Intrusion Detection System Based on Artificial Immune System for Wireless Sensor Network
نویسندگان
چکیده
منابع مشابه
A Lightweight Intrusion Detection System Based on Specifications to Improve Security in Wireless Sensor Networks
Due to the prevalence of Wireless Sensor Networks (WSNs) in the many mission-critical applications such as military areas, security has been considered as one of the essential parameters in Quality of Service (QoS), and Intrusion Detection System (IDS) is considered as a fundamental requirement for security in these networks. This paper presents a lightweight Intrusion Detection System to prote...
متن کاملIntrusion Detection System in Wireless Sensor Network
Security is a significant concern for many sensor network applications. Intrusion detection is one method of defending against attacks A Wireless Sensor Network consist of large group of Sensor nodes that, senses specified parameter(s) related to environment; processes data locally or in a distributed manner and route the processed information to the central Base station. The Base station analy...
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An artificial immune system (AIS) is a computer software system that mimics some parts of the behavior of the human immune system to protect computer networks from viruses and similar cyber attacks. Artificial immune system is a computer software system that mimics some parts of the behavior of the human immune system to protect computer networks from viruses and similar cyber attacks. The esse...
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One of the central challenges with computer security is determining the difference between normal and potentially harmful activity. For decades, developers have protected their systems using classical methods. However, the growth and complexity of computer systems or networks to protect require the development of automated and adaptive defensives tools. Promising solutions are emerging with bio...
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In this paper, we present an accurate and realtime PE-Miner framework that automatically extracts distinguishing features from portable executables (PE) to detect zero-day malware without any a priori knowledge about them. The distinguishing features are extracted using the structural information standardized by the Microsoft Windows operating system for executables, DLLs and object files. We f...
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ژورنال
عنوان ژورنال: The International Conference on Electrical Engineering
سال: 2008
ISSN: 2636-4441
DOI: 10.21608/iceeng.2008.34243