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Computational Intelligence in Security for Information Systems CISIS'09, 2nd International Workshop Burgos, Spain, September 2009 Proceedings

:	Paolo Gastaldo, Rodolfo Zunino, Emilio Corchado
:	Computational Intelligence in Security for Information Systems CISIS'09, 2nd International Workshop Burgos, Spain, September 2009 Proceedings
:	Springer-Verlag
:	9783642040917
:	Advances in Intelligent and Soft Computing
:	1
:	CHF 132.70
:

:	Allgemeines, Lexika
:	English

:	216
:	Wasserzeichen/DRM
:	PC/MAC/eReader/Tablet
:	PDF

The Second International Workshop on Computational Intelligence for Security in Information Systems (CISIS'09) presented the most recent developments in the - namically expanding realm of several fields such as Data Mining and Intelligence, Infrastructure Protection, Network Security, Biometry and Industrial Perspectives. The International Workshop on Computational Intelligence for Security in Infor- tion Systems (CISIS) proposes a forum to the different communities related to the field of intelligent systems for security. The global purpose of CISIS conferences has been to form a broad and interdisciplinary meeting ground offering the opportunity to interact with the leading industries actively involved in the critical area of security, and have a picture of the current solutions adopted in practical domains. This volume of Advances in Intelligent and Soft Computing contains accepted - rd th pers presented at CISIS'09, which was held in Burgos, Spain, on September 23 -26 , 2009. After a through peer-review process, the International Program Committee selected 25 papers which are published in this workshop proceedings. This allowed the Scientific Committee to verify the vital and crucial nature of the topics involved in the event, and resulted in an acceptance rate close to 50% of the originally submitted manuscripts.

	Title Page	2
	Preface	6
	Organization	7
	Table of Contents	12
	Data Mining and Intelligence	15
	A Data Mining Based Analysis of Nmap Operating System Fingerprint Database	15
	Introduction	15
	OS Fingerprinting and Nmap	16
	Self-organizing Maps	17
	Growing Neural Gas	18
	K-Means	19
	Applications	20
	Conclusions	21
	References	22
	Knowledge System for Application of Computer Security Rules	23
	Introduction	23
	Models for L	25
	Validity of the Formulas in the Knowledge System	30
	Conclusions	30
	References	30
	Clustering of Windows Security Events by Means of Frequent Pattern Mining	32
	Introduction	32
	Related Work	33
	Analysis of Windows Security Event Logs	34
	Clustering Event Sources	35
	Learning the Application Domain	35
	Feature Selection	36
	Application of Clustering Techniques	36
	Conclusions and Ongoing Challenges	39
	References	39
	Text Clustering for Digital Forensics Analysis	41
	Introduction	41
	Textual Data Extraction	42
	Text Clustering	43
	Knowledge Base Representation	43
	Clustering Framework	43
	Forensic Analysis on Enron Dataset	45
	References	48
	Infrastructure Protection	49
	A Preliminary Study on SVM Based Analysis of Underwater Magnetic Signals for Port Protection	49
	Introduction	49
	The MACmag Magnetic Subsystem	50
	Support Vector Machines for Classification	52
	Experimental Results	53
	Conclusions	55
	References	56
	Fuzzy Rule Based Intelligent Security and Fire Detector System	57
	Introduction	57
	Mechanism of Fire Occurred	58
	Design of Intelligent Multi-sensor Fire Detector	58
	Work Principle of Temperature Sensor	58
	Hardware Design of the Fire Detector	59
	Software Design of the Fire Detector	60
	Experiments and Results	61
	Conclusions	62
	References	63
	A Scaled Test Bench for Vanets with RFID Signalling	64
	Introduction	64
	Signalling Using RFID	65
	Behavioural Model	66
	Scaled Vehicle Architecture	67
	System Board (Main Board)	68
	Sensor Processing Board (Coprocessor Board)	69
	Conclusions	69
	References	70
	A SVM-Based Behavior Monitoring Algorithm towards Detection of Un-desired Events in Critical Infrastructures	71
	Introduction	71
	The Proposed Algorithm Design	72
	Experimental Results and Concluding Remarks	75
	References	77
	Network Security	79
	Design and Implementation of High Performance Viterbi Decoder for Mobile Communication Data Security	79
	Introduction	79
	An Overview	79
	Viterbi Decoding Algorithm	80
	Our Design	81
	Branch Selection Unit	82
	Trace-Back Unit	83
	Experimental Approach	84
	Conclusion	86
	References	86
	An Adaptive Multi-agent Solution to Detect DoS Attack in SOAP Messages	87
	Introduction	87
	DoS Attacks Description	88
	An Agent Based Architecture	89
	Results and Conclusions	92
	References	93
	A Self-learning Anomaly-BasedWeb Application Firewall	95
	Introduction	95
	SystemOverview	96
	Architecture	96
	Normal Behavior Description	97
	Detection Process	98
	Experiments	99
	Case Study:Web Shopping	99
	XML File Generation	99
	Artificial Traffic Generation	99
	Training Phase	100
	Test Phase	100
	Results	100
	Limitations and Future Work	101
	Conclusions	102
	References	102
	An Investigation of Multi-objective Genetic Algorithms for Encrypted Traffic Identification	103
	Introduction	103
	Previous Work	104
	Methodology	104
	Results	107
	Conclusions	109
	References	110
	A Multi-objective Optimisation Approach to IDS Sensor Placement	111
	Introduction	111
	Related Work	112
	Experimental Setup and Evaluation	113
	Network Simulation	113
	Fitness Measurement	114
	Sensor Placement Representation	115
	Parameters for the Search	115
	Experiment Results	116
	Conclusions and Further Work	117
	References	118
	Towards Ontology-Based Intelligent Model for Intrusion Detection and Prevention	119
	Introduction	119
	Previous Work	120
	Ontology and Semantic Model	120
	Classifier and Pattern Recognition Model	122
	Conclusions and Future Work	125
	References	125
	Ontology-Based Policy Transl