International Workshop on Traffic Measurements for Cybersecurity
摘要截稿:
全文截稿: 2019-01-07
开会时间: 2019-05-23
会议难度:
CCF分类: 无
会议地点: San Francisco, CA, USA
Overview
Current communication networks are increasingly becoming pervasive, complex, and ever-evolving due to factors like enormous growth in the number of network users, continuous appearance of network applications, increasing amount of data transferred, and diversity of user behaviors. Understanding and measuring traffic in such networks is a difficult yet vital task for network management but recently also for cybersecurity purposes. Network traffic measuring and monitoring can, for example, enable the analysis of the spreading of malicious software and its capabilities or can help to understand the nature of various network threats including those that exploit users’ behavior and other user’s sensitive information. On the other hand network traffic investigation can also help to assess the effectiveness of the existing countermeasures or contribute to building new, better ones. Recently, traffic measurements have been utilized in the area of economics of cybersecurity e.g. to assess ISP “badness” or to estimate the revenue of cyber criminals.
The aim of this workshop is to bring together the research accomplishments provided by the researchers from academia and the industry. The other goal is to show the latest research results in the field of cybersecurity and understand how traffic measurements can influence it. We encourage prospective authors to submit related distinguished research papers on the subject of both: theoretical approaches and practical case reviews. This workshop presents some of the most relevant ongoing research in cybersecurity seen from the traffic measurements perspective.
The workshop will be accessible to both non-experts interested in learning about this area and experts interesting in hearing about new research and approaches.
Topics of interest include, but are not limited to:
Measurements for network incidents response, investigation and evidence handling
Measurements of cyber attacks (e.g. DDoS, botnet, malware and phishing campaigns)
Measurements for security of web-based applications and services (e.g., social networking)
Measurements for network anomalies detection
Measurements for economics of cybersecurity and privacy
Measurements of security and privacy for the Internet of Things
Network traffic analysis to discover the nature and evolution of the cybersecurity threats
Measurements for assessing the effectiveness of the threats detection/prevention methods and countermeasures
Novel passive, active and hybrid measurements techniques for cybersecurity purposes
Traffic classification and topology discovery tools for monitoring the evolving status of the network from the cybersecurity perspective
Correlation of measurements across multiple layers, protocols or networks for cybersecurity purposes
Machine learning and data mining for analysis of network traffic measurements for cybersecurity
Novel approaches for large-scale measurements for cybersecurity (e.g. crowd-sourcing)
Novel visualization approaches to detect network attacks and other threats
Analysis of network traffic to provide new insights about network structure and behavior from the security perspective
Measurements of network protocol and applications behavior and its impact on cybersecurity and users' privacy
Vulnerability notifications
Measurements for new cybersecurity settings
Ethical issues in measurements for cybersecurity
Reappraisal of previous empirical findings