately attackers abuse URL shortening services, that phishing attacks are most active 4 hours before the reported perhaps to mask the final destination where the victim will date, while malware attacks are most active 4 days before the land after clicking on the malicious link. In our research we reported date. We find that phishing attacks have higher click make use of the Bitly URL shortening service, reportedly the through rate with shorter timespan. Conversely malware attacks most popular service [1], [2], to analyze clicks for phishing and have lower click through rate with longer timespan. We also show the comparisons of referrers and countries from which malware attacks. By phishing attacks we mean websites that short URLs are accessed, showing in particular an increased trick a user into providing personal or financial information by use of social media to spread both kinds of attacks. -
How to Promote Your How to Promote Your Business Blog Using Business
How to Promote Your Business Blog Using HubSpot Prashant Kaw Ellie Mirman Inbound Marketing Manager Inbound Marketing Manager Twitter: @prashantkaw Twitter: @ellieeille Promoting Your Business Blog Build thought leadership Optimize content for search Share your remarkable content Interact with your community Create business opportunities Q&A Who is HubSpot? • Founded: 2006 1,800+ Customers • Team: 120 (20 MIT) • A: $5m General Catalyst • B: $12m Matrix Partners • C: $16m Scale Ventures • Outside Director: GilGail GdGoodman, CEO Constant Contact (CTCT) Outbound Marketing Outbound Marketing is Broken 800-555-1234 Annoying Salesperson Marketing Has Changed 1950 - 2000 2000 - 2050 The Good News Build Thought LdLeaders hip Content > Coverage > Traffic/Leads What to Publish • Blog • Podcast • Videos • Phooostos • Presentations • eBooks • News Releases Create Content for SEO Organic Search is Better Pay Per Click – 25% of Clicks Organic Results 75% of Clicks Source: Marketing Sherpa and Enquiro Research Build a Long Lasting Asset Flickr photo: Thomas Hawk Pick Your Keyword Battles Optimize Every Blog Post Share Your CttContent Social Media = Cocktail Party Flickr: TECHcocktail Publish Content to Social Media Publish Content to Social Media Encourage Sharing of Content Interact with CitCommunity Host Conversations Answer Questions Comment On Blogs Move Beyond Your Blog Monitor & Engage in Conversations Create Business OtitiOpportunities Convert Conversations Targeted calls to action at every step Convert Conversations Capture leads with ldilanding -
Identity Governance 3.6 User and Administration Guide
Identity Governance 3.6 User and Administration Guide April 2020 Legal Notice The only warranties for products and services of Micro Focus and its affiliates and licensors (“Micro Focus”) are set forth in the express warranty statements accompanying such products and services. Nothing herein should be construed as constituting an additional warranty. Micro Focus shall not be liable for technical or editorial errors or omissions contained herein. The information contained herein is subject to change without notice. For additional information, such as certification-related notices and trademarks, see http://www.microfocus.com/about/ legal/. © Copyright 2020 Micro Focus or one of its affiliates. 2 Contents About this Book and the Library 11 1 Introduction 13 1.1 Understanding Installation and Configuration . .14 1.2 Understanding Key Administration and User Tasks . .14 1.3 Understanding Reporting . .14 1.4 Understanding Licenses . .15 1.5 Understanding REST Services for Identity Governance . .15 2 Adding Identity Governance Users and Assigning Authorizations 17 2.1 Understanding Authorizations in Identity Governance . .17 2.1.1 Global Authorizations. .17 2.1.2 Runtime Authorizations . .20 2.2 Adding Identity Governance Users. .22 2.3 Assigning Authorizations to Identity Governance Users . .23 2.4 Using Coverage Maps . .24 2.4.1 Creating Coverage Map . .25 2.4.2 Loading the Coverage Map . .29 3 Customizing Identity Governance for Your Enterprise 31 3.1 Customizing the Email Notification Templates . .31 3.1.1 Modifying Email Templates . .32 3.1.2 Adding an Image to the Email Template. .37 3.2 Customizing the Collector Templates for Data Sources . 38 3.3 Customizing Categories. -
How Content Volume on Landing Pages Influences Consumer Behavior
June 23 - 28 2018, La Verne, California, USA HOW CONTENT VOLUME ON LANDING PAGES INFLUENCES CONSUMER BEHAVIOR: EMPIRICAL EVIDENCE Ruti Gafni* The Academic College of Tel Aviv Yaffo, [email protected] Tel Aviv, Israel Nim Dvir University at Albany, State University of New York, [email protected] Albany, NY, USA * Corresponding author ABSTRACT Aim/Purpose This paper describes an empirical investigation on how consumer behavior is influenced by the volume of content on a commercial landing page -- a stand- alone web page designed to collect user data (in this case the user’s e-mail ad- dress), a behavior called “conversion.” Background Content is a term commonly used to describe the information made available by a website or other electronic medium. A pertinent debate among scholars and practitioners relate to information volume and consumer behavior: do more details elicit engagement and compliance, operationalized through conver- sions, or the other way around? Methodology A pilot study (n= 535) was conducted in real-world commercial setting, fol- lowed by a series of large-scale online experiments (n= 27,083). Both studies employed a between-group design: Two variations of landing pages, long and short, were created based on various behavioral theories. User traffic to the pages was generated using online advertising and randomized between the pag- es (A/B testing). Contribution This research contributes to the body of knowledge on the antecedents and outcomes of online commercial interaction, focusing on content as a determi- nant of consumer decision-making and behavior. Accepting Editor: Eli Cohen │ Received: December 2, 2017 │ Revised: February 28, 2018 │ Accepted: March 3, 2018. -
A Data Citation Roadmap for Scholarly Data Repositories
A Data Citation Roadmap for Scholarly Data Repositories Tim Clark (Harvard Medical School & Massachusetts General Hospital) Martin Fenner (DataCite) Mercè Crosas (Institute for Quantiative Social Science, Harvard University) DataCite Webinar, February 23, 2017 © 2017 Massachusetts General Hospital • NIH-funded BD2K program bioCADDIE for data discovery8 2014 Joint Declaration of Data Citation Principles JDDCP endorsed by over 100 scholarly organizations http://force11.org/datacitation 2015 Direct deposition and citation of primary research data http://doi.org/10.7717/peerj-cs.1 2016 Data Citation Implementation Pilot Participants And you! Role-based Participants • Publishers • Elsevier, Springer Nature, PLOS, eLife, Wiley, Frontiers, etc. … • Data Repositories • EMBL, Dataverse, Dryad, Figshare, Google, etc. • Informaticians (NIH BD2K, EBI, CDL, etc. ) • … & Authors (YOU) Publishers Roadmap Development! " Leads: Amye Kenall & Helena Cousijn! " Participants: Elsevier, SpringerNature, eLife, Elsevier PLoS, Frontiers, Wyley, et al.! " Workshop July 22 @ SpringerNature London campus, partially funded by NPG. ! SpringerNature " Continuing work via Telcons.! 11 Updang footer To update the footer: • Click into the text box on the slide master page and update the Data cita%on at Springer Nature journals – key events informaon Checking updates • The text updates will not flow through to all the slide layouts as some have been placed manually. • 1998 – : Accession codes required for various data types at Nature journals and Therefore you may need