A Machine Learning Approach To Phishing Detection And Defense


A Machine Learning Approach To Phishing Detection And Defense
DOWNLOAD

Download A Machine Learning Approach To Phishing Detection And Defense PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get A Machine Learning Approach To Phishing Detection And Defense book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page





A Machine Learning Approach To Phishing Detection And Defense


A Machine Learning Approach To Phishing Detection And Defense
DOWNLOAD

Author : Iraj Sadegh Amiri
language : en
Publisher: Syngress
Release Date : 2014-12-05

A Machine Learning Approach To Phishing Detection And Defense written by Iraj Sadegh Amiri and has been published by Syngress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-05 with Computers categories.


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



Phishing Detection Using Content Based Image Classification


Phishing Detection Using Content Based Image Classification
DOWNLOAD

Author : Shekhar Khandelwal
language : en
Publisher: CRC Press
Release Date : 2022-06-01

Phishing Detection Using Content Based Image Classification written by Shekhar Khandelwal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Computers categories.


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.



Intelligent Approaches To Cyber Security


Intelligent Approaches To Cyber Security
DOWNLOAD

Author : Narendra M Shekokar
language : en
Publisher: CRC Press
Release Date : 2023-10-11

Intelligent Approaches To Cyber Security written by Narendra M Shekokar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-11 with Computers categories.


Intelligent Approach to Cyber Security provides details on the important cyber security threats and its mitigation and the influence of Machine Learning, Deep Learning and Blockchain technologies in the realm of cyber security. Features: Role of Deep Learning and Machine Learning in the Field of Cyber Security Using ML to defend against cyber-attacks Using DL to defend against cyber-attacks Using blockchain to defend against cyber-attacks This reference text will be useful for students and researchers interested and working in future cyber security issues in the light of emerging technology in the cyber world.



Algorithms And Architectures For Parallel Processing Part Ii


Algorithms And Architectures For Parallel Processing Part Ii
DOWNLOAD

Author : Yang Xiang
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-10-07

Algorithms And Architectures For Parallel Processing Part Ii written by Yang Xiang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-07 with Computers categories.


This two volume set LNCS 7016 and LNCS 7017 constitutes the refereed proceedings of the 11th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2011, held in Melbourne, Australia, in October 2011. The second volume includes 37 papers from one symposium and three workshops held together with ICA3PP 2011 main conference. These are 16 papers from the 2011 International Symposium on Advances of Distributed Computing and Networking (ADCN 2011), 10 papers of the 4th IEEE International Workshop on Internet and Distributed Computing Systems (IDCS 2011), 7 papers belonging to the III International Workshop on Multicore and Multithreaded Architectures and Algorithms (M2A2 2011), as well as 4 papers of the 1st IEEE International Workshop on Parallel Architectures for Bioinformatics Systems (HardBio 2011).



Network Intrusion Detection Using Deep Learning


Network Intrusion Detection Using Deep Learning
DOWNLOAD

Author : Kwangjo Kim
language : en
Publisher: Springer
Release Date : 2018-09-25

Network Intrusion Detection Using Deep Learning written by Kwangjo Kim and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-25 with Computers categories.


This book presents recent advances in intrusion detection systems (IDSs) using state-of-the-art deep learning methods. It also provides a systematic overview of classical machine learning and the latest developments in deep learning. In particular, it discusses deep learning applications in IDSs in different classes: generative, discriminative, and adversarial networks. Moreover, it compares various deep learning-based IDSs based on benchmarking datasets. The book also proposes two novel feature learning models: deep feature extraction and selection (D-FES) and fully unsupervised IDS. Further challenges and research directions are presented at the end of the book. Offering a comprehensive overview of deep learning-based IDS, the book is a valuable reerence resource for undergraduate and graduate students, as well as researchers and practitioners interested in deep learning and intrusion detection. Further, the comparison of various deep-learning applications helps readers gain a basic understanding of machine learning, and inspires applications in IDS and other related areas in cybersecurity.



Machine Learning For Computer And Cyber Security


Machine Learning For Computer And Cyber Security
DOWNLOAD

Author : Brij B. Gupta
language : en
Publisher: CRC Press
Release Date : 2019-02-05

Machine Learning For Computer And Cyber Security written by Brij B. Gupta and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-05 with Computers categories.


While Computer Security is a broader term which incorporates technologies, protocols, standards and policies to ensure the security of the computing systems including the computer hardware, software and the information stored in it, Cyber Security is a specific, growing field to protect computer networks (offline and online) from unauthorized access, botnets, phishing scams, etc. Machine learning is a branch of Computer Science which enables computing machines to adopt new behaviors on the basis of observable and verifiable data and information. It can be applied to ensure the security of the computers and the information by detecting anomalies using data mining and other such techniques. This book will be an invaluable resource to understand the importance of machine learning and data mining in establishing computer and cyber security. It emphasizes important security aspects associated with computer and cyber security along with the analysis of machine learning and data mining based solutions. The book also highlights the future research domains in which these solutions can be applied. Furthermore, it caters to the needs of IT professionals, researchers, faculty members, scientists, graduate students, research scholars and software developers who seek to carry out research and develop combating solutions in the area of cyber security using machine learning based approaches. It is an extensive source of information for the readers belonging to the field of Computer Science and Engineering, and Cyber Security professionals. Key Features: This book contains examples and illustrations to demonstrate the principles, algorithms, challenges and applications of machine learning and data mining for computer and cyber security. It showcases important security aspects and current trends in the field. It provides an insight of the future research directions in the field. Contents of this book help to prepare the students for exercising better defense in terms of understanding the motivation of the attackers and how to deal with and mitigate the situation using machine learning based approaches in better manner.



Intrusion Detection


Intrusion Detection
DOWNLOAD

Author : Zhenwei Yu
language : en
Publisher: World Scientific
Release Date : 2011

Intrusion Detection written by Zhenwei Yu and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Computers categories.


Introduces the concept of intrusion detection, discusses various approaches for intrusion detection systems (IDS), and presents the architecture and implementation of IDS. This title also includes the performance comparison of various IDS via simulation.



Implications Of Artificial Intelligence For Cybersecurity


Implications Of Artificial Intelligence For Cybersecurity
DOWNLOAD

Author : National Academies of Sciences, Engineering, and Medicine
language : en
Publisher: National Academies Press
Release Date : 2020-01-27

Implications Of Artificial Intelligence For Cybersecurity written by National Academies of Sciences, Engineering, and Medicine and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-27 with Computers categories.


In recent years, interest and progress in the area of artificial intelligence (AI) and machine learning (ML) have boomed, with new applications vigorously pursued across many sectors. At the same time, the computing and communications technologies on which we have come to rely present serious security concerns: cyberattacks have escalated in number, frequency, and impact, drawing increased attention to the vulnerabilities of cyber systems and the need to increase their security. In the face of this changing landscape, there is significant concern and interest among policymakers, security practitioners, technologists, researchers, and the public about the potential implications of AI and ML for cybersecurity. The National Academies of Sciences, Engineering, and Medicine convened a workshop on March 12-13, 2019 to discuss and explore these concerns. This publication summarizes the presentations and discussions from the workshop.



Handbook Of Research On Cyber Approaches To Public Administration And Social Policy


Handbook Of Research On Cyber Approaches To Public Administration And Social Policy
DOWNLOAD

Author : Özsungur, Fahri
language : en
Publisher: IGI Global
Release Date : 2022-06-10

Handbook Of Research On Cyber Approaches To Public Administration And Social Policy written by Özsungur, Fahri and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-10 with Political Science categories.


During the COVID-19 era, the functions of social policy and public administration have undergone a meaningful change, especially with the advancement of digital elements and online and virtual functions. Cyber developments, cyber threats, and the effects of cyberwar on the public administrations of countries have become critical research subjects, and it is important to have resources that can introduce and guide users through the current best practices, laboratory methods, policies, protocols, and more within cyber public administration and social policy. The Handbook of Research on Cyber Approaches to Public Administration and Social Policy focuses on the post-pandemic changes in the functions of social policy and public administration. It also examines the implications of the cyber cosmos on public and social policies and practices from a broad perspective. Covering topics such as intersectional racism, cloud computing applications, and public policies, this major reference work is an essential resource for scientists, laboratory technicians, professionals, technologists, computer scientists, policymakers, students, educators, researchers, and academicians.



Machine Learning For Cyber Security


Machine Learning For Cyber Security
DOWNLOAD

Author : Preeti Malik
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2022-12-05

Machine Learning For Cyber Security written by Preeti Malik and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-05 with Business & Economics categories.


This book shows how machine learning (ML) methods can be used to enhance cyber security operations, including detection, modeling, monitoring as well as defense against threats to sensitive data and security systems. Filling an important gap between ML and cyber security communities, it discusses topics covering a wide range of modern and practical ML techniques, frameworks and tools.