IMAGES

  1. (PDF) Study on Phishing Attacks

    phishing email research papers

  2. (PDF) A Survey of Phishing Email Filtering Techniques

    phishing email research papers

  3. Phishing Email Examples

    phishing email research papers

  4. Example of an email based phishing attack

    phishing email research papers

  5. (PDF) Detection of phishing attacks

    phishing email research papers

  6. (PDF) E-mail-Based Phishing Attack Taxonomy

    phishing email research papers

VIDEO

  1. Topic: Email Phishing Analysis

  2. ‼️IMPORTANT INFORMATION ‼️ Phishing Email Alert ‼️

  3. How to detect a phishing email #whatisphishing #cybersecurity #technology #education #safety

  4. EMAIL PHISHING

  5. Detecting Phishing URLs Using Machine Learning Models Based On Different Feature Filtering Methods

  6. PHISHING email. BEWARE!

COMMENTS

  1. Phishing Attacks: A Recent Comprehensive Study and a New Anatomy

    In email phishing, anti-spam software tools can block suspicious emails. Phishers usually send a genuine look-alike email that dupes the user to open an attachment or click on a link. ... Research on social media-based phishing, Voice Phishing, and SMS Phishing is sparse and these emerging threats are predicted to be significantly increased ...

  2. How Good Are We at Detecting a Phishing Attack? Investigating the

    Moreover, in their research, Wash found that while technical protections against phishing reduce the number of phishing emails received, they are not perfect. This could be because individual's phishing susceptibility may be shaped by recent phishing encounters and, more importantly, that the effect of new experience on susceptibility will be ...

  3. Mitigation strategies against the phishing attacks: A systematic

    In line with the research questions, the paper identifies and classifies existing mitigation strategies against the phishing attacks. Most of the mitigation strategies are based on machine learning algorithms as the underlying technology. ... Phishing Email Detection based on Named Entity Recognition: Models and Frameworks: E-mail: Machine ...

  4. A Systematic Review on Deep-Learning-Based Phishing Email Detection

    Phishing attacks are a growing concern for individuals and organizations alike, with the potential to cause significant financial and reputational damage. Traditional methods for detecting phishing attacks, such as blacklists and signature-based techniques, have limitations that have led to developing more advanced techniques. In recent years, machine learning and deep learning techniques have ...

  5. A Systematic Literature Review on Phishing Email Detection Using

    Every year, phishing results in losses of billions of dollars and is a major threat to the Internet economy. Phishing attacks are now most often carried out by email. To better comprehend the existing research trend of phishing email detection, several review studies have been performed. However, it is important to assess this issue from different perspectives. None of the surveys have ever ...

  6. Phishing Email Detection Using Natural Language ...

    Despite considerable study on detecting phishing emails, the research is lacking the use of features that permit an easier interpretation and provide a deeper insight into phishing and legitimate emails. ... "28 27 Author name / Procedia Computer Science 00 (2019) 000â€"000 9 [13] H. Thakur and S. Kaur, “A survey paper on phishing ...

  7. Phishing Attacks: A Recent Comprehensive Study and a New Anatomy

    relied on the illegal use of digital assets —especially personal information—for inflicting damage to. individuals. One of the most threatening crimes of all internet users is that of ...

  8. Advancing Phishing Email Detection: A Comparative Study of Deep

    The 1D-CNNPD augmented with Bi-GRU outperformed advanced deep learning and machine learning phishing detection algorithms, achieving 100% precision, 99.68% accuracy, an F1 score of 99.66%, and a recall of 99.32%. The main aim of this study was to investigate the potential of using deep learning for email phishing detection.

  9. How Good Are We at Detecting a Phishing Attack ...

    Phishing attacks are on the increase. The fact that our ways of living, studying and working have drastically changed as a result of the COVID pandemic (i.e., almost everything being done online) has created many new cyber security concerns. In particular, with the move to remote working, the number of phishing emails threatening employees has increased. The 2020 Phishing Attack Landscape ...

  10. Human Factors in Phishing Attacks: A Systematic Literature Review

    Abstract. Phishing is the fraudulent attempt to obtain sensitive information by disguising oneself as a trustworthy entity in digital communication. It is a type of cyber attack often successful because users are not aware of their vulnerabilities or are unable to understand the risks. This article presents a systematic literature review ...

  11. A systematic literature review on phishing website ...

    The SLR evaluated that phone phishing, Email Spoofing, spear phishing, and Email Manipulation are the frequently used phishing techniques. According to this study, the highest Accuracy was achieved through Machine Learning approaches. ... The same research papers from multiple libraries are discarded. Serial research articles with minor changes ...

  12. A comprehensive survey of AI-enabled phishing attacks detection

    In recent times, a phishing attack has become one of the most prominent attacks faced by internet users, governments, and service-providing organizations. In a phishing attack, the attacker(s) collects the client's sensitive data (i.e., user account login details, credit/debit card numbers, etc.) by using spoofed emails or fake websites. Phishing websites are common entry points of online ...

  13. [2104.01255] A Systematic Literature Review on Phishing and Anti

    Phishing is the number one threat in the world of internet. Phishing attacks are from decades and with each passing year it is becoming a major problem for internet users as attackers are coming with unique and creative ideas to breach the security. In this paper, different types of phishing and anti-phishing techniques are presented. For this purpose, the Systematic Literature Review(SLR ...

  14. A Systematic Literature Review on Phishing and Anti-Phishing Techniques

    habits such as narcissism, gullibility and habitual email use. The research revealed that from all the phishing techniques spear phishing is most targeted form of phishing. Athulya et al. [29] discussed the different phishing attacks, latest phishing techniques used by the phishers and highlighted some anti-phishing approaches. The paper raises ...

  15. Analysis and prevention of AI-based phishing email attacks

    The paper also describes the corpus of AI-generated phishing emails that is made open to the public, and can be used for consequent studies. ... A phishing email attack (Fette et al.,, 2007; Hong,, ... in this study will be used in a variety of ways and in combination with different kind of datasets to further advance research related to AI ...

  16. The COVID‐19 scamdemic: A survey of phishing attacks and their

    Notably, the FBI found that phishing emails were the primary cause of ransomware attacks, underlining the importance of defending against phishing for reducing the efficacy of many of cyber‐attacks. ... The paper also showed the latest research contributions of cybersecurity during COVID‐19, in the form of a literature review corroborated ...

  17. An effective detection approach for phishing websites using URL and

    This paper proposed a novel anti-phishing approach, which involves different features (URL, hyperlink, and text) that have never been taken into consideration. The proposed approach is a ...

  18. (PDF) Phishing

    Phishing is a major threat to all Internet users and is difficult to trace or. defend against since it does not present itself as obviously malicious in nature. In today's society, everything is ...

  19. (PDF) Study on Phishing Attacks

    Phishing is. one such type of methodologies which are used to acquire the. information. Phishing is a cyber crime in which emails, telephone, text messages, personally identifiable information ...

  20. Phishing Detection: A Literature Survey

    This article surveys the literature on the detection of phishing attacks. Phishing attacks target vulnerabilities that exist in systems due to the human factor. Many cyber attacks are spread via mechanisms that exploit weaknesses found in end-users, which makes users the weakest element in the security chain. The phishing problem is broad and no single silver-bullet solution exists to mitigate ...

  21. Warning deterrence or knowledge guidance? Research on triggering

    Phishing scams have become a problem for online banking and e-commerce users. There are different proposed anti-Phishing approaches that make users aware of Phishing emails and websites. This paper evaluates the anti-Phishing knowledge retention for ...

  22. PDF Kimsuky's Phishing and Payload Tactics

    password to bypass email security controls or on Kimsuky infrastructure with webmail spoof with password to access. The payloads often involve a LNK or CHM file, with a second stage either embedded and/or downloaded from a publicly accessible location. Notably, during research Rapid7 also observed public share of a phishing tool

  23. Falling for Phishing: An Empirical Investigation into People's Email

    Completed Research Paper Asangi Jayatilaka CREST - the Centre for Research on Engineering Software Technologies School of Computer Science, ... confidence phishing email detection considering different aspects, including cognitive and motivational factors. Their findings draw attention to the issue of relying on judgmental confidence to drive ...

  24. 20 Million Trusted Domains Vulnerable to Email Hosting Exploits

    Three novel attack techniques that chain together vulnerabilities found in numerous email-hosting platforms are allowing threat actors to spoof emails from more than 20 million domains of trusted ...

  25. Cybercriminals Starting to Use ChatGPT

    In Check Point Research's (CPR) previous blog, we described how ChatGPT successfully conducted a full infection flow, from creating a convincing spear-phishing email to running a reverse shell, capable of accepting commands in English. The question at hand is whether this is just a hypothetical threat or if there are already threat actors ...

  26. Attackers Exploit URL Protections to Disguise Phishing Links

    The new research follows other observed ways threat actors are circumventing traditional security controls to enhance phishing campaigns. These include the rising use of quishing attacks - phishing messages that use a QR code to direct targets to malicious websites rather than URLs. This approach increases the likelihood of a recipient using ...

  27. Detecting phishing websites using machine learning technique

    2. Research background and related works. Phishing attacks are categorized according to Phisher's mechanism for trapping alleged users. Several forms of these attacks are keyloggers, DNS toxicity, Etc., [].The initiation processes in social engineering include online blogs, short message services (SMS), social media platforms that use web 2.0 services, such as Facebook and Twitter, file ...

  28. Article

    The center also provides alerts about large-scale threats and hosts white papers and analyst notes to increase awareness about cybersecurity threats and recommendations on what to do about them. A 2023 HC3 report lists phishing/smishing, ransomware attacks, data breaches, distributed denial-of-service attacks and information-stealing malware as ...

  29. Quantitative research on the tracked vehicle energy consumption

    In this paper, an energy computation method is proposed based on the longitudinal-vertical coupling tracked vehicle dynamic model to quantificationally study the energy generation and dissipation for tracked vehicles under off-road conditions.

  30. Phishing in Organizations: Findings from a Large-Scale and Long-Term Study

    ing and phishing prevention in large organizations. 2) Supportive results for several previous research findings with improved ecological validity. 3) Contradicting findings that challenge the conclusions of previous research studies and popular industry practices. 4) Large-scale evaluation of crowd-sourced phishing re-