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Troy Hunt: Have I been pwned and spam lists of personal information
One of the things I'm finding with running Have I been pwned (HIBP) is that over time, my approach is changing. Nothing dramatic thus far, usually just what I'd call "organic" corrections in direction and usually in response to things I've learned, industry events or changes in the way people are using the service. For example, the Ashley Madison hack led to the concept of a sensitive breach which meant ensuring that data from certain incidents is not publicly searchable. More recently I introduced API rate limiting as I was seeing the service being used in ways that worried me. Times change, things move on.
online_privacy  spam  hcds  infosec  ethics 
5 days ago by jaimoe
DMARC.org | Compilation of Resources
Originally started as an informal “coalition of the willing” in 2010 focused on producing a practical technical standard, in February 2015 DMARC.org became an initiative under the Trusted Domain Project, a non-profit and tax-exempt public benefit corporation in the State of California.

DMARC.org’s mission is to promote the use of DMARC and related email authentication technologies to reduce fraudulent email, in a way that can be sustained at Internet scale.

This goal is pursued primarily through education, delivered as a combination of articles, tutorials, conference presentations, and webinars.
Spam  EN  DMARC  Resources  email  SysAdmin  MailServer  Secutity  FreePaid 
7 days ago by abetancort
Universal adversarial perturbations
in today’s paper Moosavi-Dezfooli et al., show us how to create a _single_ perturbation that causes the vast majority of input images to be misclassified.
adversarial-classification  spam  image-recognition  ml  machine-learning  dnns  neural-networks  images  classification  perturbation  papers 
10 days ago by jm
Using chatbots against voicespam: analyzing Lenny’s effectiveness | the morning paper
Lenny, the chatbot deployed to waste the time of spam callers, has no actual voice recognition. It keeps people engaged (very effectively) because it exploits underlying "turn-taking" mechanisms in human speech.
ai  spam  via:HackerNews 
13 days ago by mcherm
White Ops, Trade Desk partner to tackle ad fraud | ZDNet
White Ops and The Trade Desk have announced a new deal which aims to prevent malvertising and fraudulent ads from causing businesses losses in revenue.
On Thursday, the companies said the "landmark" agreement "completely changes how the advertising industry tackles fraud" by going back to the basics with human control at the end of each impression served.

Malvertising and fraudulent ads, which lead to click-fraud and data theft or may be utilized by bots to generate fraudulent revenue for cyberattackers, unfortunately, are a serious issue for marketers, companies, and the general public alike.

Businesses face revenue loss in the face of ad-click fraud, and reputations can take a hit when fake ads slip through ad network nets, such as in the case of the Daily Mail, in which millions of readers were exposed to the Angler exploit kit thanks to a malicious ad.
brandsafety  trends  deals  partnerships  spam  fraud 
15 days ago by dancall
Robotrolling 2017/1
Two in three Twitter users who write in Russian about the NATO presence in Eastern Europe are robotic or ‘bot’ accounts. Together, these accounts created 84% of the total Russian-language messages. The English language space is also heavily affected: 1 in 4 active accounts were likely automated and were responsible for 46% of all English-language content. Of the four states considered—Estonia, Latvia, Lithuania, and Poland—Estonia has disproportionately frequently been targeted by bots, whereas Poland and Lithuania have seen the least automated activity.
Our impression is that Twitter in Russian is policed less effectively than it is in English. Despite the high presence of automated activity, the period considered saw no large-scale, coordinated robotic campaigns. The vast majority of bot activity is apolitical spam. For this reason, the polluted state of Twitter conversations about the NATO presence may be indicative of Twitter as a whole. The implications are stark: the democratising possibilities of social media appear—at least in the case of Twitter in Russia—to have been greatly undermined. The findings presented have practical implications for any policy maker, journalist, or analyst who measures activity on Twitter. Failure to account for bot activity will—at best—result in junk statistics.
This is the first issue of ‘Robotrolling’, a regular product about automation in social media published quarterly by NATO StratCom COE.
social_media  twitter  robot  troll  russia  spam  politics 
18 days ago by rgl7194

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