A Machine Learning Approach to Phishing Detection and Defense

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

Produk Detail:

  • Author : I. S. Amiri
  • Publisher : Syngress Publishing
  • Pages : 100 pages
  • ISBN : 9780128029275
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKA Machine Learning Approach to Phishing Detection and Defense

A Machine-Learning Approach to Phishing Detection and Defense

A Machine-Learning Approach to Phishing Detection and Defense
  • Author : I. S. Amiri,O. A. Akanbi,Elahe Fazeldehkordi
  • Publisher : Syngress Publishing
  • Release : 08 December 2014
GET THIS BOOKA Machine-Learning Approach to Phishing Detection and Defense

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.

A Machine-Learning Approach to Phishing Detection and Defense

A Machine-Learning Approach to Phishing Detection and Defense
  • Author : Iraj Sadegh Amiri,O.A. Akanbi,E. Fazeldehkordi
  • Publisher : Syngress
  • Release : 05 December 2014
GET THIS BOOKA Machine-Learning Approach to Phishing Detection and Defense

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.

Artificial Cognitive Architecture with Self-Learning and Self-Optimization Capabilities

Artificial Cognitive Architecture with Self-Learning and Self-Optimization Capabilities
  • Author : Gerardo Beruvides
  • Publisher : Springer
  • Release : 14 December 2018
GET THIS BOOKArtificial Cognitive Architecture with Self-Learning and Self-Optimization Capabilities

This book introduces three key issues: (i) development of a gradient-free method to enable multi-objective self-optimization; (ii) development of a reinforcement learning strategy to carry out self-learning and finally, (iii) experimental evaluation and validation in two micromachining processes (i.e., micro-milling and micro-drilling). The computational architecture (modular, network and reconfigurable for real-time monitoring and control) takes into account the analysis of different types of sensors, processing strategies and methodologies for extracting behavior patterns from representative process’ signals. The reconfiguration capability

Machine Learning in Image Analysis and Pattern Recognition

Machine Learning in Image Analysis and Pattern Recognition
  • Author : Munish Kumar , R. K. Sharma,Ishwar Sethi
  • Publisher : MDPI
  • Release : 08 September 2021
GET THIS BOOKMachine Learning in Image Analysis and Pattern Recognition

This book is to chart the progress in applying machine learning, including deep learning, to a broad range of image analysis and pattern recognition problems and applications. In this book, we have assembled original research articles making unique contributions to the theory, methodology and applications of machine learning in image analysis and pattern recognition.

Computational Collective Intelligence

Computational Collective Intelligence
  • Author : Manuel Núñez,Ngoc Thanh Nguyen,David Camacho,Bogdan Trawiński
  • Publisher : Springer
  • Release : 09 September 2015
GET THIS BOOKComputational Collective Intelligence

This two-volume set (LNAI 9329 and LNAI 9330) constitutes the refereed proceedings of the 7th International Conference on Collective Intelligence, ICCCI 2014, held in Madrid, Spain, in September 2015. The 110 full papers presented were carefully reviewed and selected from 186 submissions. They are organized in topical sections such as multi-agent systems; social networks and NLP; sentiment analysis; computational intelligence and games; ontologies and information extraction; formal methods and simulation; neural networks, SMT and MIS; collective intelligence in Web systems – Web systems analysis; computational swarm intelligence;

Communications, Signal Processing, and Systems

Communications, Signal Processing, and Systems
  • Author : Qilian Liang,Wei Wang,Xin Liu,Zhenyu Na,Min Jia,Baoju Zhang
  • Publisher : Springer Nature
  • Release : 04 April 2020
GET THIS BOOKCommunications, Signal Processing, and Systems

This book brings together papers from the 2019 International Conference on Communications, Signal Processing, and Systems, which was held in Urumqi, China, on July 20–22, 2019. Presenting the latest developments and discussing the interactions and links between these multidisciplinary fields, the book spans topics ranging from communications to signal processing and systems. It is chiefly intended for undergraduate and graduate students in electrical engineering, computer science and mathematics, researchers and engineers from academia and industry, as well as government employees.

Integrated Micro-Ring Photonics

Integrated Micro-Ring Photonics
  • Author : Iraj Sadegh Amiri,Abdolkarim Afroozeh,Harith Ahmad
  • Publisher : CRC Press
  • Release : 08 December 2016
GET THIS BOOKIntegrated Micro-Ring Photonics

Micro-ring resonators (MRRs) are employed to generate signals used for optical communication applications, where they can be integrated in a single system. These structures are ideal candidates for very large-scale integrated (VLSI) photonic circuits, since they provide a wide range of optical signal processing functions while being ultra-compact. Soliton pulses have sufficient stability for preservation of their shape and velocity. Technological progress in fields such as tunable narrow band laser systems, multiple transmission, and MRR systems constitute a base for

Data and Applications Security and Privacy XXXIII

Data and Applications Security and Privacy XXXIII
  • Author : Simon N. Foley
  • Publisher : Springer
  • Release : 04 July 2019
GET THIS BOOKData and Applications Security and Privacy XXXIII

This book constitutes the refereed proceedings of the 33rd Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy, DBSec 2019, held in Charleston, SC, USA, in July 2018. The 21 full papers presented were carefully reviewed and selected from 52 submissions. The papers present high-quality original research from academia, industry, and government on theoretical and practical aspects of information security. They are organized in topical sections on attacks, mobile and Web security, privacy, security protocol practices, distributed systems, source code security, and

Cybersecurity Data Science

Cybersecurity Data Science
  • Author : Scott Mongeau,Andrzej Hajdasinski
  • Publisher : Springer Nature
  • Release : 01 October 2021
GET THIS BOOKCybersecurity Data Science

This book encompasses a systematic exploration of Cybersecurity Data Science (CSDS) as an emerging profession, focusing on current versus idealized practice. This book also analyzes challenges facing the emerging CSDS profession, diagnoses key gaps, and prescribes treatments to facilitate advancement. Grounded in the management of information systems (MIS) discipline, insights derive from literature analysis and interviews with 50 global CSDS practitioners. CSDS as a diagnostic process grounded in the scientific method is emphasized throughout Cybersecurity Data Science (CSDS) is a rapidly

Implications of Artificial Intelligence for Cybersecurity

Implications of Artificial Intelligence for Cybersecurity
  • Author : National Academies of Sciences, Engineering, and Medicine,Division on Engineering and Physical Sciences,Intelligence Community Studies Board,Computer Science and Telecommunications Board
  • Publisher : National Academies Press
  • Release : 27 January 2020
GET THIS BOOKImplications of Artificial Intelligence for Cybersecurity

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

Intelligent Information and Database Systems

Intelligent Information and Database Systems
  • Author : Ngoc Thanh Nguyen (Computer scientist),Suphamit Chittayasothorn,Dusit Niyato,Bogdan Trawiński
  • Publisher : Springer Nature
  • Release : 28 November 2021
GET THIS BOOKIntelligent Information and Database Systems

This book constitutes the refereed proceedings of the 13th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2021, held in Phuket, Thailand, in April 2021.* The 67 full papers accepted for publication in these proceedings were carefully reviewed and selected from 291 submissions. The papers of the first volume are organized in the following topical sections: data mining methods and applications; machine learning methods; decision support and control systems; natural language processing; cybersecurity intelligent methods; computer vision techniques; computational imaging and vision; advanced

Algorithms and Architectures for Parallel Processing, Part II

Algorithms and Architectures for Parallel Processing, Part II
  • Author : Yang Xiang,Alfredo Cuzzocrea,Michael Hobbs,Wanlei Zhou
  • Publisher : Springer Science & Business Media
  • Release : 07 October 2011
GET THIS BOOKAlgorithms and Architectures for Parallel Processing, Part II

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

Information Technology and Mobile Communication

Information Technology and Mobile Communication
  • Author : Vinu V Das,Gylson Thomas,Ford Lumban Gaol
  • Publisher : Springer
  • Release : 11 April 2011
GET THIS BOOKInformation Technology and Mobile Communication

This book constitutes the refereed proceedings of the International Conference on Advances in Information Technology and Mobile Communication, AIM 2011, held at Nagpur, India, in April 2011. The 31 revised full papers presented together with 27 short papers and 34 poster papers were carefully reviewed and selected from 313 submissions. The papers cover all current issues in theory, practices, and applications of Information Technology, Computer and Mobile Communication Technology and related topics.

Advanced Smart Computing Technologies in Cybersecurity and Forensics

Advanced Smart Computing Technologies in Cybersecurity and Forensics
  • Author : Keshav Kaushik,Shubham Tayal,Akashdeep Bhardwaj,Manoj Kumar
  • Publisher : CRC Press
  • Release : 16 December 2021
GET THIS BOOKAdvanced Smart Computing Technologies in Cybersecurity and Forensics

This book addresses the topics related to artificial intelligence, the Internet of Things, blockchain technology, and machine learning. It brings together researchers, developers, practitioners, and users interested in cybersecurity and forensics. The first objective is to learn and understand the need for and impact of advanced cybersecurity and forensics and its implementation with multiple smart computational technologies. This objective answers why and how cybersecurity and forensics have evolved as one of the most promising and widely-accepted technologies globally and has

Mobile Malware Attacks and Defense

Mobile Malware Attacks and Defense
  • Author : Ken Dunham
  • Publisher : Syngress
  • Release : 12 November 2008
GET THIS BOOKMobile Malware Attacks and Defense

Malware has gone mobile, and the security landscape is changing quickly with emerging attacks on cell phones, PDAs, and other mobile devices. This first book on the growing threat covers a wide range of malware targeting operating systems like Symbian and new devices like the iPhone. Examining code in past, current, and future risks, protect your banking, auctioning, and other activities performed on mobile devices. * Visual Payloads View attacks as visible to the end user, including notation of variants. * Timeline