This document discusses phishing attacks and countermeasures. It begins by defining phishing as a type of email fraud where perpetrators send seemingly legitimate emails to collect personal and financial information. It then describes how phishing works, outlining the typical stages: creating fake websites, sending phishing emails with links to these sites, and hoping victims provide sensitive data or get infected with malware when they click the links. Specific phishing scams like spear phishing, whaling, pharming, spoofing, and vishing are also explained. The document concludes by listing warning signs of phishing websites and attacks.
This document discusses phishing attacks and ways to counter them. It begins with an abstract that introduces the topic of email phishing and its growing security problems. The main body is divided into sections that: 1) explain how phishing attacks work and their typical stages, from creating spoofed websites to tricking victims into providing sensitive information; 2) describe different types of phishing scams like spear phishing, whaling, and pharming; 3) outline warning signs that an email may be a phishing attempt, such as coming from an unknown sender or having odd writing; and 4) suggest awareness and technical solutions to help prevent falling victim to phishing.
Study on Phishing Attacks and Antiphishing ToolsIRJET Journal
This document discusses phishing attacks and anti-phishing tools. It begins by defining phishing as fraudulent attempts to steal users' sensitive information by impersonating trustworthy entities. The document then outlines the common steps in phishing attacks, including planning, setup, attack, collection, fraud, and post-attack actions. It describes different types of phishing attacks and analyzes security issues. The document concludes by describing some popular anti-phishing tools, including Mail-Secure and the Netcraft security toolbar.
IRJET- Phishing and Anti-Phishing TechniquesIRJET Journal
This document discusses phishing attacks and anti-phishing techniques. It begins by defining phishing as a social engineering attack where attackers fool victims into entering sensitive information on fake websites. It then describes various types of phishing attacks, including spear phishing, whaling, and clone phishing. The document also outlines common phishing techniques used by attackers, such as impersonating legitimate websites and using pop-up windows. Finally, it mentions that anti-phishing techniques aim to detect and prevent phishing attacks by recognizing spoofed emails and fraudulent websites.
Research Paper on Spreading Awareness About Phishing Attack Is Effective In R...IRJET Journal
This document summarizes a research paper on assessing whether spreading awareness about phishing attacks is effective in reducing attacks. Key points:
1. Phishing attacks are increasing and allow criminals to deceive users and steal important data. Spreading phishing awareness through training may help reduce attacks by empowering users to identify phishing emails and avoid risks.
2. Phishing awareness training can help organizations meet regulatory compliance requirements and make employees the first line of defense against cyberattacks.
3. Studies show that most data breaches are caused by phishing and losses from business email compromise attacks are increasing, demonstrating the need to minimize phishing attacks through awareness training.
4. A survey found that while most people
Phishing Website Detection Using Machine LearningIRJET Journal
This document describes research into detecting phishing websites using machine learning. It discusses how phishing websites trick users into providing sensitive information by posing as legitimate websites. The researchers collected a dataset of real URLs labeled as legitimate or phishing and preprocessed the data. They then trained several machine learning models using URL-based features like length of hostname, use of URL shortening services, presence of @ symbols or IP addresses. The goal is to identify the most effective model for classifying URLs based on precision, false positive and false negative rates to help detect phishing websites in real-time.
Phishing Website Detection using Classification AlgorithmsIRJET Journal
This document discusses using machine learning algorithms to classify phishing websites. It begins with background on phishing and then discusses prior research applying algorithms like random forest, decision trees, SVM and KNN to detect phishing websites. The paper aims to address phishing website classification using various classifiers and ensemble learning approaches. It tests classifiers like random forest, decision tree, KNN, AdaBoost and GradientBoost on a phishing testing dataset and evaluates performance using metrics like accuracy, f1-score, precision and recall. The proposed approach achieves 97% accuracy in classifying phishing websites according to experimental results.
need help with a term paper 8 pages Write a term paper that discusse.pdfanjandavid
need help with a term paper 8 pages Write a term paper that discusses the risks of pharming and
phishing with respect to identity theft, including spam emails claiming to come from well-known
companies and financial institutions. Including in your paper a discussion of some of the current
techniques being deployed to reduce pharming and phishing, including how effective they are\".
Solution
Pharming:
Pharming (pronounced ‘farming’) is a form of online fraud which is similar to phishing as these
guyz rely upon the same bogus websites and theft of confidential information. However, where
phishing will forward the user to the website through ‘bait’ in the form of a phony email or link,
pharming re-directs victims to the bogus site even if the victim has typed the correct web
address. This is often applied to the websites of well known banks or e-commerce sites, which
considerably dreadful.
Phissing:
Phishing is a form of fraud in which the criminals will try to learn information such as login
credentials or account information by masquerading as a reputable entity or person in email, IM
or other communication channels.Phishing email messages, websites, and phone calls are
designed to steal money. Online frauds can do this by installing malicious software on your
computer. It is a type of an email that falsely claims to be a legitimate enterprise in an attempt to
scam the user into surrendering private information.
Difference between Phissing and Pharming:
Both Phissing and Pharming are entirely two different concepts that are applied to steal the
customer information online.
While pharming is still considered a subset of phishing, it refers to a specific type of phishing
using DNS hijacking or poisoning to forward the user\'s browser to fraudulent sites or servers.
Pharming was keep on increasing from 2005 but has decreased slightly this year due to increased
diligence of domain controls, and is therefore employed less than the phishing exploits
mentioned above.
Special Notes:
From February 2005 to August 2005, worldwide there was a large number of pharming attacks,
due to common misconfigurations of DNS servers that made them accept the poison. While we
still see a trickle of pharming attacks today, most DNS servers have improved their poisoning
defenses, thereby lowering the incident of attacks. Don\'tget fooled, though, they are still out
there and we have to be diligent. If you run a Windows-based DNS server, make sure you have
enabled the \"Secure Cache Against Pollution\" option in the configuration GUI (the default for
recent versions of Windows DNS server). Also, never use Windows DNS servers configured to
forward requests through BIND 4 or 8. Windows DNS servers acting as forwarders should
always go through BIND 9, which can cleanse potentially poisoned records.
Risk of Phissing:
We can come to some general conclusions on the business risks of phishing attacks based on this
year\'s rash of privacy breaches. Phishing attacks ended in per.
This document discusses phishing attacks and ways to counter them. It begins with an abstract that introduces the topic of email phishing and its growing security problems. The main body is divided into sections that: 1) explain how phishing attacks work and their typical stages, from creating spoofed websites to tricking victims into providing sensitive information; 2) describe different types of phishing scams like spear phishing, whaling, and pharming; 3) outline warning signs that an email may be a phishing attempt, such as coming from an unknown sender or having odd writing; and 4) suggest awareness and technical solutions to help prevent falling victim to phishing.
Study on Phishing Attacks and Antiphishing ToolsIRJET Journal
This document discusses phishing attacks and anti-phishing tools. It begins by defining phishing as fraudulent attempts to steal users' sensitive information by impersonating trustworthy entities. The document then outlines the common steps in phishing attacks, including planning, setup, attack, collection, fraud, and post-attack actions. It describes different types of phishing attacks and analyzes security issues. The document concludes by describing some popular anti-phishing tools, including Mail-Secure and the Netcraft security toolbar.
IRJET- Phishing and Anti-Phishing TechniquesIRJET Journal
This document discusses phishing attacks and anti-phishing techniques. It begins by defining phishing as a social engineering attack where attackers fool victims into entering sensitive information on fake websites. It then describes various types of phishing attacks, including spear phishing, whaling, and clone phishing. The document also outlines common phishing techniques used by attackers, such as impersonating legitimate websites and using pop-up windows. Finally, it mentions that anti-phishing techniques aim to detect and prevent phishing attacks by recognizing spoofed emails and fraudulent websites.
Research Paper on Spreading Awareness About Phishing Attack Is Effective In R...IRJET Journal
This document summarizes a research paper on assessing whether spreading awareness about phishing attacks is effective in reducing attacks. Key points:
1. Phishing attacks are increasing and allow criminals to deceive users and steal important data. Spreading phishing awareness through training may help reduce attacks by empowering users to identify phishing emails and avoid risks.
2. Phishing awareness training can help organizations meet regulatory compliance requirements and make employees the first line of defense against cyberattacks.
3. Studies show that most data breaches are caused by phishing and losses from business email compromise attacks are increasing, demonstrating the need to minimize phishing attacks through awareness training.
4. A survey found that while most people
Phishing Website Detection Using Machine LearningIRJET Journal
This document describes research into detecting phishing websites using machine learning. It discusses how phishing websites trick users into providing sensitive information by posing as legitimate websites. The researchers collected a dataset of real URLs labeled as legitimate or phishing and preprocessed the data. They then trained several machine learning models using URL-based features like length of hostname, use of URL shortening services, presence of @ symbols or IP addresses. The goal is to identify the most effective model for classifying URLs based on precision, false positive and false negative rates to help detect phishing websites in real-time.
Phishing Website Detection using Classification AlgorithmsIRJET Journal
This document discusses using machine learning algorithms to classify phishing websites. It begins with background on phishing and then discusses prior research applying algorithms like random forest, decision trees, SVM and KNN to detect phishing websites. The paper aims to address phishing website classification using various classifiers and ensemble learning approaches. It tests classifiers like random forest, decision tree, KNN, AdaBoost and GradientBoost on a phishing testing dataset and evaluates performance using metrics like accuracy, f1-score, precision and recall. The proposed approach achieves 97% accuracy in classifying phishing websites according to experimental results.
need help with a term paper 8 pages Write a term paper that discusse.pdfanjandavid
need help with a term paper 8 pages Write a term paper that discusses the risks of pharming and
phishing with respect to identity theft, including spam emails claiming to come from well-known
companies and financial institutions. Including in your paper a discussion of some of the current
techniques being deployed to reduce pharming and phishing, including how effective they are\".
Solution
Pharming:
Pharming (pronounced ‘farming’) is a form of online fraud which is similar to phishing as these
guyz rely upon the same bogus websites and theft of confidential information. However, where
phishing will forward the user to the website through ‘bait’ in the form of a phony email or link,
pharming re-directs victims to the bogus site even if the victim has typed the correct web
address. This is often applied to the websites of well known banks or e-commerce sites, which
considerably dreadful.
Phissing:
Phishing is a form of fraud in which the criminals will try to learn information such as login
credentials or account information by masquerading as a reputable entity or person in email, IM
or other communication channels.Phishing email messages, websites, and phone calls are
designed to steal money. Online frauds can do this by installing malicious software on your
computer. It is a type of an email that falsely claims to be a legitimate enterprise in an attempt to
scam the user into surrendering private information.
Difference between Phissing and Pharming:
Both Phissing and Pharming are entirely two different concepts that are applied to steal the
customer information online.
While pharming is still considered a subset of phishing, it refers to a specific type of phishing
using DNS hijacking or poisoning to forward the user\'s browser to fraudulent sites or servers.
Pharming was keep on increasing from 2005 but has decreased slightly this year due to increased
diligence of domain controls, and is therefore employed less than the phishing exploits
mentioned above.
Special Notes:
From February 2005 to August 2005, worldwide there was a large number of pharming attacks,
due to common misconfigurations of DNS servers that made them accept the poison. While we
still see a trickle of pharming attacks today, most DNS servers have improved their poisoning
defenses, thereby lowering the incident of attacks. Don\'tget fooled, though, they are still out
there and we have to be diligent. If you run a Windows-based DNS server, make sure you have
enabled the \"Secure Cache Against Pollution\" option in the configuration GUI (the default for
recent versions of Windows DNS server). Also, never use Windows DNS servers configured to
forward requests through BIND 4 or 8. Windows DNS servers acting as forwarders should
always go through BIND 9, which can cleanse potentially poisoned records.
Risk of Phissing:
We can come to some general conclusions on the business risks of phishing attacks based on this
year\'s rash of privacy breaches. Phishing attacks ended in per.
Mitigation of Cyber Threats through Identification of Phishing WebsitesIRJET Journal
This document summarizes research on identifying phishing websites. It discusses how phishing works to steal sensitive information like passwords through fake emails or websites. It also discusses different approaches to mitigate phishing threats, including technologies designed to protect against phishing and regulations. The document analyzes the limitations of existing phishing detection methods, such as not being able to handle large datasets or adapt to changing attack behaviors. It also summarizes related works on using features like PageRank and CSS to identify phishing sites, but these can be evaded if attackers change the elements used. Overall, the document reviews research on detecting phishing websites and the challenges in developing robust detection methods.
Improving Phishing URL Detection Using Fuzzy Association Miningtheijes
Phishing is the process to obtain sensitive information such as usernames, passwords, and credit card details by disguising as a trustworthy entity by the use of an electronic communication. Phishing attack continues to pose a solemn risk for web users and annoying threat within the field of electronic commerce. The Phishing detection using fuzzy and binary matrix construction method focuses on discerning the significant features that discriminate between legitimate and phishing URLs. The significant features are extracting the number of dots, length of the host etc., from each URL. These features are then subjected to associative rule mining-apriori and predictive apriori. The rules obtained are interpreted to emphasize the features that are more prevalent in phishing URLs. The key factors for the phished URLs are number of slashes in the URL, dot in the host portion of the URL and length of the URL. The pitfall of binary matrix method is the time complexity. So it impacts the overall speed of the system. The fuzzy based logic association rule mining algorithm was proposed to classify the legitimate and phishing URLs based on the features. The extracted features are converted to fuzzy membership values as “Low”,’ Medium’ and “High”. By applying association rule mining algorithm the rules are generated to detect the phishing URLs. The fuzzy based methodology provides efficient and high rate of phishing detection of URLs
IRJET- Detecting the Phishing Websites using Enhance Secure AlgorithmIRJET Journal
This document discusses detecting phishing websites using an enhanced secure algorithm. It begins by defining phishing attacks and how they are used to steal personal information from users. It then discusses how current techniques are not fully effective at stopping sophisticated phishing attacks. The proposed methodology checks for features of phishing websites, especially in URLs and domain names, to identify fake websites. Some features checked include IP addresses, long URLs, prefixes/suffixes, and symbols. Future work could involve updating datasets, detecting other attacks, and improving accuracy and efficiency. In conclusion, education is important to help users identify phishing attacks, as technical solutions are still limited.
The document discusses email phishing attacks and strategies to prevent them. It defines the attack surface as all possible entry points for unauthorized access, such as vulnerabilities, devices, and network nodes. Phishing works by tricking users into clicking links or entering login credentials on fake websites that look like legitimate ones. The document recommends educating users about phishing, punishing attackers legally, detecting and blocking phishing websites, and using technical methods like spam filters to stop phishing emails. It prioritizes improving remote access policies, separating personal and work data, frequently updating security systems, strong passwords, multi-factor authentication, and security training for employees.
This document summarizes a research paper that proposes a phishing detector plugin called PHISCAN that uses machine learning to detect phishing websites. The plugin is developed for the Chrome browser using JavaScript and HTML. It extracts features from URLs to train classifiers like random forest that can accurately classify URLs as phishing or benign in less than a second while maintaining user privacy. The paper conducts a literature review of existing phishing detection systems and techniques using blacklists, heuristics, or machine learning. It motivates the need for the proposed plugin by discussing the increasing prevalence and sophistication of phishing attacks.
Info Session on Cybersecurity & Cybersecurity Study JamsGDSCCVR
In an era where digital threats are ever-evolving, understanding the fundamentals of cybersecurity is crucial.
Highlights of the Event:
💡 Google Cybersecurity Certification Scholarship.
🎭 Cloning and Phishing Demystified
🚨 Unravelling the Depths of Database Breaches
🛡️ Digital safety 101
🧼 Self-Check for Cyber Hygiene
⏺️ Event Details:
Date: 18th December 2023
Time: 6:00 PM to 7:00 PM
Venue: Online
IRJET - Chrome Extension for Detecting Phishing WebsitesIRJET Journal
This document describes a Chrome browser extension that was developed to detect phishing websites using machine learning. The extension extracts features from URLs and classifies them as legitimate or phishing using a Random Forest classifier trained on a dataset of URLs. A user interface was designed for the extension using HTML, CSS and JavaScript. When a user visits a website, the extension automatically extracts 16 features from the URL and page content and inputs them into the Random Forest model to determine if the site is phishing or legitimate. The model was trained on a dataset of over 11,000 URLs labeled as phishing or legitimate. Evaluation of the model showed it achieved high accuracy in detecting phishing URLs. The goal of the extension is to help protect users from revealing
Intelligent Phishing Website Detection and Prevention System by Using Link Gu...IOSR Journals
The document discusses an intelligent phishing website detection and prevention system that uses a Link Guard algorithm. It analyzes the characteristics of hyperlinks used in phishing attacks, such as the visual link and actual link not matching, use of IP addresses instead of domain names, and use of encoded or similar-looking domain names. The document then proposes the Link Guard algorithm, which is implemented in Windows XP. Experiments show Link Guard can effectively detect 195 out of 203 known phishing attacks with minimal false negatives, using only the generic characteristics of phishing hyperlinks rather than signatures of specific attacks.
CERT STRATEGY TO DEAL WITH PHISHING ATTACKScsandit
Every day, internet thieves employ new ways to obtain personal identity people and get access
to their personal information. Phishing is a somehow complex method that has recently been
considered by internet thieves. First, the present study aims to explain phishing, and why an
organization should deal with it and its challenges of providing. In addition, different kinds of
this attack and classification of security approaches for organizational and lay users are
addressed in this article. Finally, the CERT strategy – which relies on three principles of
informing, supporting and helping- is presented to deal with phishing and studying some antiphishing.
IRJET-Content based approach for Detection of Phishing SitesIRJET Journal
Anjali Gupta, Juili Joshi, Khyati Thakker, Chitra bhole "Content based approach for Detection of Phishing Sites", International Research Journal of Engineering and Technology (IRJET), Volume2,issue-01 April 2015.e-ISSN:2395-0056, p-ISSN:2395-0072. www.irjet.net
Abstract
Phishing is a significant problem involving fraudulent email and web sites that trick unsuspecting users into revealing private information. In this paper, we present the design, implementation, and evaluation of content-based approach to detecting phishing web sites. We also discuss the design and evaluation of several heuristics we developed to reduce false positives. Our experiments show that CANTINA is good at detecting phishing sites, correctly labeling approximately 95% of phishing sites.We are going to implement Revelation of Masquerade Attacks: A Content-Based Approach to Detecting Phishing Web Sites using PHP & MYSQL.Our system will crawl the original site of bank and it will retrieve all URL’s, location of bank’s server and whois information. If user get any email with phishing attack link. Then our system will take that url as input and crawl the link, retrieve all url’s and system will compare these url’s with original banks url database, try to find url’s are similar or not. Then system will find location of Phishing link URL and compare location with original banks location. After that system will find out Whois information of URL.System will analyze the information and show the results to the user.
Why is cyber security a disruption in the digital economyMark Albala
As we enter the digital economy, companies will quickly realize that the differentiator in the digital economy is information and information being a valuable resource is subject to theft, hacking, phishing and a host of other issues which compromise a company’s ability to participate in the digital economy. Cybersecurity misfires compromise the trust of buyers and partners necessary to participate in the digital economy. It is up to every company to ensure that the information shared with them is protected to the best of their ability and proactively notify persons and organizations who entrust their information necessary to transact business (any personal identity information including but not limited to addresses, credit card information, social security numbers, account information, credit information, medical records, etc.) with any potential compromises which can yield harm to them by that information either being used maliciously or shared with others.
The digital economy is different than other versions of commerce because in the digital economy, information is the lifeblood of digital commerce that passes through the hands of many platforms involved in a digital event. Each of these platforms are an opportunity to wreak havoc on your well-intended but incomplete intents to protect the information contained within the network you control. In the digital economy, it is not only the network you control, but the platforms that touch the personal data entrusted to you as a means of enabling digital commerce, and several techniques have begun to emerge to protect personal information contained within your information domain and the domain of platforms participating in digital commerce.
Because the life blood of the digital economy is information, information hacked in the digital economy is akin to shrinkage in the legacy economy. Both are means to directly attack your bottom line, whether it is redirecting customers elsewhere because they don’t trust your privacy program, ransomware which makes your site or one of your partner platform sites dangerous to use or some other reason which challenges your ability to participate in the digital economy. Shrinking the potential market share because of information safety and security challenges is a disruption, making cyber-security a disruptive activity, particularly if it is not dealt with swiftly.
If your cyber-security program is focused entirely on protecting the information housed in your four walls, you have exposed yourself to problems you will have difficulty in identifying both the source and the entry point of these issues.
Phishing attack, with SSL Encryption and HTTPS WorkingSachin Saini
This presentation contains Introduction of Phishing attack, its types and Various techniques, their impact with real live example, after that its Avoidance, Prevention and Solution. Also it contains brief introduction of SSL and HTTPS with their working.
HOST PROTECTION USING PROCESS WHITE-LISTING, DECEPTION AND REPUTATION SERVICESAM Publications,India
The Internet or World Wide Web has become prominent platform for business and commerce and is witnessing user growth with increased penetration of mobile Internet. Huge traffic is being generated, some of it being legitimate and the rest being malicious. Hence the implementation and maintenance of Information Security programs is been done .In the age of the Internet, protecting our information has become just as important as protecting our property. Malware authors have found and exploited new zero-day vulnerabilities resulting in damage to end-user system. Ransomware, a malware that has taken malware attacks to a new level by locking files of the affected user and demand Bitcoin payment to unlock those files. On the other hand the Volume and frequency of Distributed Denial of Service (DDoS) attacks have increased. Many unpatched machines without the knowledge of its owners have become a part of Botnets which carry out DDoS attacks. This paper focuses on strategies to be adopted to protect individual hosts from malware attacks and other types of intrusions using Deception, White-Listing and Reputation Services.
Web phish detection (an evolutionary approach)eSAT Journals
Abstract Phishing is nothing but one of the kinds of network crimes. This paper presents an efficient approach for detecting phishing web documents based on learning from a large number of phishing webs. Phishing means to make something fraud with someone, usually by using internet with the help of emails, to take our personal information, such as credentials. The finest way to protect ourselves and our credentials from phishing attack is to understand the concept of phishing as well as to understand that how to determine a phishing attack. Most of the phishing emails are sent from well-reputed organizations and they ask for your credentials such as credit card number, account number, social security number and passwords of bank account. Mostly the phishing attacks seen from the websites, services and organizations with which we do not even have an account. In this system we are using two classifiers to detect phishing. To recognize the phishing, the Uniform Resource Locator (URL) features of the website are firstly analyzed and then they are classified by using K-means classifier. If the answer is still suspicious then by using parsing of the webpage, its DOM tree is drawn and then the second classifier that is Naive Bayesian (NB) classifier classifies the web page. Key Words: phishing, phishing emails, classifier
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Updated Cyber Security and Fraud Prevention Tools TacticsBen Graybar
Nine people have been sentenced for their involvement in a $2.6 million income tax refund fraud scheme. The scheme involved using stolen identities to file fraudulent tax returns and collect refunds. Over 700,000 IRS files were breached, putting many people at risk of identity theft. Cybersecurity experts warn that cyberattacks now affect nearly every company, but many are not taking a proactive approach to prevention. Internal access controls are also challenging due to the rise of mobile devices and remote access.
The document discusses various cybersecurity attack vectors and how to protect an organization. It outlines common attack methods used by cyber criminals such as ransomware, malicious code delivery, social engineering, and phishing. It then recommends steps organizations can take including performing regular security audits and assessments, establishing governance policies, creating an incident response plan, and providing security education to employees. The document promotes cybersecurity services from Future Point of View including internal and external assessments, vulnerability testing subscriptions, and forensic analysis and education.
The document discusses various cybersecurity attack vectors and how organizations can protect themselves. It outlines common attack methods like ransomware, malicious code delivery, social engineering, and phishing. It then recommends that organizations conduct regular security audits, establish governance policies, create an incident response plan, and provide cybersecurity education to employees. The document promotes cybersecurity services from Future Point of View including vulnerability testing, forensics, and training to help organizations enhance their protections.
Phishing is basically the type of cybercrime in which attackers imitates a real person through institution and mimics that they are sending message from an authorized organization and then take the details of the user personal identity, credit card details and any type of bank information and will breach the personal details of the user. There are many free tools to help in web based scams. Basically the free anti phishing toolbars in the below given study were examined many example in which Spoof Guard anti phishing toolbar is sufficient and good at identifying fraudulent sites and can also gave false positive results. Earth Link, Google, Net Craft, Cloud Mark and Internet Explorer seven detected many of the fraudulent or fake sites even more than 15 of fraudulent sites are false positive. Trust Watch, eBay and Netscape correctly found the fraudulent websites and by the combination of the toolbars the expected outcome came out. Dr. Lalit Pratap | Mr. Shubham Sangwan | Monika "E-Mail Phishing Prevention and Detection" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-3 , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49541.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/49541/email-phishing-prevention-and-detection/dr-lalit-pratap
IRJET- Cyber Attacks and its different TypesIRJET Journal
This document discusses different types of cyber attacks. It begins by providing context on how technology has increased connectivity but also vulnerabilities. The main types of cyber attacks discussed include:
1) Denial-of-service (DoS) and distributed denial-of-service (DDoS) attacks which overload systems to disrupt service.
2) Man-in-the-middle (MitM) attacks where a third party intercepts communications between two others.
3) Phishing attacks which use fraudulent emails or websites to steal personal or credential information from users.
4) Drive-by download attacks where visiting an infected website automatically downloads malware without user interaction.
Countermeasures to these attacks include firewall
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
Mitigation of Cyber Threats through Identification of Phishing WebsitesIRJET Journal
This document summarizes research on identifying phishing websites. It discusses how phishing works to steal sensitive information like passwords through fake emails or websites. It also discusses different approaches to mitigate phishing threats, including technologies designed to protect against phishing and regulations. The document analyzes the limitations of existing phishing detection methods, such as not being able to handle large datasets or adapt to changing attack behaviors. It also summarizes related works on using features like PageRank and CSS to identify phishing sites, but these can be evaded if attackers change the elements used. Overall, the document reviews research on detecting phishing websites and the challenges in developing robust detection methods.
Improving Phishing URL Detection Using Fuzzy Association Miningtheijes
Phishing is the process to obtain sensitive information such as usernames, passwords, and credit card details by disguising as a trustworthy entity by the use of an electronic communication. Phishing attack continues to pose a solemn risk for web users and annoying threat within the field of electronic commerce. The Phishing detection using fuzzy and binary matrix construction method focuses on discerning the significant features that discriminate between legitimate and phishing URLs. The significant features are extracting the number of dots, length of the host etc., from each URL. These features are then subjected to associative rule mining-apriori and predictive apriori. The rules obtained are interpreted to emphasize the features that are more prevalent in phishing URLs. The key factors for the phished URLs are number of slashes in the URL, dot in the host portion of the URL and length of the URL. The pitfall of binary matrix method is the time complexity. So it impacts the overall speed of the system. The fuzzy based logic association rule mining algorithm was proposed to classify the legitimate and phishing URLs based on the features. The extracted features are converted to fuzzy membership values as “Low”,’ Medium’ and “High”. By applying association rule mining algorithm the rules are generated to detect the phishing URLs. The fuzzy based methodology provides efficient and high rate of phishing detection of URLs
IRJET- Detecting the Phishing Websites using Enhance Secure AlgorithmIRJET Journal
This document discusses detecting phishing websites using an enhanced secure algorithm. It begins by defining phishing attacks and how they are used to steal personal information from users. It then discusses how current techniques are not fully effective at stopping sophisticated phishing attacks. The proposed methodology checks for features of phishing websites, especially in URLs and domain names, to identify fake websites. Some features checked include IP addresses, long URLs, prefixes/suffixes, and symbols. Future work could involve updating datasets, detecting other attacks, and improving accuracy and efficiency. In conclusion, education is important to help users identify phishing attacks, as technical solutions are still limited.
The document discusses email phishing attacks and strategies to prevent them. It defines the attack surface as all possible entry points for unauthorized access, such as vulnerabilities, devices, and network nodes. Phishing works by tricking users into clicking links or entering login credentials on fake websites that look like legitimate ones. The document recommends educating users about phishing, punishing attackers legally, detecting and blocking phishing websites, and using technical methods like spam filters to stop phishing emails. It prioritizes improving remote access policies, separating personal and work data, frequently updating security systems, strong passwords, multi-factor authentication, and security training for employees.
This document summarizes a research paper that proposes a phishing detector plugin called PHISCAN that uses machine learning to detect phishing websites. The plugin is developed for the Chrome browser using JavaScript and HTML. It extracts features from URLs to train classifiers like random forest that can accurately classify URLs as phishing or benign in less than a second while maintaining user privacy. The paper conducts a literature review of existing phishing detection systems and techniques using blacklists, heuristics, or machine learning. It motivates the need for the proposed plugin by discussing the increasing prevalence and sophistication of phishing attacks.
Info Session on Cybersecurity & Cybersecurity Study JamsGDSCCVR
In an era where digital threats are ever-evolving, understanding the fundamentals of cybersecurity is crucial.
Highlights of the Event:
💡 Google Cybersecurity Certification Scholarship.
🎭 Cloning and Phishing Demystified
🚨 Unravelling the Depths of Database Breaches
🛡️ Digital safety 101
🧼 Self-Check for Cyber Hygiene
⏺️ Event Details:
Date: 18th December 2023
Time: 6:00 PM to 7:00 PM
Venue: Online
IRJET - Chrome Extension for Detecting Phishing WebsitesIRJET Journal
This document describes a Chrome browser extension that was developed to detect phishing websites using machine learning. The extension extracts features from URLs and classifies them as legitimate or phishing using a Random Forest classifier trained on a dataset of URLs. A user interface was designed for the extension using HTML, CSS and JavaScript. When a user visits a website, the extension automatically extracts 16 features from the URL and page content and inputs them into the Random Forest model to determine if the site is phishing or legitimate. The model was trained on a dataset of over 11,000 URLs labeled as phishing or legitimate. Evaluation of the model showed it achieved high accuracy in detecting phishing URLs. The goal of the extension is to help protect users from revealing
Intelligent Phishing Website Detection and Prevention System by Using Link Gu...IOSR Journals
The document discusses an intelligent phishing website detection and prevention system that uses a Link Guard algorithm. It analyzes the characteristics of hyperlinks used in phishing attacks, such as the visual link and actual link not matching, use of IP addresses instead of domain names, and use of encoded or similar-looking domain names. The document then proposes the Link Guard algorithm, which is implemented in Windows XP. Experiments show Link Guard can effectively detect 195 out of 203 known phishing attacks with minimal false negatives, using only the generic characteristics of phishing hyperlinks rather than signatures of specific attacks.
CERT STRATEGY TO DEAL WITH PHISHING ATTACKScsandit
Every day, internet thieves employ new ways to obtain personal identity people and get access
to their personal information. Phishing is a somehow complex method that has recently been
considered by internet thieves. First, the present study aims to explain phishing, and why an
organization should deal with it and its challenges of providing. In addition, different kinds of
this attack and classification of security approaches for organizational and lay users are
addressed in this article. Finally, the CERT strategy – which relies on three principles of
informing, supporting and helping- is presented to deal with phishing and studying some antiphishing.
IRJET-Content based approach for Detection of Phishing SitesIRJET Journal
Anjali Gupta, Juili Joshi, Khyati Thakker, Chitra bhole "Content based approach for Detection of Phishing Sites", International Research Journal of Engineering and Technology (IRJET), Volume2,issue-01 April 2015.e-ISSN:2395-0056, p-ISSN:2395-0072. www.irjet.net
Abstract
Phishing is a significant problem involving fraudulent email and web sites that trick unsuspecting users into revealing private information. In this paper, we present the design, implementation, and evaluation of content-based approach to detecting phishing web sites. We also discuss the design and evaluation of several heuristics we developed to reduce false positives. Our experiments show that CANTINA is good at detecting phishing sites, correctly labeling approximately 95% of phishing sites.We are going to implement Revelation of Masquerade Attacks: A Content-Based Approach to Detecting Phishing Web Sites using PHP & MYSQL.Our system will crawl the original site of bank and it will retrieve all URL’s, location of bank’s server and whois information. If user get any email with phishing attack link. Then our system will take that url as input and crawl the link, retrieve all url’s and system will compare these url’s with original banks url database, try to find url’s are similar or not. Then system will find location of Phishing link URL and compare location with original banks location. After that system will find out Whois information of URL.System will analyze the information and show the results to the user.
Why is cyber security a disruption in the digital economyMark Albala
As we enter the digital economy, companies will quickly realize that the differentiator in the digital economy is information and information being a valuable resource is subject to theft, hacking, phishing and a host of other issues which compromise a company’s ability to participate in the digital economy. Cybersecurity misfires compromise the trust of buyers and partners necessary to participate in the digital economy. It is up to every company to ensure that the information shared with them is protected to the best of their ability and proactively notify persons and organizations who entrust their information necessary to transact business (any personal identity information including but not limited to addresses, credit card information, social security numbers, account information, credit information, medical records, etc.) with any potential compromises which can yield harm to them by that information either being used maliciously or shared with others.
The digital economy is different than other versions of commerce because in the digital economy, information is the lifeblood of digital commerce that passes through the hands of many platforms involved in a digital event. Each of these platforms are an opportunity to wreak havoc on your well-intended but incomplete intents to protect the information contained within the network you control. In the digital economy, it is not only the network you control, but the platforms that touch the personal data entrusted to you as a means of enabling digital commerce, and several techniques have begun to emerge to protect personal information contained within your information domain and the domain of platforms participating in digital commerce.
Because the life blood of the digital economy is information, information hacked in the digital economy is akin to shrinkage in the legacy economy. Both are means to directly attack your bottom line, whether it is redirecting customers elsewhere because they don’t trust your privacy program, ransomware which makes your site or one of your partner platform sites dangerous to use or some other reason which challenges your ability to participate in the digital economy. Shrinking the potential market share because of information safety and security challenges is a disruption, making cyber-security a disruptive activity, particularly if it is not dealt with swiftly.
If your cyber-security program is focused entirely on protecting the information housed in your four walls, you have exposed yourself to problems you will have difficulty in identifying both the source and the entry point of these issues.
Phishing attack, with SSL Encryption and HTTPS WorkingSachin Saini
This presentation contains Introduction of Phishing attack, its types and Various techniques, their impact with real live example, after that its Avoidance, Prevention and Solution. Also it contains brief introduction of SSL and HTTPS with their working.
HOST PROTECTION USING PROCESS WHITE-LISTING, DECEPTION AND REPUTATION SERVICESAM Publications,India
The Internet or World Wide Web has become prominent platform for business and commerce and is witnessing user growth with increased penetration of mobile Internet. Huge traffic is being generated, some of it being legitimate and the rest being malicious. Hence the implementation and maintenance of Information Security programs is been done .In the age of the Internet, protecting our information has become just as important as protecting our property. Malware authors have found and exploited new zero-day vulnerabilities resulting in damage to end-user system. Ransomware, a malware that has taken malware attacks to a new level by locking files of the affected user and demand Bitcoin payment to unlock those files. On the other hand the Volume and frequency of Distributed Denial of Service (DDoS) attacks have increased. Many unpatched machines without the knowledge of its owners have become a part of Botnets which carry out DDoS attacks. This paper focuses on strategies to be adopted to protect individual hosts from malware attacks and other types of intrusions using Deception, White-Listing and Reputation Services.
Web phish detection (an evolutionary approach)eSAT Journals
Abstract Phishing is nothing but one of the kinds of network crimes. This paper presents an efficient approach for detecting phishing web documents based on learning from a large number of phishing webs. Phishing means to make something fraud with someone, usually by using internet with the help of emails, to take our personal information, such as credentials. The finest way to protect ourselves and our credentials from phishing attack is to understand the concept of phishing as well as to understand that how to determine a phishing attack. Most of the phishing emails are sent from well-reputed organizations and they ask for your credentials such as credit card number, account number, social security number and passwords of bank account. Mostly the phishing attacks seen from the websites, services and organizations with which we do not even have an account. In this system we are using two classifiers to detect phishing. To recognize the phishing, the Uniform Resource Locator (URL) features of the website are firstly analyzed and then they are classified by using K-means classifier. If the answer is still suspicious then by using parsing of the webpage, its DOM tree is drawn and then the second classifier that is Naive Bayesian (NB) classifier classifies the web page. Key Words: phishing, phishing emails, classifier
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Updated Cyber Security and Fraud Prevention Tools TacticsBen Graybar
Nine people have been sentenced for their involvement in a $2.6 million income tax refund fraud scheme. The scheme involved using stolen identities to file fraudulent tax returns and collect refunds. Over 700,000 IRS files were breached, putting many people at risk of identity theft. Cybersecurity experts warn that cyberattacks now affect nearly every company, but many are not taking a proactive approach to prevention. Internal access controls are also challenging due to the rise of mobile devices and remote access.
The document discusses various cybersecurity attack vectors and how to protect an organization. It outlines common attack methods used by cyber criminals such as ransomware, malicious code delivery, social engineering, and phishing. It then recommends steps organizations can take including performing regular security audits and assessments, establishing governance policies, creating an incident response plan, and providing security education to employees. The document promotes cybersecurity services from Future Point of View including internal and external assessments, vulnerability testing subscriptions, and forensic analysis and education.
The document discusses various cybersecurity attack vectors and how organizations can protect themselves. It outlines common attack methods like ransomware, malicious code delivery, social engineering, and phishing. It then recommends that organizations conduct regular security audits, establish governance policies, create an incident response plan, and provide cybersecurity education to employees. The document promotes cybersecurity services from Future Point of View including vulnerability testing, forensics, and training to help organizations enhance their protections.
Phishing is basically the type of cybercrime in which attackers imitates a real person through institution and mimics that they are sending message from an authorized organization and then take the details of the user personal identity, credit card details and any type of bank information and will breach the personal details of the user. There are many free tools to help in web based scams. Basically the free anti phishing toolbars in the below given study were examined many example in which Spoof Guard anti phishing toolbar is sufficient and good at identifying fraudulent sites and can also gave false positive results. Earth Link, Google, Net Craft, Cloud Mark and Internet Explorer seven detected many of the fraudulent or fake sites even more than 15 of fraudulent sites are false positive. Trust Watch, eBay and Netscape correctly found the fraudulent websites and by the combination of the toolbars the expected outcome came out. Dr. Lalit Pratap | Mr. Shubham Sangwan | Monika "E-Mail Phishing Prevention and Detection" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-3 , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49541.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/49541/email-phishing-prevention-and-detection/dr-lalit-pratap
IRJET- Cyber Attacks and its different TypesIRJET Journal
This document discusses different types of cyber attacks. It begins by providing context on how technology has increased connectivity but also vulnerabilities. The main types of cyber attacks discussed include:
1) Denial-of-service (DoS) and distributed denial-of-service (DDoS) attacks which overload systems to disrupt service.
2) Man-in-the-middle (MitM) attacks where a third party intercepts communications between two others.
3) Phishing attacks which use fraudulent emails or websites to steal personal or credential information from users.
4) Drive-by download attacks where visiting an infected website automatically downloads malware without user interaction.
Countermeasures to these attacks include firewall
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This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
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The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
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