Bots Mw2
Analisa Wack
Efforts by web servers to restrict bots vary. Some servers have a robots.txt file that contains the rules governing bot behavior on that server. Any bot that does not follow the rules could, in theory, be denied access to or removed from the affected website. If the posted text file has no associated program/software/app, then adhering to the rules is entirely voluntary. There would be no way to enforce the rules or to ensure that a bot's creator or implementer reads or acknowledges the robots.txt file. Some bots are "good", e.g. search engine spiders, while others are used to launch malicious attacks on political campaigns, for example.[3]
Some bots communicate with users of Internet-based services, via instant messaging (IM), Internet Relay Chat (IRC), or other web interfaces such as Facebook bots and Twitter bots. These chatbots may allow people to ask questions in plain English and then formulate a response. Such bots can often handle reporting weather, zip code information, sports scores, currency or other unit conversions, etc.[4] Others are used for entertainment, such as SmarterChild on AOL Instant Messenger and MSN Messenger.[citation needed]
Additional roles of an IRC bot may be to listen on a conversation channel, and to comment on certain phrases uttered by the participants (based on pattern matching). This is sometimes used as a help service for new users or to censor profanity.[citation needed]
Social bots are sets of algorithms that take on the duties of repetitive sets of instructions in order to establish a service or connection among social networking users. Among the various designs of networking bots, the most common are chat bots, algorithms designed to converse with a human user, and social bots, algorithms designed to mimic human behaviors to converse with patterns similar to those of a human user. The history of social botting can be traced back to Alan Turing in the 1950s and his vision of designing sets of instructional code approved by the Turing test. In the 1960s Joseph Weizenbaum created ELIZA, a natural language processing computer program considered an early indicator of artificial intelligence algorithms. ELIZA inspired computer programmers to design tasked programs that can match behavior patterns to their sets of instruction. As a result, natural language processing has become an influencing factor to the development of artificial intelligence and social bots. And as information and thought see a progressive mass spreading on social media websites, innovative technological advancements are made following the same pattern.[citation needed]
Reports of political interferences in recent elections, including the 2016 US and 2017 UK general elections,[5] have set the notion of bots being more prevalent because of the ethics that is challenged between the bot's design and the bot's designer. Emilio Ferrara, a computer scientist from the University of Southern California reporting on Communications of the ACM,[6] said the lack of resources available to implement fact-checking and information verification results in the large volumes of false reports and claims made about these bots on social media platforms. In the case of Twitter, most of these bots are programmed with search filter capabilities that target keywords and phrases favoring political agendas and then retweet them. While the attention of bots is programmed to spread unverified information throughout the social media platforms,[7] it is a challenge that programmers face in the wake of a hostile political climate. The Bot Effect is what Ferrera reported as the socialization of bots and human users creating a vulnerability to the leaking of personal information and polarizing influences outside the ethics of the bot's code, and was confirmed by Guillory Kramer in his study where he observed the behavior of emotionally volatile users and the impact the bots have on them, altering their perception of reality.[citation needed]
There has been a great deal of controversy about the use of bots in an automated trading function. Auction website eBay took legal action in an attempt to suppress a third-party company from using bots to look for bargains on its site; this approach backfired on eBay and attracted the attention of further bots. The United Kingdom-based bet exchange, Betfair, saw such a large amount of traffic coming from bots that it launched a WebService API aimed at bot programmers, through which it can actively manage bot interactions.[citation needed]
A rapidly growing, benign form of internet bot is the chatbot. From 2016, when Facebook Messenger allowed developers to place chatbots on their platform, there has been an exponential growth of their use on that app alone. 30,000 bots were created for Messenger in the first six months, rising to 100,000 by September 2017.[10] Avi Ben Ezra, CTO of SnatchBot, told Forbes that evidence from the use of their chatbot building platform pointed to a near future saving of millions of hours of human labor as 'live chat' on websites was replaced with bots.[11]
Companies use internet bots to increase online engagement and streamline communication. Companies often use bots to cut down on cost; instead of employing people to communicate with consumers, companies have developed new ways to be efficient. These chatbots are used to answer customers' questions: for example, Domino's developed a chatbot that can take orders via Facebook Messenger. Chatbots allow companies to allocate their employees' time to other tasks.[12]
One example of the malicious use of bots is the coordination and operation of an automated attack on networked computers, such as a denial-of-service attack by a botnet. Internet bots or web bots can also be used to commit click fraud and more recently have appeared around MMORPG games as computer game bots. Another category is represented by spambots, internet bots that attempt to spam large amounts of content on the Internet, usually adding advertising links. More than 94.2% of websites have experienced a bot attack.[3]
in 2012, journalist Percy von Lipinski reported that he discovered millions of bots or botted or pinged views at CNN iReport. CNN iReport quietly removed millions of views from the account of iReporter Chris Morrow.[19] It is not known if the ad revenue received by CNN from the fake views was ever returned to the advertisers.[citation needed]
The most widely used anti-bot technique is the use of CAPTCHA. Examples of providers include Recaptcha, Minteye, Solve Media and NuCaptcha. However, captchas are not foolproof in preventing bots, as they can often be circumvented by computer character recognition, security holes, and outsourcing captcha solving to cheap laborers.[citation needed]
Min-Sun Kim proposed five concerns or issues that may arise when communicating with a social robot, and they are avoiding the damage of peoples' feelings, minimizing impositions, disapproval from others, clarity issues, and how effective their messages may come across.[2]
Many threat actors are actively engaged in building massive botnets, with the biggest ones spanning millions of computers. Often, the botnet can grow itself, for example by using infected devices to send out spam emails, which can infect more machines.
Botnet owners use them for large-scale malicious activity, commonly Distributed Denial of Service (DDoS) attacks. Botnets can also be used for any other malicious bot activity, such as spam bots or social bots (described below), albeit on a much larger scale.
Spider bots, also known as web spiders or crawlers, browse the web by following hyperlinks, with the objective of retrieving and indexing web content. Spiders download HTML and other resources, such as CSS, JavaScript, and images, and use them to process site content.
If you have a large number of web pages, you can place a robots.txt file in the root of your web server, and provide instructions to bots, specifying which parts of your site they can crawl, and how frequently.
Scrapers are bots that read data from websites with the objective of saving them offline and enabling their reuse. This may take the form of scraping the entire content of web pages or scraping web content to obtain specific data points, such as names and prices of products on eCommerce sites.
A spambot is an Internet application designed to gather email addresses for spam mailing lists. A spam bot can gather emails from websites, social media websites, businesses and organizations, leveraging the distinctive format of email addresses.
Bots are operated on social media networks, and used to automatically generate messages, advocate ideas, act as a follower of users, and as fake accounts to gain followers themselves. It is estimated that 9-15% of Twitter accounts are social bots.
Social bots can be used to infiltrate groups of people and used to propagate specific ideas. Since there is no strict regulation governing their activity, social bots play a major role in online public opinion.
Download bots are automated programs that can be used to automatically download software or mobile apps. They can be used to influence download statistics, for example to gain more downloads on popular app stores and help new apps get to the top of the charts. They can also be used to attack download sites, creating fake downloads as part of an application-layer Denial of Service (DoS) attack.
Ticketing Bots are an automated way to purchase tickets to popular events, with the aim of reselling those tickets for a profit. This activity is illegal in many countries, and even if not prohibited by law, it is an annoyance to event organizers, ticket sellers and consumers.
Ticketing bots tend to be very sophisticated, emulating the same behaviors as human ticket buyers. In many ticketing domains, the proportion of tickets purchased by automated bots ranges between 40-95%.
All of the above are only rough indicators of bot activity. Be aware that sophisticated malicious bots can generate a realistic, user-like signature in your web analytics. It is advisable to use a dedicated bot management solution that provides full visibility of bot traffic.
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