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Phishing Website Detection Using Intelligent Data Mining Techniques
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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 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 2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA) by : IEEE Staff
Download or read book 2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA) written by IEEE Staff and published by . This book was released on 2017-11-21 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The International Conference on Electrical and Computing Technologies and Applications, 2017 (ICECTA 2017) focuses on the latest theoretical and practical developments in the fields of Electrical Engineering, Computing Technologies, their Applications and the related fields It is organized by the American University of Ras Al Khaimah (AURAK), UAE It aims to provide engineers, professionals, academics and researchers with a platform to share their current research findings and explore recent developments, current practices and future research directions
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 Swarm, Evolutionary, and Memetic Computing by : Bijaya Ketan Panigrahi
Download or read book Swarm, Evolutionary, and Memetic Computing written by Bijaya Ketan Panigrahi and published by Springer. This book was released on 2013-12-02 with total page 776 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 8297 and LNCS 8298 constitutes the proceedings of the 4th International Conference on Swarm, Evolutionary and Memetic Computing, SEMCCO 2013, held in Chennai, India, in December 2013. The total of 123 papers presented in this volume set was carefully reviewed and selected for inclusion in the proceedings. They cover cutting-edge research on swarm, evolutionary and memetic computing, neural and fuzzy computing and its application.
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 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 Intelligent Data Analysis by : Deepak Gupta
Download or read book Intelligent Data Analysis written by Deepak Gupta and published by John Wiley & Sons. This book was released on 2020-07-13 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on methods and tools for intelligent data analysis, aimed at narrowing the increasing gap between data gathering and data comprehension, and emphasis will also be given to solving of problems which result from automated data collection, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and so on. This book aims to describe the different approaches of Intelligent Data Analysis from a practical point of view: solving common life problems with data analysis tools.
Book Synopsis Investigative Data Mining for Security and Criminal Detection by : Jesus Mena
Download or read book Investigative Data Mining for Security and Criminal Detection written by Jesus Mena and published by Butterworth-Heinemann. This book was released on 2003 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher Description
Book Synopsis Intelligent Technologies and Applications by : Imran Sarwar Bajwa
Download or read book Intelligent Technologies and Applications written by Imran Sarwar Bajwa and published by Springer. This book was released on 2019-03-11 with total page 853 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Conference on Intelligent Technologies and Applications, INTAP 2018, held in Bahawalpur, Pakistan, in October 2018. The 68 revised full papers and 6 revised short papers presented were carefully reviewed and selected from 251 submissions. The papers of this volume are organized in topical sections on AI and health; sentiment analysis; intelligent applications; social media analytics; business intelligence;Natural Language Processing; information extraction; machine learning; smart systems; semantic web; decision support systems; image analysis; automated software engineering.
Book Synopsis Intelligent Security Solutions for Cyber-Physical Systems by : Vandana Mohindru Sood
Download or read book Intelligent Security Solutions for Cyber-Physical Systems written by Vandana Mohindru Sood and published by CRC Press. This book was released on 2024-04-22 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: A cyber-physical system (CPS) is a computer system in which a mechanism is controlled or monitored by computer-based algorithms and involves transdisciplinary approaches, merging theories of cybernetics, mechatronics, design, and process science. This text mainly concentrates on offering a foundational theoretical underpinning, and a comprehensive and coherent review of intelligent security solutions for cyber-physical systems. Features: • Provides an overview of cyber-physical systems (CPSs) along with security concepts like attack detection methods, cyber-physical systems failures, and risk identification and management. • Showcases cyber-physical systems (CPSs) security solutions, lightweight cryptographic solutions, and CPS forensics, etc. • Emphasizes machine learning methods for behavior-based intrusion detection in cyber-physical systems (CPSs), resilient machine learning for networked CPS, fog computing industrial CPS, etc. • Elaborates classification of network abnormalities in Internet of Things-based cyber-physical systems (CPSs) using deep learning. • Includes case studies and applications in the domain of smart grid systems, industrial control systems, smart manufacturing, social network and gaming, electric power grid and energy systems, etc.
Book Synopsis Artificial Intelligence and Data Mining Approaches in Security Frameworks by : Neeraj Bhargava
Download or read book Artificial Intelligence and Data Mining Approaches in Security Frameworks written by Neeraj Bhargava and published by John Wiley & Sons. This book was released on 2021-08-24 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: ARTIFICIAL INTELLIGENCE AND DATA MINING IN SECURITY FRAMEWORKS Written and edited by a team of experts in the field, this outstanding new volume offers solutions to the problems of security, outlining the concepts behind allowing computers to learn from experience and understand the world in terms of a hierarchy of concepts, with each concept defined through its relation to simpler concepts. Artificial intelligence (AI) and data mining is the fastest growing field in computer science. AI and data mining algorithms and techniques are found to be useful in different areas like pattern recognition, automatic threat detection, automatic problem solving, visual recognition, fraud detection, detecting developmental delay in children, and many other applications. However, applying AI and data mining techniques or algorithms successfully in these areas needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to artificial intelligence. Successful application of security frameworks to enable meaningful, cost effective, personalized security service is a primary aim of engineers and researchers today. However realizing this goal requires effective understanding, application and amalgamation of AI and data mining and several other computing technologies to deploy such a system in an effective manner. This book provides state of the art approaches of artificial intelligence and data mining in these areas. It includes areas of detection, prediction, as well as future framework identification, development, building service systems and analytical aspects. In all these topics, applications of AI and data mining, such as artificial neural networks, fuzzy logic, genetic algorithm and hybrid mechanisms, are explained and explored. This book is aimed at the modeling and performance prediction of efficient security framework systems, bringing to light a new dimension in the theory and practice. This groundbreaking new volume presents these topics and trends, bridging the research gap on AI and data mining to enable wide-scale implementation. Whether for the veteran engineer or the student, this is a must-have for any library. This groundbreaking new volume: Clarifies the understanding of certain key mechanisms of technology helpful in the use of artificial intelligence and data mining in security frameworks Covers practical approaches to the problems engineers face in working in this field, focusing on the applications used every day Contains numerous examples, offering critical solutions to engineers and scientists Presents these new applications of AI and data mining that are of prime importance to human civilization as a whole
Book Synopsis Emerging Research in Intelligent Systems by : Miguel Botto-Tobar
Download or read book Emerging Research in Intelligent Systems written by Miguel Botto-Tobar and published by Springer Nature. This book was released on 2022-02-02 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the XVI Multidisciplinary International Congress on Science and Technology (CIT 2021), held in Quito, Ecuador, on June 14–18, 2021, proudly organized by Universidad de las Fuerzas Armadas ESPE in collaboration with GDEON. CIT is an international event with a multidisciplinary approach that promotes the dissemination of advances in science and technology research through the presentation of keynote conferences. In CIT, theoretical, technical, or application works that are research products are presented to discuss and debate ideas, experiences, and challenges. Presenting high-quality, peer-reviewed papers, the book discusses the following topics: Artificial Intelligence Computational Modeling Data Communications Defense Engineering Innovation, Technology, and Society Managing Technology & Sustained Innovation, and Business Development Security and Cryptography Software Engineering
Book Synopsis Investigative Data Mining for Security and Criminal Detection by : Jesus Mena
Download or read book Investigative Data Mining for Security and Criminal Detection written by Jesus Mena and published by Elsevier. This book was released on 2003-04-07 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: Investigative Data Mining for Security and Criminal Detection is the first book to outline how data mining technologies can be used to combat crime in the 21st century. It introduces security managers, law enforcement investigators, counter-intelligence agents, fraud specialists, and information security analysts to the latest data mining techniques and shows how they can be used as investigative tools. Readers will learn how to search public and private databases and networks to flag potential security threats and root out criminal activities even before they occur. The groundbreaking book reviews the latest data mining technologies including intelligent agents, link analysis, text mining, decision trees, self-organizing maps, machine learning, and neural networks. Using clear, understandable language, it explains the application of these technologies in such areas as computer and network security, fraud prevention, law enforcement, and national defense. International case studies throughout the book further illustrate how these technologies can be used to aid in crime prevention.Investigative Data Mining for Security and Criminal Detection will also serve as an indispensable resource for software developers and vendors as they design new products for the law enforcement and intelligence communities.Key Features:* Covers cutting-edge data mining technologies available to use in evidence gathering and collection * Includes numerous case studies, diagrams, and screen captures to illustrate real-world applications of data mining * Easy-to-read format illustrates current and future data mining uses in preventative law enforcement, criminal profiling, counter-terrorist initiatives, and forensic science * Introduces cutting-edge technologies in evidence gathering and collection, using clear non-technical language* Illustrates current and future applications of data mining tools in preventative law enforcement, homeland security, and other areas of crime detection and prevention* Shows how to construct predictive models for detecting criminal activity and for behavioral profiling of perpetrators* Features numerous Web links, vendor resources, case studies, and screen captures illustrating the use of artificial intelligence (AI) technologies
Book Synopsis Recent Findings in Intelligent Computing Techniques by : Pankaj Kumar Sa
Download or read book Recent Findings in Intelligent Computing Techniques written by Pankaj Kumar Sa and published by Springer. This book was released on 2018-11-03 with total page 611 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three volume book contains the Proceedings of 5th International Conference on Advanced Computing, Networking and Informatics (ICACNI 2017). The book focuses on the recent advancement of the broad areas of advanced computing, networking and informatics. It also includes novel approaches devised by researchers from across the globe. This book brings together academic scientists, professors, research scholars and students to share and disseminate information on knowledge and scientific research works related to computing, networking, and informatics to discuss the practical challenges encountered and the solutions adopted. The book also promotes translation of basic research into applied investigation and convert applied investigation into practice.
Book Synopsis Intelligent Systems and Applications by : Kohei Arai
Download or read book Intelligent Systems and Applications written by Kohei Arai and published by Springer Nature. This book was released on 2020-08-25 with total page 794 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book Intelligent Systems and Applications - Proceedings of the 2020 Intelligent Systems Conference is a remarkable collection of chapters covering a wider range of topics in areas of intelligent systems and artificial intelligence and their applications to the real world. The Conference attracted a total of 545 submissions from many academic pioneering researchers, scientists, industrial engineers, students from all around the world. These submissions underwent a double-blind peer review process. Of those 545 submissions, 177 submissions have been selected to be included in these proceedings. As intelligent systems continue to replace and sometimes outperform human intelligence in decision-making processes, they have enabled a larger number of problems to be tackled more effectively.This branching out of computational intelligence in several directions and use of intelligent systems in everyday applications have created the need for such an international conference which serves as a venue to report on up-to-the-minute innovations and developments. This book collects both theory and application based chapters on all aspects of artificial intelligence, from classical to intelligent scope. We hope that readers find the volume interesting and valuable; it provides the state of the art intelligent methods and techniques for solving real world problems along with a vision of the future research.
