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The purpose of this paper is to propose a framework to address the problem that email users are not well-informed or assisted by their email clients in identifying possible phishing attacks, thereby putting their personal information at risk. This paper therefore addresses the human weakness (i.e. the user’s lack of knowledge of phishing attacks which causes them to fall victim to such attacks) as well as the software related issue of email clients not visually assisting and guiding the users through the user interface.

A literature study was conducted in the main field of information security with a specific focus on understanding phishing attacks and a modelling technique was used to represent the proposed framework. This paper argues that the framework can be suitably implemented for email clients to raise awareness about phishing attacks. To validate the framework as a plausible mechanism, it was reviewed by a focus group within the School of Information and Communication Technology (ICT) at the Nelson Mandela Metropolitan University (NMMU). The focus group consisted of academics and research students in the field of information security.

This paper argues that email clients should make use of feedback mechanisms to present security related aspects to their users, so as to make them aware of the characteristics pertaining to phishing attacks. To support this argument, it presents a framework to assist email users in the identification of phishing attacks.

Future research would yield interesting results if the proposed framework were implemented into an existing email client to determine the effect of the framework on the user’s level of awareness of phishing attacks. Furthermore, the list of characteristics could be expanded to include all phishing types (such as clone phishing, smishing, vishing and pharming). This would make the framework more dynamic in that it could then address all forms of phishing attacks.

The proposed framework could enable email clients to provide assistance through the user interface. Visibly relaying the security level to the users of the email client, and providing short descriptions as to why a certain email is considered suspicious, could result in raising the awareness of the average email user with regard to phishing attacks.

This research presents a framework that email clients can use to identify common forms of normal and spear phishing attacks. The proposed framework addresses the problem that the average Internet user lacks a baseline level of online security awareness. It argues that the email client is the ideal place to raise the awareness of users regarding phishing attacks.

This paper aims to present a hybrid approach based on classification algorithms that was capable of identifying different types of phishing pages. In this approach, after eliminating features that do not play an important role in identifying phishing attacks and also after adding the technique of searching page title in the search engine, the capability of identifying journal phishing and phishing pages embedded in legal sites was added to the presented approach in this paper.

The hybrid approach of this paper for identifying phishing web sites is presented. This approach consists of four basic sections. The action of identifying phishing web sites and journal phishing attacks is performed via selecting two classification algorithms separately. To identify phishing attacks embedded in legal web sites also the method of page title searching is used and then the result is returned. To facilitate identifying phishing pages the black list approach is used along with the proposed approach so that the operation of identifying phishing web sites can be performed more accurately, and, finally, by using a decision table, it is judged that the intended web site is phishing or legal.

In this paper, a hybrid approach based on classification algorithms to identify phishing web sites is presented that has the ability to identify a new type of phishing attack known as journal phishing. The presented approach considers the most used features and adds new features to identify these attacks and to eliminate unused features in the identifying process of these attacks, does not have the problems of previous techniques and can identify journal phishing too.

The major advantage of this technique was considering all of the possible and effective features in identifying phishing attacks and eliminating unused features of previous techniques; also, this technique in comparison with other similar techniques has the ability of identifying journal phishing attacks and phishing pages embedded in legal sites.

The purpose of this paper is to aim to educate the internet consumer, who may be a potential phishing victim, and to suggest a framework of anti‐phishing measures, following the staggering increase in the number of recent phishing attacks. Phishing describes a method of online identity theft, in which phishers typically pose as legitimate organisations when sending deceptive e‐mail messages to internet users. When they respond to such e‐mails, victims are lured to malicious web sites, where they are duped into disclosing their personal details. In this way, phishers are able to commit identity theft, with possibly devastating consequences for the victim.

After a literature review of the available sources, the phishing threat is investigated by analysing the modus operandi of phishers and the basic components of a typical phishing scheme. A possible solution for the phishing problem is examined.

Phishers continually target the weakest link in the security chain, namely consumers, in their attacks. Educating the online consumer about phishing, as well as the implementation and proper application of anti‐phishing measures, are critical steps in protecting the identities of online consumers against e‐mail phishing attacks.

This article proposes measures that internet consumers can take to ward off phishing attacks, as well as remedial actions that they can take after falling victim to such an attack. By implementing these measures online, consumers can minimise the risk of becoming victims of successful phishing attacks, as well as remedy the negative effects of any past disclosure of information to phishers.

This study aims to examine the effect of cybersecurity threat and efficacy upon click-through, response to a phishing attack: persuasion and protection motivation in an organizational context.

In a simulated field trial conducted in a financial institute, via PhishMe, employees were randomly sent one of five possible emails using a set persuasion strategy. Participants were then invited to complete an online survey to identify possible protective factors associated with clicking and reporting behavior (N = 2,918). The items of interest included perceived threat severity, threat susceptibility, response efficacy and personal efficacy.

The results indicate that response behaviors vary significantly across different persuasion strategies. Perceptions of threat susceptibility increased the likelihood of reporting behavior beyond clicking behavior. Threat susceptibility and organizational response efficacy were also associated with increased odds of not responding to the simulated phishing email attack.

This study again highlights human susceptibility to phishing attacks in the presence of social engineering strategies. The results suggest heightened awareness of phishing threats and responsibility to personal cybersecurity are key to ensuring secure business environments.

The authors extend existing phishing literature by investigating not only click-through behavior, but also no-response and reporting behaviors. Furthermore, the authors observed the relative effectiveness of persuasion strategies used in phishing emails as they compete to manipulate unsafe email behavior.

This paper aims to report on research that tests the effectiveness of anti-phishing tools in detecting phishing attacks by conducting some real-time experiments using freshly hosted phishing sites. Almost all modern-day Web browsers and antivirus programs provide security indicators to mitigate the widespread problem of phishing on the Internet.

The current work examines and evaluates the effectiveness of five popular Web browsers, two third-party phishing toolbar add-ons and seven popular antivirus programs in terms of their capability to detect locally hosted spoofed websites. The same tools have also been tested against fresh phishing sites hosted on Internet.

The experiments yielded alarming results. Although the success rate against live phishing sites was encouraging, only 3 of the 14 tools tested could successfully detect a single spoofed website hosted locally.

This work proposes the inclusion of domain name system server authentication and verification of name servers for a visiting website for all future anti-phishing toolbars. It also proposes that a Web browser should maintain a white list of websites that engage in online monetary transactions so that when a user requires to access any of these, the default protocol should always be HTTPS (Hypertext Transfer Protocol Secure), without which a Web browser should prevent the page from loading.

Phishing attacks exploit social vulnerabilities and remain a global concern. Financial institutions often use their websites as part of their online awareness and education efforts. This paper aims to explore the effectiveness of phishing-related information made available by financial institutions to raise awareness and educate customers.

In this mixed methods research, a survey of online consumers was first performed and analysed. Second, the information available on the websites of major financial institutions was analysed. Using the construct of information quality (IQ), content analysis was performed to determine whether the phishing-related information meets the IQ criteria.

The survey confirmed that consumers are indeed targeted by phishers. It established that they turn to their financial institutions, more often than any other source, for anti-phishing information. When analysing the IQ of phishing-related information, significant deficiencies as well as different levels of performance between the financial institutions, emerged. In general, the worst performing IQ criteria was information being current and fit for purpose.

As the research is conducted within South Africa, the results cannot be generalised. The ethical clearance did not allow for identification of the different financial institutions and thus comparing consumers’ perceptions with the observed IQ from the content analysis to determine correlation.

Protecting consumers against phishing attacks remains critical, and this paper confirms that users turn to their financial institutions for information. Yet, the phishing-related information made available on the websites of financial institutions has severe deficiencies. Practitioners should use IQ to determine the appropriateness of phishing-related information and focus on improving customer awareness and education.

Researchers often highlight the importance of awareness and education programmes in protecting consumers, but rarely investigate if consumers access publicly available information and express an opinion on the quality of this information. Although the results should not generalised, the recommendations, if necessary through similar analysis, has an impact beyond the geographical constraints of the study.

Phishing is one of the major threats affecting businesses worldwide in current times. Organizations and customers face the hazards arising out of phishing attacks because of anonymous access to vulnerable details. Such attacks often result in substantial financial losses. Thus, there is a need for effective intrusion detection techniques to identify and possibly nullify the effects of phishing. Classifying phishing and non-phishing web content is a critical task in information security protocols, and full-proof mechanisms have yet to be implemented in practice. The purpose of the current study is to present an ensemble machine learning model for classifying phishing websites.

A publicly available data set comprising 10,068 instances of phishing and legitimate websites was used to build the classifier model. Feature extraction was performed by deploying a group of methods, and relevant features extracted were used for building the model. A twofold ensemble learner was developed by integrating results from random forest (RF) classifier, fed into a feedforward neural network (NN). Performance of the ensemble classifier was validated using k-fold cross-validation. The twofold ensemble learner was implemented as a user-friendly, interactive decision support system for classifying websites as phishing or legitimate ones.

Experimental simulations were performed to access and compare the performance of the ensemble classifiers. The statistical tests estimated that RF_NN model gave superior performance with an accuracy of 93.41 per cent and minimal mean squared error of 0.000026.

The research data set used in this study is publically available and easy to analyze. Comparative analysis with other real-time data sets of recent origin must be performed to ensure generalization of the model against various security breaches. Different variants of phishing threats must be detected rather than focusing particularly toward phishing website detection.

The twofold ensemble model is not applied for classification of phishing websites in any previous studies as per the knowledge of authors.

Distinguishing phishing emails from legitimate emails continues to be a difficult task for most individuals. This study aims to investigate the psycholinguistic factors associated with deception in phishing email text and their effect on end-user ability to discriminate phishing emails from legitimate emails.

Email messages and end-user decisions collected from a laboratory phishing study were validated and analyzed using natural language processing methods (Linguistic Inquiry Word Count) and penalized regression models (LASSO and Elastic Net) to determine the linguistic dimensions that attackers may use in phishing emails to deceive end-users and measure the impact of such choices on end-user susceptibility to phishing.

We found that most participants, who played the role of a phisher in the study, chose to deceive their end-user targets by pretending to be a familiar individual and presenting time pressure or deadlines. Results show that use of words conveying certainty (e.g. always, never) and work-related features in the phishing messages predicted higher end-user vulnerability. On the contrary, use of words that convey achievement (e.g. earn, win) or reward (cash, money) in the phishing messages predicted lower end-user vulnerability because such features are usually observed in scam-like messages.

Insights from this research show that analyzing emails for psycholinguistic features associated with computer-mediated deception could be used to fine-tune and improve spam and phishing detection technologies. This research also informs the kinds of phishing attacks that must be prioritized in antiphishing training programs.

Applying natural language processing and statistical modeling methods to analyze results from a laboratory phishing experiment to understand deception from both attacker and end-user is novel. Furthermore, results from this work advance our understanding of the linguistic factors associated with deception in phishing email text and its impact on end-user susceptibility.

This paper seeks to focus on identifying the need for education to enhance awareness of the e‐mail phishing threat as the most effective way to reduce the risk of e‐mail phishing in one of the fastest growing economies in the world, the State of Qatar.

A survey comprising a questionnaire and interviews was used to investigate the awareness of phishing among Qatari citizens, their susceptibility to phishing and their views on the best method of defence against this attack, and this was compared to other developed nations, the UK in particular.

The paper concludes that phishing is becoming common and very successful because of people's susceptibility to such attack, largely due to insufficient awareness of the threat. Comparing Qatar with the UK, there were significant differences between responses in each country in most questionnaire variables, especially those identifying the vulnerability to phishing which was found to be very high in Qatar.

The paper shows that there is a particular need for education on phishing in this fast developing country.

There is a growing threat in the use of phishing by hackers and some businesses to obtain information on individual users on the internet through e‐mail or the web. In some cases this has led to identity thefts and related illogical operations online both within and across countries. This paper has compared level of awareness of phishing in two countries and has the potential to shed light on attitudes and present status of e‐mail phishing with a view to developing ways of dealing with it and improving cyber security and international operations.

The paper adopts an innovative approach to study e‐mail phishing and compares results from two diverse countries. New ideas are advanced from the findings which are useful for understanding some operations in cyber space.

Phishing remains a major cybersecurity problem. Mainly adopting variance approaches, researchers have suggested several recommendations to help users avoid being victimized in phishing attacks. However, the evidence suggests that anti-phishing recommendations are not very effective. The purpose of this paper is threefold: first, to analyze why the existing anti-phishing recommendations may not be very effective; second, to propose stage theorizing as an additional approach for studying phishing that can contribute toward more effective recommendations; and third, to demonstrate using a stage theory, how IS researchers can utilize the concept of stages in phishing research.

The study draws on findings from previous empirical phishing research to assess whether the reasons why people are victimized in phishing attacks can be categorized into stages. The criteria for stages of the Transtheoretical Model (TTM) are used as an example.

Analysis indicates support for the existence of stages of phishing victims. The criteria for stages of the TTM were applied to the reasons that subjects in previous studies gave for clicking on phishing links and to the anti-phishing recommendations proposed in previous studies. There was overall support for four of the five criteria of the TTM. The results from the current study indicate that a targeted approach is a better approach to proposing anti-phishing recommendations.

The analysis identified the stages of phishing victims and the processes of change for each stage. It is suggested that recommendations against phishing should target individuals based on their resident stages. Moreover, the processes of change should be applied to the correct stage for the recommendations to be effective.

From a phishing perspective, there is a lack of research based on stage theorizing. The current study presents stage theorizing as an additional approach to the existing approaches and demonstrates how a stage theory can be used to make more effective recommendations against phishing. The study has thrown light on the benefits of stage theorizing and how its approach to targeted recommendations can be useful in IS security research.