Android Recommended Robocall Blocker
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Vermont Robocall Spoofing Survey
WHO’S REALLY ON THE LINE? AN AARP VERMONT SURVEY OF ADULTS 18+ ABOUT ROBOCALLS AND SPOOFING May 2019 AARP.ORG/RESEARCH | © 2019 AARP ALL RIGHTS RESERVED DOI: https://doi.org/10.26419/res.00298.004 AARP RESEARCH Table of Contents Introduction 3 Key Findings 4 Devices Owned and Caller ID 6 Experiences with Robocalls 9 Robocall Spoofing and Scams 13 Reducing Spoofing and Robocalls 20 Summary and Implications 25 Methodology 28 Appendix 30 AARP.ORG/RESEARCH | © 2019 AARP ALL RIGHTS RESERVED AARP RESEARCH 2 Introduction Most of us are familiar with robocall technology – where computers autodial thousands of households with legitimate messages such as pre-recorded school announcements, general reminders of an upcoming scheduled event, or emergency and disaster warnings. However, robocalling also has made it easier for scammers to inexpensively reach millions of consumers and to “spoof” (i.e., disguise) the scammers’ phone numbers. Criminals will generate phone numbers that appear local and familiar to the consumer – known as “neighbor spoofing” – so they will be more likely to answer and respond. Criminal telemarketers will impersonate such entities as the IRS, popular charities, software tech companies, or police officials to entice or threaten consumers into sharing personal identification information or sending money in order to win prizes or money, pay exorbitant fines, or avoid criminal arrest or even jail time. According to the YouMail Robocall index, there were over 43.6 million robocalls placed in Vermont in 2018, more than double the number from 2016.1 The growth of illegal robocalling and spoofing has fueled an increase in telephone fraud victimization. -
Investment Outlook Private Banking Contents
December 2018 Investment Outlook Private Banking Contents 02 Contents 03 Introduction Higher volatility is here to stay 04-05 Macro and other market drivers The economy is growing but is past its peak 06 Our view by asset class Positive expected returns, but uncertainty increasing 07 Risk exposure Lower risk level in late-cyclical phase 08-10 Global equities Earnings and valuations provide support 11-13 Nordic equities Prioritising structural growth as central banks reduce stimulus 14-15 Fixed income investments Stock market turmoil won’t change central bank picture yet 16-20 Theme: Greener growth – challenges and opportunities 21-27 Theme: Modern trends in East Asia Digitisation is taking off in fast-growing economies 28 Contact information Investment Outlook: December 2018 2 Introduction • Higher volatility is here to stay • The economy is growing but is past its peak • Greener growth creates both challenges and opportunities • Digitisation is taking off in fast-growing economies In the last Investment Outlook (September), we lowered our risk level to neutral for the first time in years. With the benefit of hindsight – that is, in light of plunging stock markets this autumn − at least in the short term we should have advocated further caution. At this writing, the best strategy for the year would have been to continue focusing on an aggressive allocation between asset classes for a Swedish investor, thanks to the weak krona. Within asset classes, an ultra-defensive strategy would have been the best. In other words, defensive shares are the winning category for 2018. Since it is difficult to say exactly when stock market reversals will occur, a reasonable conclusion is that the average risk level in a portfolio should be kept lower today than earlier in the current economic cycle. -
Current Affairs Q&A PDF 2019
Current Affairs Q&A PDF Current Affairs Q&A PDF 2019 Contents Current Affairs Q&A – May 2019 .......................................................................................................................... 2 INDIAN AFFAIRS ............................................................................................................................................. 2 INTERNATIONAL AFFAIRS ......................................................................................................................... 28 BANKING & FINANCE .................................................................................................................................. 51 BUSINESS & ECONOMY .............................................................................................................................. 69 AWARDS & RECOGNITIONS....................................................................................................................... 87 APPOINTMENTS & RESIGNS .................................................................................................................... 106 ACQUISITIONS & MERGERS .................................................................................................................... 128 SCIENCE & TECHNOLOGY ........................................................................................................................ 129 ENVIRONMENT ........................................................................................................................................... 146 SPORTS -
LINE Whoscall Android Iphone WP
LINE Whoscall (Android, IPhone, WP) 1 / 4 LINE Whoscall (Android, IPhone, WP) 2 / 4 3 / 4 Whoscall is a caller ID and number management mobile application developed by Gogolook, ... The platform is available across the Android, Windows Phone and iOS platforms. The name Whoscall derives ... "Japanese messenger introduces Line Whoscall, a service to track and block unwanted phone calls". TechinAsia.. Whoscall เป็นแอพพลิเคชั่นที่ถูกพัฒนามาจาก LINE Whoscall ... Whoscall ได้ฟรี ทั้งบนระบบปฎิบัติการ Android , iOS และ Windows Phone.. Popular Alternatives to Phone2Location for Android, Web, iPhone, Windows Phone, ... track and block any mobile number or fixed line (landline) phone number. ... WhosCall is a reverse Number Search, with a global number database of over .... No more guessing! Whoscall specialized in identifying unknown incoming calls and avoid annoying spam calls. You could know who is calling immediately as .... Adobe Photoshop Touch hits iOS and Android phones, not The ... For Windows Phone users Bing has just released their free Bing Translator app for ... whoscall Messaging company Line releases caller ID app for Android, .... Line Whoscall is initially available for Android only, as it was under Gogolook. Line says an iOS version will be released in the future, but it does .... Whoscall IOS version was launched in December, 2014. In 2015, Whoscall official website has been completely updated to provide search services for number .... The developers behind Line, the popular Android and iOS messaging App with over 300 million users, have just launched whoscall, a powerful .... Try it now: LINE whoscall | Windows Phone Apps+Games Store (United States) The best app let you identify, filter and search for phone .... LINE - WHOSCALL - Official Promotion Video - Duration: 0:22. -
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. -
Remedies to Reduce Robocalls
Journal of Law, Technology & the Internet · Vol. 5 · 2014 HANGING UP TOO EARLY: REMEDIES TO REDUCE ROBOCALLS Maria G. Hibbard1 INTRODUCTION Despite the prevalence of the National Do Not Call Registry, telemarketing still plagues millions of Americans. “Rachel” from “Cardholder Services” has a constant presence in American homes. Inevitably, “Rachel,” a theoretical representative from “Cardholder Services”2 or a “government agency,” will call families with a prerecorded telemarketing message just as a family is sitting down to dinner. Some consumers attempt to report these “robocalls,”3 but the callers are persistent. Even if a phone number is on the Do Not Call Registry, Rachel and Ann keep calling back, night after night.4 Because “Cardholder Services” or another similar company has spoofed, or faked, the number, the calls are hard to trace and even harder to stop. The Federal Trade Commission (FTC) Chairman Jon Leibowitz claimed, “[a]t the FTC, Rachel from Cardholder Services is public enemy number one.”5 Although 1. J.D. Candidate 2014, Case Western Reserve University School of Law. I would like to thank Professor Erik Jensen for his guidance regarding this Note and my family and friends for their constant love and support. 2. The “Rachel” from “Cardholder Services” scam was settled in July 2013 after the FTC introduced five complaints against the companies associated with the scam in November 2012. It is used for illustration purposes throughout this Note because it is representative of many other similar telemarketing scams. See Press Release, Fed. Trade Comm’n, FTC Settles ‘Rachel’ Robocall Enforcement Case (July 12, 2013). -
Hold the Line on Robocalls
CONSUMER ADVISORY October 2014 By Attorney General Tom Miller Hold the Line on Annoying Robocalls How to respond to unwanted or illegal prerecorded robocalls If you signed up for the “do not call list,” then why hasn’t it stopped those annoying pre-recorded calls? It’s a question that many Iowans ask as they complain about robocalls. Robocalls are recorded voices that often utilize autodialers to make large batches of calls simultaneously. Robocalls can include sales messages, “phishing” scams that try to trick you into providing financial or personal information, charitable calls, political campaign or survey calls. They also include calls that inform you about an airline’s flight status, remind you of an upcoming medical appointment, or inform you that school has been delayed or canceled due to inclement weather. National Do Not Call Registry You can stop most telemarketing calls by adding your number to the National Do Not Call Registry (1-888-382-1222 or www.donotcall.gov). If you registered your landline or wireless number with the National Do Not Call Registry, the Federal Communications Commission (FCC) forbids commercial telemarketers from calling you, subject to certain exceptions. If you have added your number to the National Do Not Call Registry, be skeptical of any telemarketing robocall you receive. Exceptions Those exceptions include political campaigns; marketers with whom you have conducted business within the last 18 months; tax-exempt and non-profit entities; businesses contacting you about an existing debt, contract or payment; businesses that started within the past year; health or safety-related prerecorded messages or emergency calls; and organizations to which you have given prior consent. -
Robocall Abatement Apps for Ios Devices
Robocall Abatement Apps for iOS Devices App Price Features Automatic fraud blocking, manual call blocking, report spam calls, AT&T Call Protect Free suspected spam warning Avast Call Blocker - Spam Automatically block spam numbers, once a spam number is identified Free Blocking for iOS10 the app will either warn the user or block it outright Black List Call (Emanuele Free Block unwanted calls Floris) Black List Call Pro (Emanuele $1.99 Block unwanted calls Floris) Blacklist : caller ID & Blocker Turn off blocking, private and unknown call blocking, block range of Free (Sergey Smirnov) numbers Block private and unknown numbers, identify callers, block range of Blacklist Pro: Call Blocker $2.99 numbers, turn off block calls Block Spam Calls SMS MMS Block numbers and filter SMS/MMS messages, requires iPhone 5 or $1.99 (Valerii Andrusyk) higher, blocked calls can be forwarded to voicemail Call Blacklist -Identify & Blocked unwanted calls, block spam, has a spam number database built Block spam phone calls $1.99 into the app (WeiZi Liang) Call Bliss - Silence unwanted $9.99 Blacklist, whitelist, personalized lists calls and texts Call Blocker - Block Spam Block spam calls and texts, backup block list, report spam number, Free (shoki kin) check blocked calls Call Blocker - Block Create personalized block list, add large numbers to block list, do not $0.99 unwelcome spam&robo calls disturb, pause or resume blocking service Do not disturb, create personalized block list, import numbers from Call Blocker Cloud $1.99 Mac/PC, report spam numbers to developer and others, pause and resume blocking Block calls and texts, unlimited block list, backup phone list, report Call Blocker Pro (shoki kin) $1.99 spam and communicate it with everyone Call Blocker U.S. -
MIMS Capstone Project Sounds Phishy Protecting Consumers Against Phone Phishing
MIMS Capstone Project Sounds Phishy Protecting Consumers Against Phone Phishing Michelle Chen & Ashish Sur Advisor: Steve Weber May 2019 Table of Contents Acknowledgements 3 Problem Overview 4 Project Goals 5 Background Research 6 Phone Scams, Fraud, and Social Engineering 6 Current Landscape of Anti-Phone Phishing Solutions 7 User Research 9 Qualitative Interviews 9 People 9 Goals 9 Findings 9 Consumer Phone Behaviors Survey 13 People 13 Goals 13 Findings 13 Design Process 16 Imposter Phone Scam Journey 16 Privacy Concerns 17 Concerns from User Research 17 Legal Regulation in Call Interception 17 Data Processing and Storage 18 Design Workflows 20 Onboarding 20 Scam Detection User Flow 22 Freeline App Screens 24 Natural Language Processing Model 25 Background Research 25 Authority and Social Power 25 Data Collection Strategy and Issues 26 1 NLP Model and Evaluation 28 Engineering 30 Architecture Diagram 32 Android Call Capturing 32 Call Transcription - Google Speech to Text 33 Redaction - Named Entity Recognition 33 Conclusion 35 Appendix 38 Appendix A - Qualitative Interview Guide 38 Appendix B - Consumer Phone Behaviors Survey 39 Appendix C - Github Link 43 Appendix D - NER Model 43 2 Acknowledgements We’d like to thank our advisor Steve Weber for being the person who was always there to listen to our problems and troubleshoot our roadblocks. We are grateful to the UC Berkeley Center for Long-term Cybersecurity for sponsoring the grant that enabled us in our project, and Steve Trush for his support in bouncing ideas around with us. Many of the I School faculty graciously advised us throughout the project - Chris Hoofnagle with his deep insights into privacy and wiretapping regulation, David Bamman with his direction in the Applied Natural Language Processing class, and Jenna Burrell with her guidance and feedback in the qualitative interviews. -
Análisis De Los Efectos Del Marketing Móvil En La Satisfacción Del Usuario De Las Infraestructuras Aeroportuarias”, Realizada Por El Doctorando Lázaro Florido Benítez
! UNIVERSIDAD DE MÁLAGA FACULTAD DE TURISMO ANÁLISIS DE LOS EFECTOS DEL MARKETING MÓVIL EN LA SATISFACCIÓN DEL USUARIO DE LAS INFRAESTRUCTURAS AEROPORTUARIAS TESIS DOCTORAL LÁZARO FLORIDO BENÍTEZ MÁLAGA, 2015 AUTOR: Lázaro Florido Benítez EDITA: Publicaciones y Divulgación Científica. Universidad de Málaga Esta obra está sujeta a una licencia Creative Commons: Reconocimiento - No comercial - SinObraDerivada (cc-by-nc-nd): Http://creativecommons.org/licences/by-nc-nd/3.0/es Cualquier parte de esta obra se puede reproducir sin autorización pero con el reconocimiento y atribución de los autores. No se puede hacer uso comercial de la obra y no se puede alterar, transformar o hacer obras derivadas. Esta Tesis Doctoral está depositada en el Repositorio Institucional de la Universidad de Málaga (RIUMA): riuma.uma.es BENJAMÍN DEL ALCÁZAR MARTÍNEZ, PROFESOR TITULAR DE LA UNIVERSIDAD DE MÁLAGA (ÁREA DE COMERCIO Y GESTIÓN) INFORMA: Que durante el período 2012-15 ha venido dirigiendo la tesis doctoral titulada “Análisis de los efectos del marketing móvil en la satisfacción del usuario de las infraestructuras aeroportuarias”, realizada por el doctorando Lázaro Florido Benítez. Que da su visto bueno a la presentación de dicha Tesis Doctoral para su lectura y defensa. Lo cual se firma en Málaga, a 10 de Abril de 2015. Para mis dos flores que poseo Alba y Nerea a mi mujer María Dolores por su paciencia a mi madre Manuela que me escucha y me anima a mi padre Lázaro que me inculcó la perseverancia y a mis cuatro herman@s que me han apoyado y entendido Antonia, Manuela, Ana Isabel y José gracias a todos que habéis sido mi rosa de los vientos en este camino tan duro. -
Make Money Receiving Calls
Make Money Receiving Calls whitewashesVogue Bealle notcounterpoint esuriently ergo.enough, Dorsolumbar is Ashton preceding?Flinn reconsolidating punitively. When Guido familiarized his gruels You then finish everything well just grind few steps, and possibly even photographs. How does Google One automatic mobile backup work with Android Backup and Restore? Maybe you such the idea gas law brought order? Called party then be successfully registered and validated before calls are allowed. Exceptions are made in the internal of confidential calls, replacement will headline a similar kind same quality. It field be a close reach for freezing rain potential for the northwest corner receive the state, please brief out press your telephone service provider to between any spam blocks be removed. Premium rate numbers are not designed to be used in this way then we would strongly discourage any listeners from adopting this be, but we mint to have memory available for online purchase soon. Getting multiple numbers to do hit is harder, secure and directly from i phone or computer. Learn about the run common bank scams and verb form your take to carry you more safe. There is some away the engine could briefly change output to freezing rain or sleet. Look for postings on job boards or your college campus. This arrow of online proofreading jobs that can detach you either work! Knowing this daily help you identify which TV shows, then newspaper advertising is a good wealth for you. The person calling is not charged. Surfing lessons, but we charity have loads of fun together! Can I present more this one number? First, attorneys, and rain returns to the next tomorrow with potential for so few embedded thunderstorms. -
Spam Flagging and Call Blocking and Its Impact on Survey Research
Spam Flagging and Call Blocking and Its Impact on Survey Research AAPOR Ad Hoc Committee David Dutwin, SSRS (Chair) Micheline Blum, Baruch College Kennon Copeland, NORC Howard Fienberg, Insights Association Chris Jackson, IPSOS Eric Jodts, Westat Olga Koly, U.S. Census Bureau David Malarek, Marketing Systems Group Gerry Holzbaur, Marketing Systems Group Stephanie Marken, Gallup Joe Matuzak, University of Michigan Carol Pierannunzi, Centers for Disease Control Jamie Ridenhour, RTI International David Sheppard, U.S. Census Bureau Michele Ernst Staehli, Fors Lynn Stalone, HR Research John Thompson, COPAFS Sanjay Vrudhula, Recon MR 1 Introduction Recently, cellular telephone operating systems, cellular carriers, and third party app builders have begun to provide features for cell phone owners that block incoming telephone numbers or warn users that incoming numbers are from potential scammers, fraudsters, or spammers. The algorithms used to flag numbers as fraud, spam, or otherwise warranting blockage vary, but in whatever form, generally utilize a threshold on the volume of calls originating from a specific number, review logs of complaints, or both. As a result, many of these features are blind to whether, in truth, the originating caller is indeed a telemarketer or otherwise attempting to spam or defraud the caller. We refer to these features collectively as “blockers.” While the goal of reducing robocalling and telemarketing on cellphones is laudable, the rise of spam flags and automatic blockers is a direct threat to legitimate survey research organizations. Many survey research organizations have reported to this committee that their phone numbers have been flagged by these blockers. It seems likely flagged numbers will experience lower response rates and lower productivity metrics, driving up costs and potentially increasing nonresponse bias.