<tt id="6hsgl"><pre id="6hsgl"><pre id="6hsgl"></pre></pre></tt>
          <nav id="6hsgl"><th id="6hsgl"></th></nav>
          国产免费网站看v片元遮挡,一亚洲一区二区中文字幕,波多野结衣一区二区免费视频,天天色综网,久久综合给合久久狠狠狠,男人的天堂av一二三区,午夜福利看片在线观看,亚洲中文字幕在线无码一区二区
          Global EditionASIA 中文雙語Fran?ais
          World
          Home / World / Across Asia

          AI-driven bots make up half of web traffic: Report

          Updated: 2025-05-27 10:55
          Share
          Share - WeChat

          Automated bot traffic surpassed the human-generated type for the first time in a decade, constituting 51 percent of all web traffic in 2024, according to a recent report.

          This shift is attributed to the rise of artificial intelligence and Large Language Models, which have made it easier to create and scale bots for malicious purposes, the report said.

          The 2025 Imperva Bad Bot Report, released in late April by cybersecurity firm Imperva, drew from data collected in 2024, including the blocking of 13 trillion bad bot requests across thousands of domains and industries.

          It compared bot traffic between 2023 and 2024, and found bad bots to be most prevalent in the gambling, gaming, automotive and travel sectors.

          Of the total bot traffic, 37 percent were found to be malicious activities, including data scraping, payment fraud, account takeovers, theft of credentials and distributed denial-of-service, or DDoS. DDoS attackers make websites unavailable to legitimate users by flooding the sites with queries.

          With the help of AI, bad bots can mimic human behavior — including mouse movements and clicks — making them difficult to detect and block, said the report.

          "The surge in AI-driven bot creation has serious implications for businesses worldwide," said Tim Chang, general manager of application security at Thales, a global cybersecurity company.

          The emergence of advanced AI tools — including ChatGPT, Byte-Spider Bot, ClaudeBot, Google Gemini, Perplexity AI and Cohere — has transformed the methods by which attackers execute cyber threats.

          For instance, bad bots automatically crack outdated mobile applications that do not enforce mandatory updates, write codes to increase attack volumes and collect large quantities of sensitive data.

          In 2024, Imperva blocked an average of 2 million AI-powered cyberattacks daily.

          Such traffic typically comes in the form of social media post hijacking, where bots produce inflammatory or empathetic messages to rouse viewers to engage with the content, said Jan Sysmans, Appdome's mobile app security evangelist based in Singapore.

          "The people behind these bots are trying to propagate their own agenda and create tension to spark a flame," he added.

          "There isn't a standard way these bots approach (hijacking). It just encourages users to engage in the content, which influences their algorithm. Subsequently, users will get fed more of such inflammatory or empathetic content, creating an echo chamber effect."

          Globally, the travel sector is the most targeted, accounting for over a quarter of all bot attacks. It is trailed by the retail, education and financial services sector, according to the Imperva study.

          Notably, travel websites face an increase in simple bot attacks, possibly launched by less sophisticated criminals using AI tools.

          Disrupting travel

          These attacks include "seat spinning", where bots simulate the booking process of flight tickets up to the payment step, without completing the purchase. This hogs tickets and denies potential customers access to them, disrupting airline businesses and jeopardizing their reputation.

          AI tools flooding travel websites with traffic may also inflate the demand and costs of tickets.

          Online retailers faced threats, including scalping, credential stuffing, gift card fraud and DDoS — all year round in 2024 as opposed to just during festive seasons in 2023.

          Scalping involves buying many of the same items such as limited edition goods or concert tickets at the usual price and reselling them at higher prices.

          Credential stuffing involves taking over someone's online account using stolen usernames and passwords.

          Financial services, telecom, healthcare and retail are the most targeted industries for bot attacks on application programming interfaces, or APIs.

          These sectors depend on APIs for critical operations and sensitive transactions, making them prime targets for such sophisticated bot attacks.

          APIs act like a bridge between applications, allowing them to share data. For instance, an e-commerce platform that accepts credit card payments or bank transfers is linked via APIs to the payment service firm or the bank.

          Bots typically steal customer information or competitive intelligence, abuse promotional mechanisms and exploit vulnerabilities in checkout systems for fraud, according to the study.

          "Businesses need to take steps to protect themselves from bots and online fraud," Imperva said, urging businesses to implement multifactor authentication measures and real-time bot detection to protect customers.

          On how internet users should protect themselves from falling prey to the effects of bad bots, Sysmans said: "It is going to be very hard, with how advanced AI and technology is now. But one must always be vigilant and ask, 'Is this too good to be true?'"

          THE STRAITS TIMES, SINGAPORE

          Most Viewed in 24 Hours
          Top
          BACK TO THE TOP
          English
          Copyright 1995 - . All rights reserved. The content (including but not limited to text, photo, multimedia information, etc) published in this site belongs to China Daily Information Co (CDIC). Without written authorization from CDIC, such content shall not be republished or used in any form. Note: Browsers with 1024*768 or higher resolution are suggested for this site.
          License for publishing multimedia online 0108263

          Registration Number: 130349
          FOLLOW US
          主站蜘蛛池模板: 国内少妇人妻偷人精品视频| 国产精品久久久久久久久久免费| av国产剧情一区二区三区| 久久久亚洲欧洲日产国码农村| 久久精品亚洲乱码伦伦中文| 国产在线精品综合色区| 天天躁日日躁狠狠躁中文字幕| 国产亚洲精品黑人粗大精选| 欧美野外伦姧在线观看| 亚洲爆乳WWW无码专区| 日韩精品亚洲 国产| 五月丁香六月综合缴清无码| 亚洲最大福利视频网| 欧美 亚洲 国产 日韩 综AⅤ| 国产在线精品综合色区| 亚洲欧洲日产国码久在线| 国产精品亚洲一区二区z| 成人一区二区人妻不卡视频| 国产午夜精品福利视频| 亚洲日本VA午夜在线电影| www欧美在线观看| 亚洲AV午夜成人无码电影| 欧美激情第一欧美在线| 久久无码精品一一区二区三区| 国产又色又爽又黄的网站免费| 亚洲AV高清一区二区三区尤物| 亚欧美闷骚院| 四虎国产精品永久入口| 国产猛男猛女超爽免费视频| 91久久国产成人免费观看| 国内自拍偷拍一区二区三区| 欧美和黑人xxxx猛交视频| 日本一道本高清一区二区| 最近中文字幕免费手机版| 蜜桃亚洲一区二区三区四| 男女猛烈拍拍拍无挡视频| 性色在线视频精品| 蜜臀视频在线观看一区二区 | 男人猛躁进女人免费播放| 狠狠色丁香婷婷综合久久来来去 | 免费高清特级毛片A片|