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              <text>Sethurajan, Monikka Reshmi; Natarajan, K.</text>
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              <text>FORCASTING DEPLOYMENT OF WEB FORENSICS TO AVERT MISINFORMATION SPREAD USING WEFA TOOL</text>
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              <text>Attacks on Artificial Intelligence: The New Facets of Cyber Ecospace;pp.121-136</text>
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              <text>&lt;a href="https://www.scopus.com/pages/publications/105018280331?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105018280331?origin=resultslist&lt;/a&gt;</text>
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              <text>Sethurajan M.R., CHRIST University, Bangalore, India; Natarajan K., CHRIST University, Bangalore, India</text>
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              <text>As fake news or misinformation is becoming more prevalent, it is distorting people's understanding and decisions by influencing their perceptions and knowledge. Since long before the Internet, misinformation and hoaxes have existed. News outlets and social media websites publish false news to increase readership or as a psychological warfare tactic, especially during times of crisis, such as the COVID-19 pandemic. Social networks gener ated large amounts of multimedia data due to the ubiquitous nature of social media platforms. Misinformation, also called rumors, may cause severe damages due to its unverified nature. Let me start by saying there is a big problem of fake news currently affecting societies, nations, and individuals. For example, a fake news story about alleged medicine in the United States or Brazil was part of the COVID-19 pandemic (e.g., misinformation on fake medicines); misinformation has negatively impacted democratic elections and the statuses of individuals and organizations. Misinformation must be addressed; and we have to find reliable solutions that are agile and reliable. In this sense, it provides a serious assessment of the current knowledge state in misinformation detection, both in order to describe probable solutions as well as to inspire upcoming research. Our study is extended to focus on means to avert this misinformation spread with the help of forensic web based tools along with ML that can extend its application to identifying systems and websites responsible for this malicious attempt.  2026 by Apple Academic Press, Inc.</text>
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              <text>ISBN: 978-104009235-4; 978-177491622-3;</text>
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              <text>Restricted Access; Hardcopy may be available in the library</text>
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