RESTful Web Services for High Speed Intrusion Detection Systems

2013 ◽  
Author(s):  
Mohsen Rouached ◽  
Hassen Sallay
Keyword(s):  
Web Services ◽  
Intrusion Detection ◽  
High Speed ◽  
Intrusion Detection Systems ◽  
Detection Systems ◽  
Restful Web Services

Intrusion Detection Systems Alerts Reduction

2018 ◽  
pp. 255-275 ◽  
Author(s):  
Aymen Akremi ◽  
Hassen Sallay ◽  
Mohsen Rouached
Keyword(s):  
Intrusion Detection ◽  
High Speed ◽  
Detection System ◽  
Search Space ◽  
Relevant Information ◽  
Intrusion Detection Systems ◽  
Detection Accuracy ◽  
Detection Systems ◽  
Rules Set ◽  
Intrusion Alerts

Investigators search usually for any kind of events related directly to an investigation case to both limit the search space and propose new hypotheses about the suspect. Intrusion detection system (IDS) provide relevant information to the forensics experts since it detects the attacks and gathers automatically several pertinent features of the network in the attack moment. Thus, IDS should be very effective in term of detection accuracy of new unknown attacks signatures, and without generating huge number of false alerts in high speed networks. This tradeoff between keeping high detection accuracy without generating false alerts is today a big challenge. As an effort to deal with false alerts generation, the authors propose new intrusion alert classifier, named Alert Miner (AM), to classify efficiently in near real-time the intrusion alerts in HSN. AM uses an outlier detection technique based on an adaptive deduced association rules set to classify the alerts automatically and without human assistance.

scholarly journals XML document-grammar comparison: related problems and applications

2011 ◽  
Vol 1 (1) ◽  
Author(s):  
Joe Tekli ◽  
Richard Chbeir ◽  
Agma Traina ◽  
Caetano Traina
Keyword(s):  
Web Services ◽  
Intrusion Detection ◽  
Data Sources ◽  
Intrusion Detection Systems ◽  
Research Issue ◽  
Detection Systems ◽  
Xml Documents ◽  
Xml Document ◽  
Xml Querying ◽  
The Web

AbstractXML document comparison is becoming an ever more popular research issue due to the increasingly abundant use of XML. Likewise, a growing interest fosters the development of XML grammar matching and comparison, due to the proliferation of heterogeneous XML data sources, particularly on the Web. Nonetheless, the process of comparing XML documents with XML grammars, i.e., XML document and grammar similarity evaluation, has not yet received the attention it deserves. In this paper, we provide an overview on existing research related to XML document/grammar comparison, presenting the background and discussing the various techniques related to the problem. We also discuss some prominent application domains, ranging over document classification and clustering, document transformation, grammar evolution, selective dissemination of XML information, XML querying, as well as alert filtering in intrusion detection systems and Web Services matching and communications.

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