Context

A listing of the top 1-million websites according to Alexa.com.

Content

Rank and Site name

Acknowledgements

Fork from: https://github.com/mozilla/cipherscan/tree/master/top1m

The Alexa Top 1 Million dataset is used to generate realistic domain samples.

This dataset is composed of the URLs of the top 1 million websites. The domains are ranked using the Alexa traffic ranking which is determined using a combination of the browsing behavior of users on the website, the number of unique visitors, and the number of pageviews. In more detail, unique visitors are the number of unique users who visit a website on a given day, and pageviews are the total number of user URL requests for the website. However, multiple requests for the same website on the same day are counted as a single pageview. The website with the highest combination of unique visitors and pageviews is ranked the highest

This data is obtained daily by crawling the Alexa Top 1 Million sites and will soon include the Cisco Umbrella Top 1 Million. It includes data on the presence and configuration of various HTTP Response Headers, details on the TLS configuration, certificates, protocol, cipher and keys used and much more. These crawls were originally conducted every 6 months and the data published on my blog but I'm now crawling daily and making the data available to the wider community for further analysis. ; mail@scotthelme.co.uk

A dataset containing both DGA and normal domain names. The normal domain names were taken from the Alexa top one million domains. An additional 3,161 normal domains were included in the dataset, provided by the Bambenek Consulting feed. This later group is particularly interesting since it consists of suspicious domain names that were not generated by DGA. Therefore, the total amount of domains normal in the dataset is 1,003,161. DGA domains were obtained from the repositories of DGA domains of Andrey Abakumov and John Bambenek. The total amount of DGA domains is 1,915,335, and they correspond to 51 different malware families. DGA domains were generated by 51 different malware families. About the 55% of of the DGA portion of dataset is composed of samples from the Banjori, Post, Timba, Cryptolocker, Ramdo and Conficker malware.

The dataset contains Normal, DGA and Tunneling domain names: i. the total number of normal domains are conformed by the Alexa top one million domains, 3,161 normal domains provided by the Bambenek Consulting feed, and another 177,017 normal domains; ii. the DGA domains were obtained from the repositories of DGA domains of Andrey Abakumov and John Bambenek, corresponding to 51 different malware families; iii. the DNS Tunneling consist of 8000 tunnel domains generated using a set of well known DNS tunneling tools under laboratory conditions: iodine, dnscat2 and dnsExfiltrator.

The dataset is described in the paper:
Palau, F., Catania, C., Guerra, J., García, S. J., & Rigaki, M. (2019). Detecting DNS threats: A deep learning model to rule them all. In XX Simposio Argentino de Inteligencia Artificial (ASAI 2019)-JAIIO 48 (Salta).

The Alexa rank of nykaa.com moved from 4.8 thousand to more than seven thousand between January and March 2021. This indicated a decrease in the popularity of the website. In comparison, purplle.com, one of Nykaa's competitors, ranked at around 25 thousand, while Myntra ranked at about one thousand.

In 2020, there will be *** billion digital voice assistants being used in devices around the world. Forecasts suggest that by 2024, the number of digital voice assistants will reach *** billion units – a number higher than the world’s population. Virtual assistants Virtual assistants, an increasingly commonplace feature of many consumer electronics devices, can respond to commands, provide users with information, and assist in the control of other connected electronics. There are over *** million virtual assistant users in the United States alone, and the software is especially common in smartphones and smart speakers. As of 2019, Amazon’s Alexa was supported on around ****** different smart home devices around the world, providing an excellent example of just how popular the software has become. “Smart” everything Virtual assistants have become a key component of the smart device industry, being absolutely integral to the way that consumers interact with their devices. As the industry grows and its technology becomes more advanced, companies are increasingly searching for bigger and better uses of “smart” technology. Tech savvy consumers can now communicate with their connected homes and vehicles in much the same way that they can with their smartphones.

Amazon is the leading vendor in the global smart speaker market, having a market share of **. percent in the first quarter of 2022. Google is Amazon’s closest competitor, with a share of **** percent in the same quarter. Chinese vendors Baidu, Alibaba and Xiaomi have become strong players in recent quarters, thanks to growing demand in the Chinese domestic market. Smart speaker A wireless speaker with an integrated virtual voice assistant, a smart speaker performs tasks such as seeking information, playing music, making a shopping list, etc., upon receiving voice commands from users. Since Amazon introduced its pioneering Echo speaker into the consumer market in 2015, the smart speaker has gained increasing popularity among consumers. The market became more dynamic after Google entered the competition with its Google Home speaker and shipment figures went up dramatically, from **** million in 2016 to a projected *** million in 2021.