A Lightweight Neural Classifier for Intrusion Detection
نویسندگان
چکیده
منابع مشابه
a lattice based nearest neighbor classifier for anomaly intrusion detection
as networking and communication technology becomes more widespread, thequantity and impact of system attackers have been increased rapidly. themethodology of intrusion detection (ids) is generally classified into two broadcategories according to the detection approaches: misuse detection and anomalydetection. in misuse detection approach, abnormal system behavior is defined atfirst, and then an...
متن کاملA 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 کاملSnort: Lightweight Intrusion Detection for Networks
Network intrusion detection systems (NIDS) are an important part of any network security architecture. They provide a layer of defense which monitors network traffic for predefined suspicious activity or patterns, and alert system administrators when potential hostile traffic is detected. Commercial NIDS have many differences, but Information Systems departments must face the commonalities that...
متن کاملLightweight agents for intrusion detection q
We have designed and implemented an intrusion detection system (IDS) prototype based on mobile agents. Our agents travel between monitored systems in a network of distributed systems, obtain information from data cleaning agents, classify and correlate information, and report the information to a user interface and database via mediators. Agent systems with lightweight agent support allow runti...
متن کاملLightweight Intrusion Detection for Networked Operating Systems
We describe a method for intrusion detection at the level of privileged processes. We present evidence that short sequences of system calls executed by running processes are a good discriminator between normal and abnormal operating characteristics of several common UNIX programs. Normal behavior is collected in two ways: Synthetically, by exercising as many normal modes of usage of a program a...
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: General Letters in Mathematics
سال: 2017
ISSN: 2519-9269,2519-9277
DOI: 10.31559/glm2016.2.2.4