.png){kind=icon}
Return
Spam filtering framework for multimodal mobile communication based on dendritic cell algorithm
.png){kind=icon}
PRE
AI
DOI：10.1016/j.future.2016.02.018.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
With the continual growth of mobile devices, they become a universal portable platform for effective business and personal communication. They enable a plethora of textual communication modes including electronic mails, instant messaging, and short messaging services. A downside of such great technology is the alarming rate of spam messages that are not only annoying to end-users but raises security concerns as well. This paper presents an intelligent framework for filtering multimodal textual communication including emails and short messages. We explore a novel methodology for information fusion inspired by the human immune system and hybrid approaches of machines learning. We study a number of methods to extract and select more relevant features to reduce the complexity of the proposed model to suite mobile applications while preserving good performance. The proposed framework is intensively evaluated on a number of benchmark datasets with remarkable results achieved. (C) 2016 Elsevier B.V. All rights reserved.
Keywords:
Mobile spam filtering
Feature analysis
Hybrid machine learning
Information fusion
Immune system
Dendritic cell algorithm
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
F
IF:
6.1
Papers:
6.9K
Citations:
2.3W
Organization
No organization information available
Cited Papers
.png){kind=icon}
ShareSaveShareSaveM Pathway and Areas 44 and 45 Are Involved in Stereoscopic Recognition Based on Binocular Disparity.
OAAI
OAAIShareSaveShareSave
View more