[go: up one dir, main page]

Kim et al., 2019 - Google Patents

Scam detection assistant: Automated protection from scammers

Kim et al., 2019

View PDF
Document ID
16122099344987388107
Author
Kim M
Song C
Kim H
Park D
Kwon Y
Namkung E
Harris I
Carlsson M
Publication year
Publication venue
2019 first international conference on societal automation (SA)

External Links

Snippet

Scams, also known as social engineering attacks, are an extremely common and dangerous threat today. Scams typically result in financial loss by convincing a victim to perform an ill- advised action such as sending money, or convincing him to provide private information. In …
Continue reading at par.nsf.gov (PDF) (other versions)

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
    • H04L63/1441—Countermeasures against malicious traffic
    • H04L63/1483—Countermeasures against malicious traffic service impersonation, e.g. phishing, pharming or web spoofing
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
    • H04L63/1408—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
    • H04L63/1425—Traffic logging, e.g. anomaly detection
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
    • H04L63/1441—Countermeasures against malicious traffic
    • H04L63/145—Countermeasures against malicious traffic the attack involving the propagation of malware through the network, e.g. viruses, trojans or worms
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
    • H04L63/1408—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
    • H04L63/1416—Event detection, e.g. attack signature detection
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L51/00—Arrangements for user-to-user messaging in packet-switching networks, e.g. e-mail or instant messages
    • H04L51/12—Arrangements for user-to-user messaging in packet-switching networks, e.g. e-mail or instant messages with filtering and selective blocking capabilities
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00—Data switching networks
    • H04L12/54—Store-and-forward switching systems
    • H04L12/58—Message switching systems, e.g. electronic mail systems
    • H04L12/585—Message switching systems, e.g. electronic mail systems with filtering and selective blocking capabilities
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
    • H04L63/1433—Vulnerability analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/50—Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
    • G06F21/55—Detecting local intrusion or implementing counter-measures
    • G06F21/56—Computer malware detection or handling, e.g. anti-virus arrangements
    • G06F21/562—Static detection
    • G06F21/563—Static detection by source code analysis
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00—Data switching networks
    • H04L12/54—Store-and-forward switching systems
    • H04L12/58—Message switching systems, e.g. electronic mail systems
    • H04L12/5885—Message switching systems, e.g. electronic mail systems with provisions for tracking the progress of a message
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/02—Network architectures or network communication protocols for network security for separating internal from external traffic, e.g. firewalls
    • H04L63/0227—Filtering policies
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00—Data switching networks
    • H04L12/54—Store-and-forward switching systems
    • H04L12/58—Message switching systems, e.g. electronic mail systems
    • H04L12/5825—Message adaptation based on network or terminal capabilities

Similar Documents

Publication Publication Date Title
US11818164B2 (en) System and method for omnichannel social engineering attack avoidance
Thakur et al. Innovations of phishing defense: The mechanism, measurement and defense strategies
US10277590B2 (en) Cognitive intelligence based voice authentication
JP7466711B2 (en) System and method for using relationship structures for email classification - Patents.com
Bera et al. Towards a thematic dimensional framework of online fraud: An exploration of fraudulent email attack tactics and intentions
Bhakta et al. Semantic analysis of dialogs to detect social engineering attacks
Tsinganos et al. Towards an automated recognition system for chat-based social engineering attacks in enterprise environments
US10291629B2 (en) Cognitive detection of malicious documents
US11651080B2 (en) Sentiment analysis for securing computer code
Gogoi et al. Phishing and Fraudulent Email Detection through Transfer Learning using pretrained transformer models
CN118194131A (en) Information identification method, apparatus, device, storage medium, and program product
Kim et al. Scam detection assistant: Automated protection from scammers
Nguyen et al. Utilizing large language models with human feedback integration for generating dedicated warning for phishing emails
US20250307457A1 (en) Generative Artificial Intelligence Model Personally Identifiable Information Detection and Protection
Vorobeva et al. Detection of business email compromise attacks with writing style analysis
Canelón et al. Unstructured data for cybersecurity and internal control
Lopez et al. Social engineering detection using natural language processing and machine learning
Kim et al. Catch me, yes we can!-pwning social engineers using natural language processing techniques in real-time
EP4120625B1 (en) System, device and method for detecting social engineering attacks in digital communications
Tsikerdekis et al. Detecting online content deception
Park Text-based phishing detection using a simulation model
Ogala et al. Detecting Telecoms Fraud in a Cloud-Based Environment by Analyzing the Content of a Phone Conversation
El Karhani et al. Phishing and Smishing Detection Using Machine Learning
Alhindi et al. Preventing Data Loss by Harnessing Semantic Similarity and Relevance.
Abdeen et al. VeriActor: Dynamic Generation of Challenge-Response Questions for Enhanced Email Sender Verification