[go: up one dir, main page]

Naksomboon et al., 2010 - Google Patents

Considering behavior of sender in spam mail detection

Naksomboon et al., 2010

Document ID
4672459265418296483
Author
Naksomboon S
Charnsripinyo C
Wattanapongsakorn N
Publication year
Publication venue
INC2010: 6th International Conference on Networked Computing

External Links

Snippet

Recently, the number of spam mails is exponentially growing. It affects the costs of organizations and annoying the e-mail recipient. Spammers always try to find the way to avoid filtering out from the email system. At the same time, as an email recipient or network …
Continue reading at ieeexplore.ieee.org (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
    • 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
    • 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
    • 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
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063—Operations research or 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
    • H04L12/5855—Message switching systems, e.g. electronic mail systems with selective forwarding
    • 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
    • G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
    • 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
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • 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
    • H04L51/14—Arrangements for user-to-user messaging in packet-switching networks, e.g. e-mail or instant messages with selective forwarding

Similar Documents

Publication Publication Date Title
Renuka et al. Spam classification based on supervised learning using machine learning techniques
US7251640B2 (en) Method and system for measuring interest levels of digital messages
Wang Detecting spam bots in online social networking sites: a machine learning approach
US8224905B2 (en) Spam filtration utilizing sender activity data
Bhat et al. Classification of email using BeaKS: Behavior and keyword stemming
Chakraborty et al. Spam mail filtering technique using different decision tree classifiers through data mining approach-a comparative performance analysis
Liu et al. SDHM: A hybrid model for spammer detection in Weibo
Naksomboon et al. Considering behavior of sender in spam mail detection
Reddy et al. Classification of Spam Messages using Random Forest Algorithm
Mishra et al. Analysis of random forest and Naive Bayes for spam mail using feature selection catagorization
Hamsapriya et al. Email classification for spam detection using word stemming
Babalola et al. Statistical methods for generating synthetic email data sets
Roy et al. An efficient spam filtering techniques for email account
Raheja et al. Analysis of machine learning techniques for spam detection
du Toit et al. Filtering spam e-mail with generalized additive neural networks
Wu et al. New anti-spam filter based on data mining and analysis of email security
Manjusha et al. Spam mail classification using combined approach of bayesian and neural network
Zeng et al. Spammer detection on Weibo social network
Sharma et al. SHED: Spam Ham Email Dataset
Guo et al. Research on the comprehensive anti-spam filter
Pera et al. SpamED: A spam E‐mail detection approach based on phrase similarity
Takhmiri et al. Identifying valid email spam emails using decision tree
Meenakshi Spam Content Filtering in Online Social Networks
Katirai et al. Filtering junk e-mail
Angalaeswari et al. Spam Emails Filtering