[go: up one dir, main page]

Oda, 2005 - Google Patents

A spam-detecting artificial immune system

Oda, 2005

View PDF
Document ID
11306160147684062304
Author
Oda T
Publication year

External Links

Snippet

A bstract Electronic junk mail, colloquially known as spam, has increasingly become a part of life for users of email. Although people dislike the constant barrage, it is difficult to design an anti-spam solution that can adapt appropriately to the constantly changing messages …
Continue reading at carleton.scholaris.ca (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
    • G06Q10/107—Computer aided management of electronic mail
    • 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
    • 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
    • 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
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • 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
    • 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
    • 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
    • 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
    • H04L51/28—Details regarding addressing issues
    • 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
    • H04L63/12—Applying verification of the received information
    • H04L63/126—Applying verification of the received information the source of the received data
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce, e.g. shopping or e-commerce

Similar Documents

Publication Publication Date Title
Das et al. SoK: a comprehensive reexamination of phishing research from the security perspective
Bhowmick et al. Machine learning for e-mail spam filtering: review, techniques and trends
Carpinter et al. Tightening the net: A review of current and next generation spam filtering tools
KR100992220B1 (en) Spam detection method and system using challenge
Zdziarski Ending spam: Bayesian content filtering and the art of statistical language classification
US8776210B2 (en) Statistical message classifier
Blanzieri et al. A survey of learning-based techniques of email spam filtering
WO2006026263A2 (en) Controlling transmission of email
Pelletier et al. Adaptive filtering of spam
Oda et al. Increasing the accuracy of a spam-detecting artificial immune system
Leiba et al. A Multifaceted Approach to Spam Reduction.
Thomason Blog Spam: A Review.
Mittal et al. Phishing detection using natural language processing and machine learning
Oda A spam-detecting artificial immune system
Chhabra Fighting spam, phishing and email fraud
SINGH A DETALED DTUDY ON EMAIL SPAM FILTERING TECHNIQUES
Bhadane et al. STATE OF RESEARCH ON PHISHING AND RECENT TRENDS OF ATTACKS.
Amin Detecting targeted malicious email through supervised classification of persistent threat and recipient oriented features
Arutyunov Spam: Its past, present, and future
Saxena et al. Spamizer: An approach to handle web form spam
Pera et al. SpamED: A spam E‐mail detection approach based on phrase similarity
Gallo A Machine and Human Learning Approach for Phishing Defense.
Delany Using case-based reasoning for spam filtering
Krishnudu INTELLIGENT CLASSIFICATION OF EMAIL MODELS ON DATA MIGRATION METHODS FOR SPAM FILTERING
Chohan Implementing Natural Language Processing Techniques for the Detection of Stegospam Files Generated Using a Probabilistic Context-Free Grammar