Statistical Quality Control Approaches to Network Intrusion Detection
نویسندگان
چکیده
منابع مشابه
Statistical Quality Control Approaches to Network Intrusion Detection
In the study of network intrusion, much attention has been drawn to on-time detection of intrusion to safeguard public and private interest and to capture the law-breakers. Even though various methods have been found in literature, some situations warrant us to determine intrusions of network in real-time to prevent further undue harm to the computer network as and when they occur. This approac...
متن کاملEvolving statistical rulesets for network intrusion detection
Security threats against computer networks and the Internet have emerged as a major and increasing area of concern for end-users trying to protect their valuable information and resources from intrusive attacks. Due to the amount of data to be analysed and the similarities between attack and normal traffic patterns, intrusion detection is considered a complex real world problem. In this paper, ...
متن کاملBiologically-inspired Complex Adaptive Systems approaches to Network Intrusion Detection
The pervasiveness of the computing power has made it an inevitable commodity of the modern time. The inexorable technological advances clearly predict the continually increasing reliance of human life on the computing systems in the future. Intelligent portable devices are commonplace these days and information accessibility is ubiquitous. There is a network underlying any computer infrastructu...
متن کاملArtificial Neural Network Approaches to Intrusion Detection: A Review
Intrusion detection systems are the foremost tools for providing safety in computer and network system. There are many limitations in traditional IDSs like time consuming statistical analysis, regular updating, non adaptive, accuracy and flexibility. It is an Artificial Neural Network that supports an ideal specification of an Intrusion Detection System and is a solution to the problems of trad...
متن کاملSyntax vs. semantics: competing approaches to dynamic network intrusion detection
Malicious network traffic, including widespread worm activity, is a growing threat to Internet-connected networks and hosts. In this paper, we consider two competing approaches to dynamic network intrusion detection: syntax based and semantics based approaches. For the syntax driven approach, we propose two sliding window based schemes to generate potential worm signatures automatically. Since ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Network Security & Its Applications
سال: 2011
ISSN: 0975-2307
DOI: 10.5121/ijnsa.2011.3608