Detection of Phishing Attacks using Content Analysis in the Cloud
Sweta Mittal1, Jayasimha S R2
1Sweta Mittal, PG Student Department of Master of Computer Applications RV College of Engineering, Bangalore.
2Jayasimha S R, Assistant Professor Department of Master of Computer Applications RV College of Engineering, Bangalore.
Manuscript received on May 15, 2020. | Revised Manuscript received on May 24, 2020. | Manuscript published on May 30, 2020. | PP: 2622-2625 | Volume-9 Issue-1, May 2020. | Retrieval Number: A3066059120/2020©BEIESP | DOI: 10.35940/ijrte.A3066.059120
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In the world of internet and technology, technical advancement is widely accepted by both types of users – with and without technical knowledge. Advancement in technologies also brings in different risks involved along with it. These risks involve risks of being compromised at any point of time, leading to identity theft or financial loss or loss of very confidential information. Phishing attacks are one such kind of attack which can trap anyone into it, let it be a novice user or a sophisticated user. This paper involves what phishing attacks are, how the phishers target cloud services, how they deceive users, how the phishers send phish sites to its target. It also includes the background process that happens in normal scenarios and during phishing, a proposed mechanism which can be used for detection, safety measures which if taken can reduce the chances of falling in the trap and mechanisms used by researchers in order to detect and prevent phishing sites.
Keywords: Phishing, Mobile Cloud Computing, Content Analysis, Machine Learning Algorithms
Scope of the Article: Machine Learning