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Detection And Analysis Of Phishing Attacks
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Book Synopsis Phishing: Detection, Analysis and Prevention by : Amrita Mitra
Download or read book Phishing: Detection, Analysis and Prevention written by Amrita Mitra and published by . This book was released on 2019-04-26 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book "Phishing: Detection, Analysis And Prevention" discusses on different types of phishing scams and various techniques that are commonly used by attackers in a phishing scam. This book also analyses several phishing messages and shows the readers what all warning signs and red flags each of those messages contains. The book also discusses on the do's and don'ts a user should follow even when a received message does not have any visible warning signs.
Book Synopsis Soft Computing Applications in Industry by : Bhanu Prasad
Download or read book Soft Computing Applications in Industry written by Bhanu Prasad and published by Springer. This book was released on 2008-02-13 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Softcomputing techniques play a vital role in the industry. This book presents several important papers presented by some of the well-known scientists from all over the globe. The main techniques of soft computing presented include ant-colony optimization, artificial immune systems, artificial neural networks, Bayesian models. The book includes various examples and application domains such as bioinformatics, detection of phishing attacks, and fault detection of motors.
Book Synopsis Detection and Analysis of Phishing Attacks by : Qian Cui
Download or read book Detection and Analysis of Phishing Attacks written by Qian Cui and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The so-called "phishing attacks" are attacks in which a legitimate website is impersonated, in order to steal sensitive information from end-users. Phishing attacks represent one of the important threats to individuals and corporations in today's Internet. This problem has been actively researched by both academia and the industry over the past few years. Attempts to provide effective anti-phishing solutions have followed two main approaches: The first one is to identify a phishing attack by comparing its similarity to the target site. The second approach is to look at intrinsic characteristics of the attacks. In this thesis, we first look at this problem from a new angle. Instead of using the intrinsic characteristics of an attack or of comparing the similarity between attacks and target sites, we go back to the source of the problem. We perform an in-depth analysis of how phishing attacks are being built by the attackers. We show that most phishing attacks are duplicates or quasi-duplicates of former attacks. Given that phishing attacks are not built from scratch, we propose two clustering-based methods to evaluate the similarity between attacks. When comparing a newly reported attack against our database of known ones, our method achieves an accuracy of at least 90%, with a false-positive rate of 0.65%. We then explore the evolution of phishing attacks and track variations over time. Our aim is to better understand what attackers do change, and why, across iterations of the attack. We propose a graph-based model in order to monitor and analyze theses changes and their relations. In addition to the detection and analysis of phishing attacks on the client-side, we also explore the server-side aspect of phishing. We conduct a static analysis of the source code of "phishing kits" and propose an approach to track stolen information. Since most phishing attacks use email as the means to exfiltrate stolen information, we propose a deep learning model to detect these messages in network traffic. This approach can be used to easily detect that a phishing attack is hosted inside a large network for example. The third and final contribution of this thesis is a "blind" phishing scanning system, which is used to search for and identify unreported phishing attacks at large scale. The only input of that system is a very large list of domain names. In order to efficiently handle the list, we propose a ranking algorithm which combines natural language processing and machine learning techniques to prioritize the domains that are most likely to be harmful. We then mine our extensive, real-time phishing attack database to guess possible URLs of attacks on these domains and use our own detection algorithm for eventual detection.
Book Synopsis Secure Data Management by : Willem Jonker
Download or read book Secure Data Management written by Willem Jonker and published by Springer. This book was released on 2007-09-06 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Fourth VLDB 2007 International Workshop on Secure Data Management, SDM 2007, held in Vienna, Austria, September 23-24, 2007 in conjunction with VLDB 2007. The 11 revised full papers presented were carefully reviewed and selected from 29 submissions. The papers are organized in topical sections on Access Control, Database Security, Privacy Protection and Positon Papers.
Book Synopsis Computer Security -- ESORICS 2012 by : Sara Foresti
Download or read book Computer Security -- ESORICS 2012 written by Sara Foresti and published by Springer. This book was released on 2012-08-19 with total page 911 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 17th European Symposium on Computer Security, ESORICS 2012, held in Pisa, Italy, in September 2012. The 50 papers included in the book were carefully reviewed and selected from 248 papers. The articles are organized in topical sections on security and data protection in real systems; formal models for cryptography and access control; security and privacy in mobile and wireless networks; counteracting man-in-the-middle attacks; network security; users privacy and anonymity; location privacy; voting protocols and anonymous communication; private computation in cloud systems; formal security models; identity based encryption and group signature; authentication; encryption key and password security; malware and phishing; and software security.
Book Synopsis Advances in Human Factors in Cybersecurity by : Isabella Corradini
Download or read book Advances in Human Factors in Cybersecurity written by Isabella Corradini and published by Springer Nature. This book was released on 2020-07-03 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports on the latest research and developments in the field of human factors in cybersecurity. It analyzes how the human vulnerabilities can be exploited by cybercriminals and proposes methods and tools to increase cybersecurity awareness. The chapters cover the social, economic and behavioral aspects of the cyberspace, providing a comprehensive perspective to manage cybersecurity risks. By gathering the proceedings of the AHFE Virtual Conference on Human Factors Cybersecurity, held on July 16–20, 2020, this book offers a timely perspective of key psychological and organizational factors influencing cybersecurity, reporting on technical tools, training methods and personnel management strategies that should enable achieving a holistic cyber protection for both individuals and organizations. By combining concepts and methods of engineering, education, computer science and psychology, it offers an inspiring guide for researchers and professionals, as well as decision-makers, working at the interfaces of those fields.
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 Building an Information Security Awareness Program by : Bill Gardner
Download or read book Building an Information Security Awareness Program written by Bill Gardner and published by Elsevier. This book was released on 2014-08-12 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: The best defense against the increasing threat of social engineering attacks is Security Awareness Training to warn your organization's staff of the risk and educate them on how to protect your organization's data. Social engineering is not a new tactic, but Building an Security Awareness Program is the first book that shows you how to build a successful security awareness training program from the ground up. Building an Security Awareness Program provides you with a sound technical basis for developing a new training program. The book also tells you the best ways to garner management support for implementing the program. Author Bill Gardner is one of the founding members of the Security Awareness Training Framework. Here, he walks you through the process of developing an engaging and successful training program for your organization that will help you and your staff defend your systems, networks, mobile devices, and data. Forewords written by Dave Kennedy and Kevin Mitnick! - The most practical guide to setting up a Security Awareness training program in your organization - Real world examples show you how cyber criminals commit their crimes, and what you can do to keep you and your data safe - Learn how to propose a new program to management, and what the benefits are to staff and your company - Find out about various types of training, the best training cycle to use, metrics for success, and methods for building an engaging and successful program
Book Synopsis Phishing and Communication Channels by : Gunikhan Sonowal
Download or read book Phishing and Communication Channels written by Gunikhan Sonowal and published by Apress. This book was released on 2021-12-09 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mitigate the dangers posed by phishing activities, a common cybercrime carried out through email attacks. This book details tools and techniques to protect against phishing in various communication channels. The aim of phishing is to fraudulently obtain sensitive credentials such as passwords, usernames, or social security numbers by impersonating a trustworthy entity in a digital communication. Phishing attacks have increased exponentially in recent years, and target all categories of web users, leading to huge financial losses to consumers and businesses. According to Verizon’s 2020 Data Breach Investigations Report (DBIR), 22% of all breaches in 2019 involved phishing. And 65% of organizations in the USA experience a successful phishing attack. This book discusses the various forms of phishing attacks, the communications most often used to carry out attacks, the devices used in the attacks, and the methods used to protect individuals and organizations from phishing attacks. What You Will Learn Understand various forms of phishing attacks, including deceptive, DNS-based, search engine, and contents injection phishing Know which communications are most commonly used, including email, SMS, voice, blog, wifi, and more Be familiar with phishing kits (what they are) and how security experts utilize them to improve user awareness Be aware of the techniques that attackers most commonly use to request information Master the best solutions (including educational, legal, technical) to protect against phishing attacks Who This Book Is For Security professionals who need to educate online users, especially those who deal with banks, online stores, payment systems, governments organizations, social networks and blogs, IT companies, telecommunications companies, and others. The secondary audience includes researchers working to develop novel strategies to fight against phishing activities and undergraduate and graduate instructors of cybersecurity.
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.
Book Synopsis Phishing Detection with Modern NLP Approaches by : Christian Schmid
Download or read book Phishing Detection with Modern NLP Approaches written by Christian Schmid and published by GRIN Verlag. This book was released on 2021-05-31 with total page 59 pages. Available in PDF, EPUB and Kindle. Book excerpt: Masterarbeit aus dem Jahr 2020 im Fachbereich Mathematik - Sonstiges, Note: 1,3, Universität Ulm, Sprache: Deutsch, Abstract: Phishing is a form of identity theft that combines social engineering techniques and sophisticated attack vectors to fraudulently gain confidential information of unsuspecting consumers. To prevent successful phishing attacks, there are several approaches to detect and block phishing emails. In this work, we apply a number of modern transformer based machine learning methods for phishing email detection. Typically, phishing messages imitate trustworthy sources and request information via some form of electronic communication. The most frequent attack route is via email where phishers often try to persuade the email recipients to perform an action. This action may involve revealing confidential information (e.g. passwords) or inadvertently providing access to their computers or networks (e.g. through the installation of malicious software).
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 Malware Detection by : Mihai Christodorescu
Download or read book Malware Detection written by Mihai Christodorescu and published by Springer Science & Business Media. This book was released on 2007-03-06 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book captures the state of the art research in the area of malicious code detection, prevention and mitigation. It contains cutting-edge behavior-based techniques to analyze and detect obfuscated malware. The book analyzes current trends in malware activity online, including botnets and malicious code for profit, and it proposes effective models for detection and prevention of attacks using. Furthermore, the book introduces novel techniques for creating services that protect their own integrity and safety, plus the data they manage.
Book Synopsis Mobile Malware Attacks and Defense by : Ken Dunham
Download or read book Mobile Malware Attacks and Defense written by Ken Dunham and published by Syngress. This book was released on 2008-11-12 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 of Mobile Hoaxes and Threats Understand the history of major attacks and horizon for emerging threates. * Overview of Mobile Malware Families Identify and understand groups of mobile malicious code and their variations. * Taxonomy of Mobile Malware Bring order to known samples based on infection, distribution, and payload strategies. * Phishing, SMishing, and Vishing Attacks Detect and mitigate phone-based phishing (vishing) and SMS phishing (SMishing) techniques. * Operating System and Device Vulnerabilities Analyze unique OS security issues and examine offensive mobile device threats. * Analyze Mobile Malware Design a sandbox for dynamic software analysis and use MobileSandbox to analyze mobile malware. * Forensic Analysis of Mobile Malware Conduct forensic analysis of mobile devices and learn key differences in mobile forensics. * Debugging and Disassembling Mobile Malware Use IDA and other tools to reverse-engineer samples of malicious code for analysis. * Mobile Malware Mitigation Measures Qualify risk, understand threats to mobile assets, defend against attacks, and remediate incidents. Understand the History and Threat Landscape of Rapidly Emerging Mobile Attacks Analyze Mobile Device/Platform Vulnerabilities and Exploits Mitigate Current and Future Mobile Malware Threats
Book Synopsis Building a Practical Information Security Program by : Jason Andress
Download or read book Building a Practical Information Security Program written by Jason Andress and published by Syngress. This book was released on 2016-10-03 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: Building a Practical Information Security Program provides users with a strategic view on how to build an information security program that aligns with business objectives. The information provided enables both executive management and IT managers not only to validate existing security programs, but also to build new business-driven security programs. In addition, the subject matter supports aspiring security engineers to forge a career path to successfully manage a security program, thereby adding value and reducing risk to the business. Readers learn how to translate technical challenges into business requirements, understand when to "go big or go home," explore in-depth defense strategies, and review tactics on when to absorb risks. This book explains how to properly plan and implement an infosec program based on business strategy and results. Provides a roadmap on how to build a security program that will protect companies from intrusion Shows how to focus the security program on its essential mission and move past FUD (fear, uncertainty, and doubt) to provide business value Teaches how to build consensus with an effective business-focused program
Book Synopsis Mitigating Phishing Attacks by : Ebrima N. Ceesay
Download or read book Mitigating Phishing Attacks written by Ebrima N. Ceesay and published by . This book was released on 2008 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Advances in Neuro-Information Processing by : Mario Köppen
Download or read book Advances in Neuro-Information Processing written by Mario Köppen and published by Springer Science & Business Media. This book was released on 2009-07-10 with total page 1273 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volume set LNCS 5506 and LNCS 5507 constitutes the thoroughly refereed post-conference proceedings of the 15th International Conference on Neural Information Processing, ICONIP 2008, held in Auckland, New Zealand, in November 2008. The 260 revised full papers presented were carefully reviewed and selected from numerous ordinary paper submissions and 15 special organized sessions. 116 papers are published in the first volume and 112 in the second volume. The contributions deal with topics in the areas of data mining methods for cybersecurity, computational models and their applications to machine learning and pattern recognition, lifelong incremental learning for intelligent systems, application of intelligent methods in ecological informatics, pattern recognition from real-world information by svm and other sophisticated techniques, dynamics of neural networks, recent advances in brain-inspired technologies for robotics, neural information processing in cooperative multi-robot systems.
