There were a total of 864 breaches with a total of nearly 34.2 million records exposed as of the month of September in 2018. The number of records exposed per data breach averaged 39,554 year-to-date in 2018, according to 2018 Identity Theft Resource Center, with the highest number of records exposed in the business category. Average cost of a lost or stolen record continues to increase, according to the IBM Security and Ponemon Institute 2018 Cost of Data Breach Study and it is globally $148 in 2018 compared to an average of $141 in 2017. The extensive use of IoT devices increased cost by $5 per compromised record. The United States and Canada have the highest per capita costs of data breaches, at $233 and $202. India and Brazil have the lowest per capita costs, at $68 and $67 respectively.
Although average Internet traffic has settled into a steady growth pattern, busy hour traffic (or traffic in the busiest 60 minute period of the day) continues to grow more rapidly than average Internet traffic. Service providers plan network capacity according to peak rates rather than average rates. Between 2017 and 2022, global busy hour Internet use will grow at a CAGR of 37 percent, compared with 30 percent for average Internet traffic (Figure 23).

Per capita IP and Internet traffic growth has followed a similarly steep growth curve over the past decade. Globally, monthly IP traffic will reach 50 GB per capita by 2022, up from 16 GB per capita in 2017, and Internet traffic will reach 44 GB per capita by 2022, up from 13 GB per capita in 2017. Ten years ago, in 2007, per capita Internet traffic was well under 1 GB per month. In 2000, per capita Internet traffic was 10 Megabytes (MB) per month.
●   Virtual reality and augmented reality: With new hardware available to individuals, and a growing body of content to consume, VR and AR are expected to continue a high growth trajectory through this forecast period (2017 – 2022). Traffic associated with virtual and augmented reality applications is poised to grow 12-fold over the next five years (65 percent CAGR). This growth stems mainly from the download of large virtual reality content files and applications, but a significant wild card is the potential adoption of virtual reality streaming, which could raise our prediction of high-growth even higher.

Anecdotal evidence supports the idea that overall use increases when speed increases, although there is often a delay between the increase in speed and the increased use, which can range from a few months to several years. The reverse can also be true with the burstiness associated with the adoption of tablets and smartphones, where there is a delay in experiencing the speeds that the devices can support. The Cisco VNI Forecast relates application bit rates to the average speeds in each country. Many of the trends in the resulting traffic forecast can be seen in the speed forecast, such as the high growth rates for developing countries and regions relative to more developed areas (Table 6).


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Blogger, which you can set up for free in less than five minutes, automates Google AdSense so that you can make money with your blog by displaying ads and getting paid when people click on the ads. To make more money, set up an affiliate program (see below) for books, music, and more, and insert your affiliate links whenever you refer to those items. A good strategy to set you on the path to success is selecting a unique topic, writing intelligent copy, and telling all your friends. You'll be off to a better start with a targeted audience.
Sites like Share-A-Sale and Amplifinity provide referral fees. Vendors set the referral fees they're willing to pay and for what services. When the transaction happens, you get paid by the company for introducing a new customer to them. uRefer also allows merchants to set up referral programs for introductions and meetings, in addition to any transactions made.
The next step is to reconcile the Internet, managed IP, and mobile segments of the forecast. The portion of mobile data traffic that has migrated from the fixed network is subtracted from the fixed forecast, and the amount of mobile data traffic offloaded onto the fixed network through dual-mode devices and femtocells is added back to the fixed forecast.
Broadband speed is a crucial enabler of IP traffic. Broadband-speed improvements result in increased consumption and use of high-bandwidth content and applications. The global average broadband speed continues to grow and will double from 2017 to 2022, from 39.0 Mbps to 75.4 Mbps. Table 4 shows the projected broadband speeds from 2017 to 2022. Several factors influence the fixed broadband-speed forecast, including the deployment and adoption of Fiber-to-the-home (FTTH), high-speed DSL, and cable broadband adoption, as well as overall broadband penetration. Among the countries covered by this study, Japan, South Korea, and Sweden lead within the Cisco VNI countries in terms of broadband speed largely because of their wide deployment of FTTH.
Critical enablers of Hotspot 2.0 adoption are higher speed Wi-Fi gateways and the adoption of the IEEE 802.11ac and the latest 802.11ax standards. Globally, the prevalence of IEEE 802.11ac, the latest Wi-Fi standard, will gain momentum from 2017 through 2022. By 2022, 86.9 percent of all Small Office Home Office (SOHO) Wi-Fi routers will be equipped with 802.11ac. IEEE 802.11n, which was ratified in 2007, provides a range of speeds that allow users to view medium-resolution video streaming because of the higher throughput. IEEE 802.11ac, with very high theoretical speeds, is considered a true wired complement and can enable higher definition video streaming and services with use cases that require higher data rates. The latest 802.11ax also called the High-Efficiency Wireless (HEW), has the goal of improving the average throughput per user by a factor of at least four times in dense user environments. It will enable dense IoT deployments. By 2022, 9.5% of total SOHO routers will be equipped with 802.11ax (Figure 20).
Internet bandwidth in telecommunication networks has been doubling every 18 months, an observation expressed as Edholm's law.[31] This follows the advances in semiconductor technology, such as metal-oxide-silicon (MOS) scaling, exemplified by the MOSFET transistor, which has shown similar scaling described by Moore's law. In the 1980s, fiber-optical technology using laser light as information carriers accelerated transmission speed and bandwidth of telecommunication circuits. This has led to the bandwidths of communication networks achieving terabit per second transmission speeds.[32]
Some advertisers offer multi-tier programs that distribute commission into a hierarchical referral network of sign-ups and sub-partners. In practical terms, publisher "A" signs up to the program with an advertiser and gets rewarded for the agreed activity conducted by a referred visitor. If publisher "A" attracts publishers "B" and "C" to sign up for the same program using his sign-up code, all future activities performed by publishers "B" and "C" will result in additional commission (at a lower rate) for publisher "A".

From a traffic perspective, we expect that on average a household that is still on linear TV will generate much less traffic than a household that has “cut the cord” and is relying on Internet video (Figure 16). A cord-cutting household generated 141 GB per month in 2017, compared to 82 GB per month for an average household. This difference occurs because linear television generates much less traffic (one stream of video shared across numerous linear-TV households) than Internet video, which is unicast to each Internet video device.
After MOU have been estimated for each sub segment of video, the next step is to apply kilobytes (KB) per minute. To calculate KB per minute, first the regional and country average broadband speeds are estimated for the years 2017 through 2022. For each application category, a representative bit rate is established, and this representative bit rate grows at approximately the same pace as the broadband speed. For video categories, a 7 percent annual compression gain is applied to the bit rate. Local bit rates are then calculated based on how much the average broadband speed in the country differs from the global average, the digital screen size in the country, and the computing power of the average device in the country. Combining these factors yields bit rates that are then applied to the MOU.

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