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Intrusion Detection and Prevention
Intrusion detection and prevention are security measures used to detect and prevent cybersecurity risks to computer systems, networks, infrastructure...
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Attribute Repair for Threat Prevention
We propose a model-based procedure for preventing security threats using formal models. We encode system models and threats as satisfiability modulo...
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Advance Collision Prevention System
This chapter presents the efficient working model of the Advance Collision Prevention System (ACP System) using computer vision and machine learning...
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Delving NFT vulnerabilities, a sleepminting prevention system
The rise of Non-Fungible Tokens (NFTs) is beginning to revolutionize the digital world thanks to the unique property of these tokens. Indeed, they...
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Design of distributed network intrusion prevention system based on Spark and P2DR models
The commonly used method for network intrusion is based on pattern matching systems, but these systems do not have high detection accuracy when...
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Surveillance, Prevention, and Control of Infectious Diseases An AI Perspective
This is a pioneering book that delves into the intersection of artificial intelligence (AI) and healthcare, specifically focusing on the detection...
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Overview of Social Engineering Protection and Prevention Methods
Recently, with the increasing use of social networks, services, and computers in general plus the enhanced capabilities of remote working,...
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Cancer Prevention Through Early Detection Second International Workshop, CaPTion 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings
This book constitutes the refereed proceedings of the second International Workshop on Cancer Prevention through Early Detection, CaPTion, held in...
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Understanding and Modeling Prevention
Prevention is a pervasive phenomenon. It is about blocking an effect before it happens or stop** it as it unfolds: vaccines prevent (the unfolding...
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Hearing loss prevention at loud music events via real-time visuo-haptic feedback
Hearing loss is becoming a global problem, partly as a consequence of exposure to loud music. People may be unaware about the harmful sound levels...
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A multi-criteria decision making based integrated approach for rumor prevention in social networks
Rumors are unverified pieces of information whose veracity status is unknown at the time of circulation. Preventing them at an early stage helps to...
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A Survey on Intrusion Detection and Prevention Systems
In the digital world, malicious activities that violate the confidentiality, integrity, or availability of data and devices are known as intrusions....
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Personal space invasion to prevent cyberbullying: design, development, and evaluation of an immersive prevention measure for children and adolescents
The previous work on cyberbullying has shown that the number of victims is increasing, and the need for prevention is exceptionally high among...
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System Intrusion Detection and Prevention
Psychologically there is value attached to ownership of an asset. How much is spent on protecting the asset determines the value of the asset. Once a...
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Cyber Crisis Prevention
Wie bei allen Krisen kommt es auch bei Cyber-Krisen darauf an, inwieweit das Ereignis schon außerhalb der Organisation sichtbar ist. Faustregel: je...
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CAPTAIN: An AI-Based Chatbot for Cyberbullying Prevention and Intervention
Cyberbullying is a widespread and growing problem that can cause various psychological and health well-being outcomes in youth and is considered a...
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Threats on online social network platforms: classification, detection, and prevention techniques
Online social network (OSN) platforms have been incorporated into people's daily lives. A significant portion of society employs various forms of OSN...
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FPGA-Enabled Efficient Framework for High-Performance Intrusion Prevention Systems
With the rapid increase of network-based services during and after the COVID-19 pandemic, preventing network attacks is an essential demand. This...
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A survey: contribution of ML & DL to the detection & prevention of botnet attacks
Machine Learning (ML) and Deep Learning (DL) are transforming the detection and prevention of botnets, significant threats in cybersecurity. In this...
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Defending Against Vishing Attacks: A Comprehensive Review for Prevention and Mitigation Techniques
Vishing attacks, or voice phishing attacks, are a type of social engineering attack in which attackers use voice communication channels, such as...