Phishing Attacks and Defenses

Chaudhry, Junaid; Chaudhry, Shafique Ahmad; Rittenhouse, Robert G.

doi:10.14257/ijsia.2016.10.1.23

Cited by 77 publications

(50 citation statements)

References 20 publications

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“…In recent years, researchers and organisations have categorised phishing attacks in similar or sometimes in different ways. Some examples of the mentioned categorisations of phishing tactics are "Deceptive Phishing" [57], "Malware-based Phishing" [11,[57][58][59], "Key-loggers" and "Screen-loggers" , "Website Forgery" [58], "Social Engineering" [11], "Mimicry" [11], "Email Spoofing" [11], "URL Hiding" [11], "Invisible Content" [11], "Image Content" [11].…”

Section: Phishing Attacksmentioning

confidence: 99%

Phishing Attacks Root Causes

Abroshan

Devos

Poels

et al. 2018

Lecture Notes in Computer Science

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Nowadays, many people are losing considerable wealth due to online scams. Phishing is one of the means that a scammer can use to deceitfully obtain the victim's personal identification, bank account information, or any other sensitive data. There are a number of anti-phishing techniques and tools in place, but unfortunately phishing still works. One of the reasons is that phishers usually use human behaviour to design and then utilise a new phishing technique. Therefore, identifying the psychological and sociological factors used by scammers could help us to tackle the very root causes of fraudulent phishing attacks. This paper recognises some of those factors and creates a cause-andeffect diagram to clearly present the categories and factors which make up the root causes of phishing scams. The illustrated diagram is extendable with additional phishing causes.

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Section: Phishing Attacksmentioning

confidence: 99%

Phishing Attacks Root Causes

Abroshan

Devos

Poels

et al. 2018

Lecture Notes in Computer Science

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show abstract

“…Different researchers have been proposed several techniques for solving the phishing problem. Junaid et al (2016) explained that phishing can be reduced through a combination of user and corporate safeguards and serverside measures. User education remains the strongest and at the same time, the weakest link to phishing countermeasures.…”

Section: Phishing: An Overviewmentioning

confidence: 99%

Comparative Study of Data Mining Classification Techniques for Detection and Prediction of Phishing Websites

Al-Shalabi¹

2019

Journal of Computer Science

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Data mining is the process of discovering or extracting information from large amount of data that are stored in databases or datasets such as phishing dataset. Phishing is a vital web security problem that involves simulating legitimate websites to mislead online users in order to steal their sensitive information. This paper aims to detect and predict the type of the website to either legitimate or phishing class label. It investigates different data mining classifiers that are applied to the phishing dataset aiming to determine the effective ones in terms of classification performance. The comparison between nine classifiers with help of rapid miner software was conducted. Here, for comparing the result, five different metrics were used including accuracy, precision, recall, sensitivity and F-Measure. In this study, it has been able to identify the classifiers that precisely recognize fake websites especially with respect to the evolutionary nature of the information attacks.

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“…In other situations, they may pose as outsiders, such as IT consultants, maintenance supporters, and native employees, etc. [59], [60]. In case of smartphones, social engineers usually take advantage from malicious advertising (Adware or "Malvertising").…”

Section: B Attacks or Threatsmentioning

confidence: 99%

“…For example, a phishing app demonstrates a fake mobile banking login screen to steal the user"s account information (e.g. username and password) [47], [60]. Mostly, it applied to hijack confidential information in the cover of fake mobile banking apps which have become a recurring threat according to several incidents reported.…”

Section: B Attacks or Threatsmentioning

confidence: 99%

A Survey on Smartphones Security: Software Vulnerabilities, Malware, and Attacks

Ahvanooey¹,

Li²,

Rabbani³

et al. 2017

ijacsa

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Abstract-Nowadays, the usage of smartphones and their applications have become rapidly popular in people's daily life. Over the last decade, availability of mobile money services such as mobile-payment systems and app markets have significantly increased due to the different forms of apps and connectivity provided by mobile devices, such as 3G, 4G, GPRS, and Wi-Fi, etc. In the same trend, the number of vulnerabilities targeting these services and communication networks has raised as well. Therefore, smartphones have become ideal target devices for malicious programmers. With increasing the number of vulnerabilities and attacks, there has been a corresponding ascent of the security countermeasures presented by the researchers. Due to these reasons, security of the payment systems is one of the most important issues in mobile payment systems. In this survey, we aim to provide a comprehensive and structured overview of the research on security solutions for smartphone devices. This survey reviews the state of the art on security solutions, threats, and vulnerabilities during the period of 2011-2017, by focusing on software attacks, such those to smartphone applications. We outline some countermeasures aimed at protecting smartphones against these groups of attacks, based on the detection rules, data collections and operating systems, especially focusing on open source applications. With this categorization, we want to provide an easy understanding for users and researchers to improve their knowledge about the security and privacy of smartphones.

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Phishing Attacks and Defenses

Abstract: Abstract

Cited by 77 publications

References 20 publications

Phishing Attacks Root Causes

Phishing Attacks Root Causes

Comparative Study of Data Mining Classification Techniques for Detection and Prediction of Phishing Websites

A Survey on Smartphones Security: Software Vulnerabilities, Malware, and Attacks

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