A Machine Learning Approach to Phishing Detection and Defense

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

Download or Read online A Machine Learning Approach to Phishing Detection and Defense full in PDF, ePub and kindle. this book written by I. S. Amiri and published by Syngress Publishing which was released on 08 December 2014 with total page 100 pages. We cannot guarantee that A Machine Learning Approach to Phishing Detection and Defense book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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

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 BOOK 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.

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 BOOK 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.

Machine Learning in Image Analysis and Pattern Recognition

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  • Publisher : MDPI
  • Release : 08 September 2021
GET THIS BOOK Machine 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.

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  • Publisher : Springer
  • Release : 14 December 2018
GET THIS BOOK Artificial 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

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  • Publisher : CRC Press
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GET THIS BOOK Integrated 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

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  • Publisher : Springer
  • Release : 09 September 2015
GET THIS BOOK Computational 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;

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  • Publisher : Springer
  • Release : 13 June 2019
GET THIS BOOK Developments and Advances in Defense and Security

This book gathers the proceedings of the Multidisciplinary International Conference of Research Applied to Defense and Security (MICRADS), held at the Military Engineering Institute, Rio de Janeiro, Brazil, from 8 to 10th May 2019. It covers a variety of topics in systems, communication and defense; strategy and political-administrative vision in defense; and engineering and technologies applied to defense. Given its scope, it offers a valuable resource for practitioners, researchers, and students alike.

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  • Publisher : Syngress
  • Release : 12 November 2008
GET THIS BOOK Mobile 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

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  • Author : Simon N. Foley
  • Publisher : Springer
  • Release : 02 August 2019
GET THIS BOOK Data 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

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  • Publisher : Springer
  • Release : 24 October 2017
GET THIS BOOK Intelligent Communication and Computational Technologies

The book includes insights that reflect the advances in the field of Internet of Things from upcoming researchers and leading academicians across the globe. It contains the high-quality peer-reviewed papers of ‘International Conference on Internet of Things for Technological Development (IoT4TD 2017)’, held at Kadi Sarva Vishvavidyalaya, Gandhinagar, Gujarat, India during April 1-2, 2017. The book covers variety of topics such as Internet of things, Intelligent Image Processing, Networks and Mobile Communications, Big Data and Cloud. The book is helpful for

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  • Publisher : CRC Press
  • Release : 05 February 2019
GET THIS BOOK Machine Learning for Computer and Cyber Security

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.

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  • Author : Tony Thomas,Athira P. Vijayaraghavan,Sabu Emmanuel
  • Publisher : Springer Nature
  • Release : 16 December 2019
GET THIS BOOK Machine Learning Approaches in Cyber Security Analytics

This book introduces various machine learning methods for cyber security analytics. With an overwhelming amount of data being generated and transferred over various networks, monitoring everything that is exchanged and identifying potential cyber threats and attacks poses a serious challenge for cyber experts. Further, as cyber attacks become more frequent and sophisticated, there is a requirement for machines to predict, detect, and identify them more rapidly. Machine learning offers various tools and techniques to automate and quickly predict, detect, and

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  • Release : 05 February 2021
GET THIS BOOK Research Anthology on Securing Mobile Technologies and Applications

Mobile technologies have become a staple in society for their accessibility and diverse range of applications that are continually growing and advancing. Users are increasingly using these devices for activities beyond simple communication including gaming and e-commerce and to access confidential information including banking accounts and medical records. While mobile devices are being so widely used and accepted in daily life, and subsequently housing more and more personal data, it is evident that the security of these devices is paramount.

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GET THIS BOOK Encyclopedia of Organizational Knowledge Administration and Technology

For any organization to be successful, it must operate in such a manner that knowledge and information, human resources, and technology are continually taken into consideration and managed effectively. Business concepts are always present regardless of the field or industry – in education, government, healthcare, not-for-profit, engineering, hospitality/tourism, among others. Maintaining organizational awareness and a strategic frame of mind is critical to meeting goals, gaining competitive advantage, and ultimately ensuring sustainability. The Encyclopedia of Organizational Knowledge, Administration, and Technology is