Search engine for discovering works of Art, research articles, and books related to Art and Culture
Javascript must be enabled to continue!
AI-Driven Phishing Email Detection: Leveraging Big Data Analytics for Enhanced Cybersecurity
View through CrossRef
Big data analytics and AI are emerging technologies that can help businesses improve their email security. There is a wide range of research that implements big data analytics for email security, and phishing email detection is one dimension of email security. Therefore, the essay emphasizes the use of big data analytics and AI for developing real-time phishing email recognition. Our research demonstrates that a phishing email detection technique utilizing big-data technologies can be used to create a large-scale phishing email dataset, detect phishing emails, visualize additional features, and recognize phishing emails as soon as possible. Chapter 2 outlines present changes in the cybercrime landscape and the current situation of time and defense mechanisms for email security. Then, the concept of harnessing big data analytics and technologies to improve cybersecurity is discussed. In the third segment, an attempt is made to offer a comprehensive list of studies that have been conducted applying bigdata analytics to email security and scrutinizing phishing email tactics or technologies for this type of cybercrime. In the final chapter, the implementation of a big-data-based technology utilizing Enron email traffic is highlighted.The essay discusses the application of big data analytics to designing a phishing email detection system in real time. Relevant studies are included in the content as well. Email security has become a chief concern for individuals and organizations. A cybercriminal can victimize anyone after proliferating a phishing email, and millions of phishing emails are distributed to millions of email traffic. With the continual and widespread proliferation of time, cybercriminals are using more sophisticated methods of attacking and have the capability to create more feature-rich phishing emails. This situation necessitates the use of technology to protect us from these methods. The precise recognition of phishing emails reduces their utilization, leading to decreased cybercrimes.
Title: AI-Driven Phishing Email Detection: Leveraging Big Data Analytics for Enhanced Cybersecurity
Description:
Big data analytics and AI are emerging technologies that can help businesses improve their email security.
There is a wide range of research that implements big data analytics for email security, and phishing email detection is one dimension of email security.
Therefore, the essay emphasizes the use of big data analytics and AI for developing real-time phishing email recognition.
Our research demonstrates that a phishing email detection technique utilizing big-data technologies can be used to create a large-scale phishing email dataset, detect phishing emails, visualize additional features, and recognize phishing emails as soon as possible.
Chapter 2 outlines present changes in the cybercrime landscape and the current situation of time and defense mechanisms for email security.
Then, the concept of harnessing big data analytics and technologies to improve cybersecurity is discussed.
In the third segment, an attempt is made to offer a comprehensive list of studies that have been conducted applying bigdata analytics to email security and scrutinizing phishing email tactics or technologies for this type of cybercrime.
In the final chapter, the implementation of a big-data-based technology utilizing Enron email traffic is highlighted.
The essay discusses the application of big data analytics to designing a phishing email detection system in real time.
Relevant studies are included in the content as well.
Email security has become a chief concern for individuals and organizations.
A cybercriminal can victimize anyone after proliferating a phishing email, and millions of phishing emails are distributed to millions of email traffic.
With the continual and widespread proliferation of time, cybercriminals are using more sophisticated methods of attacking and have the capability to create more feature-rich phishing emails.
This situation necessitates the use of technology to protect us from these methods.
The precise recognition of phishing emails reduces their utilization, leading to decreased cybercrimes.
Related Results
Cybersecurity and Organisational Performance – the Interplay
Cybersecurity and Organisational Performance – the Interplay
The interplay between cybersecurity and organisational performance is multifaceted in nature, as it is related to how cybersecurity impacts and is impacted by various organisationa...
ecision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predi
ecision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predi
The scope of sensor networks and the Internet of Things spanning rapidly to diversified domains but not limited to sports, health, and business trading. In recent past, the sensors...
Phishing Cyber Security Threats
Phishing Cyber Security Threats
Phishing is a growing threat in the realm of cybersecurity, where cybercriminals use various phishing techniques to steal sensitive information from individuals and organizations. ...
AI-powered phishing detection: Integrating natural language processing and deep learning for email security
AI-powered phishing detection: Integrating natural language processing and deep learning for email security
Phishing attacks are major threats to email security and pose challenges, while cyber attackers utilize increasingly sophisticated means to deceive the user and steal away importan...
Spear-Phishing in the Wild: A Real-World Study of Personality, Phishing Self-Efficacy and Vulnerability to Spear-Phishing Attacks
Spear-Phishing in the Wild: A Real-World Study of Personality, Phishing Self-Efficacy and Vulnerability to Spear-Phishing Attacks
Recent research has begun to focus on the factors that cause people to respond to phishing attacks. In this study a real-world spear-phishing attack was performed on employees in o...
Anti-Phishing Technologies and Tools
Anti-Phishing Technologies and Tools
Phishing continues to be one of the most common and effective forms of cyber security threats and involve deception of users thereby getting them provide unauthorized individuals w...
The determinants of consumer behavior towards email advertisement
The determinants of consumer behavior towards email advertisement
PurposeThe aim of this study was to develop a theoretical model of email advertising effectiveness and to investigate differences between permission‐based email and spamming. By ex...
Phishing Email Detection using a Hybrid CNN-MLP Deep Learning Framework
Phishing Email Detection using a Hybrid CNN-MLP Deep Learning Framework
Phishing incidents remain highly frequent and destructive cyber threats affecting private users and organizations globally. Malicious actors continuously refine their deceptive str...