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.
Speed is a critical factor in Internet traffic. When speed increases, users stream and download greater volumes of content, and adaptive bit-rate streaming increases bit rates automatically according to available bandwidth. Service providers find that users with greater bandwidth generate more traffic. By 2022, households with high-speed fiber connectivity will generate 23 percent more traffic than households connected by DSL or cable broadband, globally (Figure 26). The average FTTH household generated 86 GB per month in 2017 and will generate 264 GB per month by 2022.
Affiliate marketing currently lacks industry standards for training and certification. There are some training courses and seminars that result in certifications; however, the acceptance of such certifications is mostly due to the reputation of the individual or company issuing the certification. Affiliate marketing is not commonly taught in universities, and only a few college instructors work with Internet marketers to introduce the subject to students majoring in marketing.
Spam is the biggest threat to organic search engines, whose goal is to provide quality search results for keywords or phrases entered by their users. Google's PageRank algorithm update ("BigDaddy") in February 2006—the final stage of Google's major update ("Jagger") that began in mid-summer 2005—specifically targeted spamdexing with great success. This update thus enabled Google to remove a large amount of mostly computer-generated duplicate content from its index.
The rapid growth of mobile data traffic has been widely recognized and reported. The trend toward mobility carries over into the realm of fixed networks as well, in that an increasing portion of traffic will originate from portable or mobile devices. Figure 21 shows the growth in Wi-Fi and mobile traffic in relation to traffic from wired devices. By 2022, wired networks will account for 29 percent of IP traffic, and Wi-Fi and mobile networks will account for 71 percent of IP traffic. In 2017, wired networks accounted for 48 percent of IP traffic; Wi-Fi accounted for 43 percent; and mobile or cellular networks accounted for 9 percent of total global IP traffic.
With the exception of short-form video and video calling, most forms of Internet video do not have a large upstream component. As a result, traffic is not becoming more symmetric, a situation that many expected when user-generated content first became popular. The emergence of subscribers as content producers is an extremely important social, economic, and cultural phenomenon, but subscribers still consume far more video than they produce. Upstream traffic has been slightly declining as a percentage for several years.
Cost per click was more common in the early days of affiliate marketing but has diminished in use over time due to click fraud issues very similar to the click fraud issues modern search engines are facing today. Contextual advertising programs are not considered in the statistic pertaining to the diminished use of cost per click, as it is uncertain if contextual advertising can be considered affiliate marketing.
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.
● Quantifiable impact of IoT connections and applications is creating new network demands and requirements. IoT connections will represent more than half (14.6 billion) of all global connected devices and connections (28.5 billion) by 2022. While IoT includes a wide variety of low-bandwidth to high-bandwidth applications (from smart meters to smart cars), the segment will represent more than 6 percent of global IP traffic by 2022 (up from just over 3 percent in 2017). In addition to traffic growth ramifications, IoT is also a catalyst for fixed/mobile convergence network innovations and comprehensive network security improvements.
DDoS attacks can represent up to 25 percent of a country’s total Internet traffic while they are occurring (Figure 17). In 2017 the top motivation behind DDoS attacks was criminals demonstrating attack capabilities, with gaming and criminal extortion attempts in second and third place, respectively. The events from 2017 and the first quarter of 2018 once again demonstrated that the attackers are increasing their computing resources to perform DDoS attacks. Amplification attackers, who have tools for carrying out a DDoS attack, exploit vulnerabilities in the network and compute resources. Security vendors continue to make sure these attacks are financially unviable for the cybercriminals.
Smartphones will grow the second fastest, at a 9 percent CAGR (increasing by a factor of 1.6). Connected TVs (which include flat-panel TVs, set-top boxes, digital media adapters [DMAs], Blu-ray disc players, and gaming consoles) will grow next fastest at 7 percent CAGR, to 3.2 billion by 2022. PCs will continue to decline (a 2.5 percent decline) over the forecast period. However, there will more PCs than tablets throughout the forecast period and by the end of 2022 (1.2 billion PCs vs. 790 million tablets).
Also, of note in the recent forecast is the growing number of countries whose fixed traffic growth rivals that of their mobile traffic growth. United States is the outlier, with a fixed growth of 26 percent in 2017 and a mobile growth of 23 percent over the same time period. Japan, Korea, Canada, Germany and Sweden, all have fixed growth that is only slightly lower than their mobile growth. The majority of countries still have significantly higher growth rates for mobile than for fixed.
Work involving supervised machine learning to classify network traffic. Data are hand-classified (based upon flow content) to one of a number of categories. A combination of data set (hand-assigned) category and descriptions of the classified flows (such as flow length, port numbers, time between consecutive flows) are used to train the classifier. To give a better insight of the technique itself, initial assumptions are made as well as applying two other techniques in reality. One is to improve the quality and separation of the input of information leading to an increase in accuracy of the Naive Bayes classifier technique.
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