• Corpus ID: 212487773

Detecting and Analyzing Social Network Based Phishing Activities over the Internet to Enhance Cyber Security

@inproceedings{Shaikh2019DetectingAA,
  title={Detecting and Analyzing Social Network Based Phishing Activities over the Internet to Enhance Cyber Security},
  author={Farhana J. Shaikh and Harun Hawaldar and Ankita Jangade},
  year={2019}
}

• F. Shaikh, Harun Hawaldar, Ankita Jangade
• Published 2019
• Computer Science

Phishing is an expeditiously growing threat in web world, damaging internet user’s privacy and stealing billions of dollars every year. It is an illegitimate activity which uses a group of technical exploits and social engineering to collect an internet user’s personal information. Different phishing tools and techniques can be identified in various methods of communication like fake websites, emails, instant messages and pop-up messages. Over the time span, a number of research papers have published with different antiphishing procedures and techniques and have failed to detect all correlated risks and provide a common solution. This paper proposes an abstract standard–ASA-to study this threat in a well-ordered manner. While there is a common perception that phishing is a security attack that involves designing an identical website in order to mislead the internet users into disclosing personal, financial credentials; however, this theory has not been practically used to analyze this threat as well as research gaps systematically. ASA outlook attempts to study this cyber Attack Survey different anti-phishing method and Analyze different research perspectives. This literature survey will play a vital role to generate awareness about phishing-based web frauds in order to induce preventive actions to enhance the web security and achieve user’s trust in web world.