Efficient Detection of Spam Messages Using OBF and CBF Blocking Techniques
Title | Efficient Detection of Spam Messages Using OBF and CBF Blocking Techniques |
Publication Type | Conference Paper |
Year of Publication | 2019 |
Authors | Lekha, J., Maheshwaran, J, Tharani, K, Ram, Prathap K, Surya, Murthy K, Manikandan, A |
Conference Name | 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) |
ISBN Number | 978-1-5386-9439-8 |
Keywords | CBF blocking techniques, Conferences, content based filter, Content based Filter (CBF), e-mail filters, emails, Human Behavior, human factors, Informatics, information filtering, Internet, k means clustering, mail message, Market research, Metrics, OBF, OBF blocking techniques, pattern clustering, Picture Based Shifting, porter stemer algorithm, Postal services, Poster Stemmer algorithm, pubcrawl, Scalability, Servers, spam block mail, spam detection, spam detection system, spam mail-sifting system, spam message, spamming changes, unsolicited e-mail, user attacks, Web applications |
Abstract | Emails are the fundamental unit of web applications. There is an exponential growth in sending and receiving emails online. However, spam mail has turned into an intense issue in email correspondence condition. There are number of substance based channel systems accessible to be specific content based filter(CBF), picture based sifting and many other systems to channel spam messages. The existing technological solution consists of a combination of porter stemer algorithm(PSA) and k means clustering which is adaptive in nature. These procedures are more expensive in regard of the calculation and system assets as they required the examination of entire spam message and calculation of the entire substance of the server. These are the channels must additionally not powerful in nature life on the grounds that the idea of spam block mail and spamming changes much of the time. We propose a starting point based spam mail-sifting system benefit, which works considering top head notcher data of the mail message paying little respect to the body substance of the mail. It streamlines the system and server execution by increasing the precision, recall and accuracy than the existing methods. To design an effective and efficient of autonomous and efficient spam detection system to improve network performance from unknown privileged user attacks. |
URL | https://ieeexplore.ieee.org/document/8862542 |
DOI | 10.1109/ICOEI.2019.8862542 |
Citation Key | lekha_efficient_2019 |
- spam detection
- Picture Based Shifting
- porter stemer algorithm
- Postal services
- Poster Stemmer algorithm
- pubcrawl
- Scalability
- Servers
- spam block mail
- pattern clustering
- spam detection system
- spam mail-sifting system
- spam message
- spamming changes
- unsolicited e-mail
- user attacks
- web applications
- information filtering
- Conferences
- content based filter
- Content based Filter (CBF)
- e-mail filters
- emails
- Human behavior
- Human Factors
- Informatics
- CBF blocking techniques
- internet
- k means clustering
- mail message
- Market research
- Metrics
- OBF
- OBF blocking techniques