A Survey of Phishing Attack Techniques

Chawla, Minal; Chouhan, Siddarth Singh

doi:10.5120/16197-5460

Cited by 14 publications

(4 citation statements)

References 10 publications

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“…The deception is more related to the SE method, which relies on mimic emails and websites that emerge to originate from a legitimate institute. However, the malware method is phishing-based, which depends on malicious code or malware [24]. Cyber attackers would try to gain the trust of users, and via human behaviors, they will attempt to manipulate individuals or organizations.…”

Section: B the Most Common Seamentioning

confidence: 99%

Analysis of Social Engineering Awareness Among Students and Lecturers

Abdulla,

Faraj,

Abdullah

et al. 2023

IEEE Access

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The massive technological progress and wide use of Information Technology have increased cyber security threats. Social engineering attacks are a common type of cyber security threat that faces everyone. It uses several methods, such as pretexting using Artificial Intelligence or phishing, to attack users' valuable data due to human error. The risks of data attacks have increased, especially in the institutions sector, as the use of digital technologies become easier around the users. This paper investigates the awareness of social engineering attacks and cyber-security threats at the University of Sulaimani. The University of Sulaimani, based in the Kurdistan Region of Iraq, has a large number of students and staff; due to the increase of social engineering threats and lack of knowledge of cyber securities, the internet users at the University of Sulaimani put their confidential data at risk. This research has employed a quantitative approach, using a selfreport questionnaire to gather primary data from participants. The online survey has been launched at the University of Sulaimani to provide a measurement of social engineering attacks on students and staff. The results show a variety of factors impacting participants' awareness of their data. The objective of this study is to evaluate the participants' knowledge of cyber-security and analyze their awareness of social engineering data breaches.

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Section: B the Most Common Seamentioning

confidence: 99%

Analysis of Social Engineering Awareness Among Students and Lecturers

Abdulla,

Faraj,

Abdullah

et al. 2023

IEEE Access

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“…Other than online platforms, emails are also prone to be targeted by scammers to deceive people through an attack known as phishing. There are two types of phishing: deceiving people in order to collect personal information and spreading malwares [119]. In phishing attacks, victims will receive an email with texts that influence them to click on a link.…”

Section: ) Deception Detectionmentioning

confidence: 99%

Online Social Networks and Writing Styles–A Review of the Multidisciplinary Literature

2020

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In recent years, author identification has become an active research area, where the major differences are caused by paper or online medium, mode of entry and target audience. Much research has been devoted to analyzing writing styles in handwritten, word-processed and online social networks (OSN) texts. Word processing editors that typically include spell and grammar checkers may influence the writing style as it allows an individual to edit a piece of text to perfection. Thus, similarities may exist between OSN and word-processed texts. Moreover, none of the studies to date have made a detailed comparison of the writing styles across multidisciplinary factors. This paper attempts to close the gap between the writing styles in pre-and post-Internet periods as well as provide an in-depth comparison of the writing styles in OSN texts across three major factors: demographics, personality & behavior, and cybersecurity. The aim is to learn from past literature as we advance these techniques to OSN texts. Thus, in this paper, we also propose a novel machine learning prediction model based on tense morphology, to classify age and gender from English blogs, and the PAN 2013 dataset. This model achieves an accuracy of 94%-98% and 95%-97% for age and gender, respectively. INDEX TERMS Online social networks, survey, writing styles.

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“…A brief survey on different techniques is given by Minal Chawla and Siddarth Singh Chouhan [8]. They have discussed the various practices and procedures through which an attacker can send the phishing page URL to the user.…”

Section: Related Workmentioning

confidence: 99%

Phishfort – Anti-Phishing Framework

Kalloor¹,

Mishra²,

Paulose³

2018

IJET

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Phishing attack is one of the most common form of attack used to get unauthorized access to users’ credentials or any other sensitive information. It is classified under social engineering attack, which means it is not a technical vulnerability. The attacker exploits the human nature to make mistake by fooling the user to think that a given web page is genuine and submitting confidential data into an embedded form, which is harvested by the attacker. A phishing page is often an exact replica of the legitimate page, the only noticeable difference is the URL. Normal users do not pay close attention to the URL every time, hence they are exploited by the attacker. This paper suggests a login framework which can be used independently or along with a browser extension which will act as a line of defense against such phishing attacks. The semi-automated login mechanism suggested in this paper eliminates the need for the user to be alert at all time, and it also provides a personalized login screen so that the user can to distinguish between a genuine and fake login page quite easily.

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A Survey of Phishing Attack Techniques

Cited by 14 publications

References 10 publications

Analysis of Social Engineering Awareness Among Students and Lecturers

Analysis of Social Engineering Awareness Among Students and Lecturers

Online Social Networks and Writing Styles–A Review of the Multidisciplinary Literature

Phishfort – Anti-Phishing Framework

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