Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Phishing Website Detection Using Intelligent Data Mining Techniques Design And Development Of An Intelligent Association Classification Mining Fuzzy Based Scheme For Phishing Website Detection With An Emphasis On E Banking
Download Phishing Website Detection Using Intelligent Data Mining Techniques Design And Development Of An Intelligent Association Classification Mining Fuzzy Based Scheme For Phishing Website Detection With An Emphasis On E Banking full books in PDF, epub, and Kindle. Read online Phishing Website Detection Using Intelligent Data Mining Techniques Design And Development Of An Intelligent Association Classification Mining Fuzzy Based Scheme For Phishing Website Detection With An Emphasis On E Banking ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Phishing Website Detection Using Intelligent Data Mining Techniques. Design and Development of an Intelligent Association Classification Mining Fuzzy Based Scheme for Phishing Website Detection with an Emphasis on E-banking by : Maher Ragheb Mohammed Abur-rous
Download or read book Phishing Website Detection Using Intelligent Data Mining Techniques. Design and Development of an Intelligent Association Classification Mining Fuzzy Based Scheme for Phishing Website Detection with an Emphasis on E-banking written by Maher Ragheb Mohammed Abur-rous and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Phishing techniques have not only grown in number, but also in sophistication. Phishers mighthave a lot of approaches and tactics to conduct a well-designed phishing attack. The targets ofthe phishing attacks, which are mainly on-line banking consumers and payment serviceproviders, are facing substantial financial loss and lack of trust in Internet-based services. Inorder to overcome these, there is an urgent need to find solutions to combat phishing attacks. Detecting phishing website is a complex task which requires significant expert knowledge andexperience. So far, various solutions have been proposed and developed to address theseproblems. Most of these approaches are not able to make a decision dynamically on whether thesite is in fact phished, giving rise to a large number of false positives. This is mainly due tolimitation of the previously proposed approaches, for example depending only on fixed blackand white listing database, missing of human intelligence and experts, poor scalability and theirtimeliness. In this research we investigated and developed the application of an intelligent fuzzy-basedclassification system for e-banking phishing website detection. The main aim of the proposedsystem is to provide protection to users from phishers deception tricks, giving them the abilityto detect the legitimacy of the websites. The proposed intelligent phishing detection systememployed Fuzzy Logic (FL) model with association classification mining algorithms. Theapproach combined the capabilities of fuzzy reasoning in measuring imprecise and dynamicphishing features, with the capability to classify the phishing fuzzy rules. Different phishing experiments which cover all phishing attacks, motivations and deceptionbehaviour techniques have been conducted to cover all phishing concerns. A layered fuzzystructure has been constructed for all gathered and extracted phishing website features andpatterns. These have been divided into 6 criteria and distributed to 3 layers, based on their attacktype. To reduce human knowledge intervention, Different classification and associationalgorithms have been implemented to generate fuzzy phishing rules automatically, to beintegrated inside the fuzzy inference engine for the final phishing detection. Experimental results demonstrated that the ability of the learning approach to identify allrelevant fuzzy rules from the training data set. A comparative study and analysis showed thatthe proposed learning approach has a higher degree of predictive and detective capability thanexisting models. Experiments also showed significance of some important phishing criteria likeURL & Domain Identity, Security & Encryption to the final phishing detection rate. Finally, our proposed intelligent phishing website detection system was developed, tested andvalidated by incorporating the scheme as a web based plug-ins phishing toolbar. The resultsobtained are promising and showed that our intelligent fuzzy based classification detectionsystem can provide an effective help for real-time phishing website detection. The toolbarsuccessfully recognized and detected approximately 92% of the phishing websites selected fromour test data set, avoiding many miss-classified websites and false phishing alarms.
Book Synopsis Phishing website detection using intelligent data mining techniques by : Maher Ragheb Mohammed Abur-rous
Download or read book Phishing website detection using intelligent data mining techniques written by Maher Ragheb Mohammed Abur-rous and published by . This book was released on 2010 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Phishing Website Detection Using Intelligent Data Mining Techniques by : Maher Aburrous
Download or read book Phishing Website Detection Using Intelligent Data Mining Techniques written by Maher Aburrous and published by LAP Lambert Academic Publishing. This book was released on 2012 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Phishing techniques have not only grown in number, but also in sophistication. Phishers might have a lot of approaches and tactics to conduct a well-designed phishing attack. The targets of the phishing attacks, which are mainly on-line banking consumers and payment service providers, are facing substantial financial loss and lack of trust in Internet-based services. In order to overcome these, there is an urgent need to find solutions to combat phishing attacks. Detecting phishing website is a complex task which requires significant expert knowledge and experience. So far, various solutions have been proposed and developed to address these problems. Most of these approaches are not able to make a decision dynamically on whether the site is in fact phished, giving rise to a large number of false positives. This is mainly due to limitation of the previously proposed approaches, for example depending only on fixed black and white listing database, missing of human intelligence and experts, poor scalability and theirtimeliness. In this research we investigated and developed the application of an intelligent fuzzy-based classification system for e-banking phishing website detection. The main aim of the proposed system is to provide protection to users from phishers deception tricks, giving them the ability to detect the legitimacy of the websites. The proposed intelligent phishing detection system employed Fuzzy Logic (FL) model with association classification mining algorithms. The approach combined the capabilities of fuzzy reasoning in measuring imprecise and dynamic phishing features, with the capability to classify the phishing fuzzy rules. Different phishing experiments which cover all phishing attacks, motivations and deception behavior techniques have been conducted to cover all phishing concerns. A layered fuzzy structure has been constructed for all gathered and extracted phishing website features and patterns. These have been divided into 6 criteria and distributed to 3 layers, based on their attack type. To reduce human knowledge intervention, different classification and association algorithms have been implemented to generate fuzzy phishing rules automatically, to be integrated inside the fuzzy inference engine for the final phishing detection. Experimental results demonstrated that the ability of the learning approach to identify all relevant fuzzy rules from the training data set. A comparative study and analysis showed that the proposed learning approach has a higher degree of predictive and detective capability than existing models. Experiments also showed significance of some important phishing criteria like URL & Domain Identity, Security & Encryption to the final phishing detection rate. Finally, our proposed intelligent phishing website detection system was developed, tested and validated by incorporating the scheme as a web based plug-ins phishing toolbar. The results obtained are promising and showed that our intelligent fuzzy based classification detectionsystem can provide an effective help for real-time phishing website detection. The toolbar successfully recognized and detected approximately 92% of the phishing websites selected from our test data set, avoiding many miss-classified websites and false phishing alarms.
Book Synopsis A Machine-Learning Approach to Phishing Detection and Defense by : Iraj Sadegh Amiri
Download or read book A Machine-Learning Approach to Phishing Detection and Defense written by Iraj Sadegh Amiri and published by Syngress. This book was released on 2014-12-05 with total page 101 pages. Available in PDF, EPUB and Kindle. Book excerpt: Phishing is one of the most widely-perpetrated forms of cyber attack, used to gather sensitive information such as credit card numbers, bank account numbers, and user logins and passwords, as well as other information entered via a web site. The authors of A Machine-Learning Approach to Phishing Detetion and Defense have conducted research to demonstrate how a machine learning algorithm can be used as an effective and efficient tool in detecting phishing websites and designating them as information security threats. This methodology can prove useful to a wide variety of businesses and organizations who are seeking solutions to this long-standing threat. A Machine-Learning Approach to Phishing Detetion and Defense also provides information security researchers with a starting point for leveraging the machine algorithm approach as a solution to other information security threats. Discover novel research into the uses of machine-learning principles and algorithms to detect and prevent phishing attacks Help your business or organization avoid costly damage from phishing sources Gain insight into machine-learning strategies for facing a variety of information security threats
Book Synopsis Phishing Detection Using Content-Based Image Classification by : Shekhar Khandelwal
Download or read book Phishing Detection Using Content-Based Image Classification written by Shekhar Khandelwal and published by CRC Press. This book was released on 2022-06-01 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: Phishing Detection Using Content-Based Image Classification is an invaluable resource for any deep learning and cybersecurity professional and scholar trying to solve various cybersecurity tasks using new age technologies like Deep Learning and Computer Vision. With various rule-based phishing detection techniques at play which can be bypassed by phishers, this book provides a step-by-step approach to solve this problem using Computer Vision and Deep Learning techniques with significant accuracy. The book offers comprehensive coverage of the most essential topics, including: Programmatically reading and manipulating image data Extracting relevant features from images Building statistical models using image features Using state-of-the-art Deep Learning models for feature extraction Build a robust phishing detection tool even with less data Dimensionality reduction techniques Class imbalance treatment Feature Fusion techniques Building performance metrics for multi-class classification task Another unique aspect of this book is it comes with a completely reproducible code base developed by the author and shared via python notebooks for quick launch and running capabilities. They can be leveraged for further enhancing the provided models using new advancement in the field of computer vision and more advanced algorithms.
Book Synopsis Cyber Threat Intelligence by : Ali Dehghantanha
Download or read book Cyber Threat Intelligence written by Ali Dehghantanha and published by Springer. This book was released on 2018-04-27 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides readers with up-to-date research of emerging cyber threats and defensive mechanisms, which are timely and essential. It covers cyber threat intelligence concepts against a range of threat actors and threat tools (i.e. ransomware) in cutting-edge technologies, i.e., Internet of Things (IoT), Cloud computing and mobile devices. This book also provides the technical information on cyber-threat detection methods required for the researcher and digital forensics experts, in order to build intelligent automated systems to fight against advanced cybercrimes. The ever increasing number of cyber-attacks requires the cyber security and forensic specialists to detect, analyze and defend against the cyber threats in almost real-time, and with such a large number of attacks is not possible without deeply perusing the attack features and taking corresponding intelligent defensive actions – this in essence defines cyber threat intelligence notion. However, such intelligence would not be possible without the aid of artificial intelligence, machine learning and advanced data mining techniques to collect, analyze, and interpret cyber-attack campaigns which is covered in this book. This book will focus on cutting-edge research from both academia and industry, with a particular emphasis on providing wider knowledge of the field, novelty of approaches, combination of tools and so forth to perceive reason, learn and act on a wide range of data collected from different cyber security and forensics solutions. This book introduces the notion of cyber threat intelligence and analytics and presents different attempts in utilizing machine learning and data mining techniques to create threat feeds for a range of consumers. Moreover, this book sheds light on existing and emerging trends in the field which could pave the way for future works. The inter-disciplinary nature of this book, makes it suitable for a wide range of audiences with backgrounds in artificial intelligence, cyber security, forensics, big data and data mining, distributed systems and computer networks. This would include industry professionals, advanced-level students and researchers that work within these related fields.
Download or read book Data Mining written by Mehmed Kantardzic and published by John Wiley & Sons. This book was released on 2019-11-12 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents the latest techniques for analyzing and extracting information from large amounts of data in high-dimensional data spaces The revised and updated third edition of Data Mining contains in one volume an introduction to a systematic approach to the analysis of large data sets that integrates results from disciplines such as statistics, artificial intelligence, data bases, pattern recognition, and computer visualization. Advances in deep learning technology have opened an entire new spectrum of applications. The author—a noted expert on the topic—explains the basic concepts, models, and methodologies that have been developed in recent years. This new edition introduces and expands on many topics, as well as providing revised sections on software tools and data mining applications. Additional changes include an updated list of references for further study, and an extended list of problems and questions that relate to each chapter.This third edition presents new and expanded information that: • Explores big data and cloud computing • Examines deep learning • Includes information on convolutional neural networks (CNN) • Offers reinforcement learning • Contains semi-supervised learning and S3VM • Reviews model evaluation for unbalanced data Written for graduate students in computer science, computer engineers, and computer information systems professionals, the updated third edition of Data Mining continues to provide an essential guide to the basic principles of the technology and the most recent developments in the field.
Book Synopsis Design and Development of a Machine Learning-based Framework for Phishing Website Detection by : Lizhen Tang
Download or read book Design and Development of a Machine Learning-based Framework for Phishing Website Detection written by Lizhen Tang and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Phishing is a social engineering cyber attack to steal personal information from users. Attackers solicit individuals to click phishing links by sending them emails or social media text messages with deceptive content. With the development and applications of machine learning technology, solutions for detecting phishing links have emerged. Subsequently, performance optimization achieved by machine learning-based approaches were predominantly limited to the datasets used to train the model, such as few open source datasets, poorly characterized data points, and outdated datasets. This thesis introduces a framework based on multiple phishing detection strategies, which are whitelist, blacklist, heuristic rules, and machine learning models, to improve accuracy and flexibility. In the machine learning-based method, three traditional models and three deep learning models are trained and compared the performance of their test results, and concluded that the Gated Recurrent Units (GRU) model achieved the highest accuracy of 99.18%. Furthermore, in the expert-driven heuristic rule-based strategy, seven new HTML-based features are proposed. Finally, a prototype has been developed, with a browser extension to display detection results in real-time.
Book Synopsis Phishing and Countermeasures by : Markus Jakobsson
Download or read book Phishing and Countermeasures written by Markus Jakobsson and published by John Wiley & Sons. This book was released on 2006-12-05 with total page 739 pages. Available in PDF, EPUB and Kindle. Book excerpt: Phishing and Counter-Measures discusses how and why phishing is a threat, and presents effective countermeasures. Showing you how phishing attacks have been mounting over the years, how to detect and prevent current as well as future attacks, this text focuses on corporations who supply the resources used by attackers. The authors subsequently deliberate on what action the government can take to respond to this situation and compare adequate versus inadequate countermeasures.
Download or read book E-Commerce Agents written by Jimingx Liu and published by Springer Science & Business Media. This book was released on 2001-04-18 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: Among the many changes brought by the Internet is the emergence of electronic commerce over the Web. E-commerce activities, such as the online exchange of information, services, and products, are opening up completely new opportunities for business, at new levels of productivity and profitability. In parallel with the emergence of e-commerce, intelligent software agents as entities capable of independent action in open, unpredictable environments have matured into a promising new technology. Quite naturally, e-commerce agents hold great promise for exploiting the Internet's full potential as an electronic marketplace. The 20 coherently written chapters in this book by leading researchers and professionals present the state of the art in agent-mediated e-commerce. Researchers, professionals, and advanced students interested in e-commerce or agent technology will find this book an indispensable source of information and reference.
Download or read book Data Mining written by Ian H. Witten and published by Morgan Kaufmann. This book was released on 2000 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a thorough grounding in machine learning concepts combined with practical advice on applying machine learning tools and techniques in real-world data mining situations. Clearly written and effectively illustrated, this book is ideal for anyone involved at any level in the work of extracting usable knowledge from large collections of data. Complementing the book's instruction is fully functional machine learning software.
Book Synopsis WIPO Technology Trends 2019 - Artificial Intelligence by : World Intellectual Property Organization
Download or read book WIPO Technology Trends 2019 - Artificial Intelligence written by World Intellectual Property Organization and published by WIPO. This book was released on 2019-01-21 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first report in a new flagship series, WIPO Technology Trends, aims to shed light on the trends in innovation in artificial intelligence since the field first developed in the 1950s.
Book Synopsis Privacy Preserving Data Mining by : Jaideep Vaidya
Download or read book Privacy Preserving Data Mining written by Jaideep Vaidya and published by Springer Science & Business Media. This book was released on 2005-11-29 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: Privacy preserving data mining implies the "mining" of knowledge from distributed data without violating the privacy of the individual/corporations involved in contributing the data. This volume provides a comprehensive overview of available approaches, techniques and open problems in privacy preserving data mining. Crystallizing much of the underlying foundation, the book aims to inspire further research in this new and growing area. Privacy Preserving Data Mining is intended to be accessible to industry practitioners and policy makers, to help inform future decision making and legislation, and to serve as a useful technical reference.
Book Synopsis Data Intelligence and Cognitive Informatics by : I. Jeena Jacob
Download or read book Data Intelligence and Cognitive Informatics written by I. Jeena Jacob and published by Springer Nature. This book was released on 2021-01-08 with total page 916 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses new cognitive informatics tools, algorithms and methods that mimic the mechanisms of the human brain which lead to an impending revolution in understating a large amount of data generated by various smart applications. The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Intelligence and Cognitive Informatics (ICDICI 2020), organized by SCAD College of Engineering and Technology, Tirunelveli, India, during 8–9 July 2020. The book includes novel work in data intelligence domain which combines with the increasing efforts of artificial intelligence, machine learning, deep learning and cognitive science to study and develop a deeper understanding of the information processing systems.
Book Synopsis Management Information Systems by : Kenneth C. Laudon
Download or read book Management Information Systems written by Kenneth C. Laudon and published by Pearson Educación. This book was released on 2004 with total page 618 pages. Available in PDF, EPUB and Kindle. Book excerpt: Management Information Systems provides comprehensive and integrative coverage of essential new technologies, information system applications, and their impact on business models and managerial decision-making in an exciting and interactive manner. The twelfth edition focuses on the major changes that have been made in information technology over the past two years, and includes new opening, closing, and Interactive Session cases.
Book Synopsis Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences by : Mayank Dave
Download or read book Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences written by Mayank Dave and published by Springer Nature. This book was released on 2021-02-19 with total page 1001 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents best selected papers presented at the International Conference on Paradigms of Computing, Communication and Data Sciences (PCCDS 2020), organized by National Institute of Technology, Kurukshetra, India, during 1–3 May 2020. It discusses high-quality and cutting-edge research in the areas of advanced computing, communications and data science techniques. The book is a collection of latest research articles in computation algorithm, communication and data sciences, intertwined with each other for efficiency.
Book Synopsis Advanced Intelligent Environments by : Wolfgang Minker
Download or read book Advanced Intelligent Environments written by Wolfgang Minker and published by Springer Science & Business Media. This book was released on 2009-06-16 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the last decade a number of research areas have contributed to the concept of advanced intelligent environments, these include ubiquitous computing, pervasive computing, embedded intelligence, intelligent user interfaces, human factors, intelligent buildings, mobile communications, domestic robots, intelligent sensors, artistic and architectural design and ambient intelligence. Undeniably, multimodal spoken language dialogue interaction is a key factor in ensuring natural interaction and therefore of particular interest for advanced intelligent environments. It will therefore represent one focus of the proposed book. The book will cover all key topics in the field of intelligent environments from a variety of leading researchers. It will bring together several perspectives in research and development in the area.
