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  1. Proceedings of the ACM SIGKDD Workshop on CyberSecurity and Intelligence Informatics (CSI-KDD '09)
  2. A study of online service and information exposure of public companies
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AntiPhish: lessons learnt
Combining incremental Hidden Markov Model and Adaboost algorithm for anomaly intrusion detection
Data security and integrity: developments and directions
Towards trusted intelligence information sharing
Addressing the attack attribution problem using knowledge discovery and multi-criteria fuzzy decision-making
Social networks integration and privacy preservation using subgraph generalization
Malware detection using statistical analysis of byte-level file content
Design of a temporal geosocial semantic web for military stabilization and reconstruction operations
Online phishing classification using adversarial data mining and signaling games
On the efficacy of data mining for security applications
A study of online service and information exposure of public companies

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A study of online service and information exposure of public companies

Content Provider ACM Digital Library
Author Yeung, Jason C. K. Kwok, S. H. Lai, Anthony C. T.
Abstract It is believed that public companies should have put lots of efforts and resources in designing and implementing effective security policy in their daily information processing and management against potential cyber attacks. A company web server accessible by the general public and attackers is usually a common entry point for cyber attacks. This paper studies and reports the security problems in web servers of public companies. We applied several commonly used tools and systems to collect information from publicly accessible web servers of selected public companies, and studied some known security aspects in those public companies. Our findings will provide an insight to the effectiveness of web servers in public companies against cyber attacks. This paper also proposes a risk analysis tool for cyber attacks, which is known as pyramid risk analysis tool.
Starting Page 85
Ending Page 90
Page Count 6
File Format PDF
ISBN 9781605586694
DOI 10.1145/1599272.1599287
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2009-06-28
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Public server Malicious hackers Public company Ports Cyber security Web server
Content Type Text
Resource Type Article
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