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Data Mining
Let's try this at home, kids!
Connected to:
Oracle Database 11g Enterprise Edition Release 11.1.0.6.0 - Production
With the Partitioning, OLAP, Data Mining and Real Application Testing options
SQL> create user FOOBAR identified by SHAlala;
User created.
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CISIS aims to offer a meeting opportunity for academic and
industry-related researchers belonging to the various, vast communities
of Computational Intelligence, Information Security, Data Mining, and
Biometry.
The need for intelligent, flexible behavior by large, complex systems,
especially in mission-critical domains, is intended to be the catalyst
and the aggregation stimulus for the overall event. CISIS´08 provides an
interesting opportunity to present and discuss the latest theoretical
* Implications of, and Technologies for, Lawful Surveillance
* Network Enabled Operations
* Biometrics, National ID Cards, Identity Theft
* Digital forensics
* PST and Web Services / SOA
* Information Filtering, Data Mining & Knowledge from Data
* Privacy, Traceability, and Anonymity
* National Security and Public Safety
* Trust and Reputation in Self-Organizing Environments
* Security Metrics
* Anonymity and Privacy vs. Accountability
* Implications of, and Technologies for, Lawful Surveillance
* Network Enabled Operations
* Biometrics, National ID Cards, Identity Theft
* Digital forensics
* PST and Web Services / SOA
* Information Filtering, Data Mining & Knowledge from Data
* Privacy, Traceability, and Anonymity
* National Security and Public Safety
* Trust and Reputation in Self-Organizing Environments
* Security Metrics
* Anonymity and Privacy vs. Accountability
- Tools for identification, authentication, integrity preservation
of digital evidence
- FLOSS tools for Analysis and Identification of Evidence
- Tools for the analysis and search of digital evidence
- Tools for cybercrime scenarios reconstruction, correlation and
data mining applied to digital forensics
- Tools for analysis of embedded or non-traditional devices such
as cellphones, cameras...
- FLOSS tools for analysis of cybercrime
- Data mining systems for cyber-crime strategy analysis and modeling
- Systems for data collection and monitoring of attack trends
* Defence Systems
Ubi/Cloud Computing:
* Authentication and Access Control for Data Protection in Ubi/Cloud
Computing
* Context-Awareness and its Data Mining for UbiCom
* Data Grids
* Distributed Information Systems
* Human-Computer Interface and Interaction for UbiCom
* Ubiquitous Systems
* USN/RFID Service
Crimes, Biometrics, Cyber Security
3. Ubi/Cloud Computing
Authentication and Access Control for Data Protection in Ubi/Cloud
Computing, Context-Awareness
and its Data Mining for UbiCom, Data Grids, Distributed Information
Systems, Human-Computer
Interface and Interaction for UbiCom, Ubiquitous Systems, USN/RFID
Service, Smart Homes and its
Business Model for UbiCom Service, Security and Data Management for
UbiCom, Peer to Peer Data
* Implications of, and Technologies for, Lawful Surveillance
* Network Enabled Operations
* Biometrics, National ID Cards, Identity Theft
* Digital forensics
* PST and Web Services / SOA
* Information Filtering, Data Mining & Knowledge from Data
* Privacy, Traceability, and Anonymity
* National Security and Public Safety
* Trust and Reputation in Self-Organizing Environments
* Security Metrics
* Anonymity and Privacy vs. Accountability
- Tools for identification, authentication, integrity preservation
of digital evidence
- FLOSS tools for Analysis and Identification of Evidence
- Tools for the analysis and search of digital evidence
- Tools for cybercrime scenarios reconstruction, correlation and
data mining applied to digital forensics
- Tools for analysis of embedded or non-traditional devices such
as cellphones, cameras...
- FLOSS tools for analysis of cybercrime
- Data mining systems for cyber-crime strategy analysis and modeling
- Systems for data collection and monitoring of attack trends
- Tools for identification, authentication, integrity preservation
of digital evidence
- FLOSS tools for Analysis and Identification of Evidence
- Tools for the analysis and search of digital evidence
- Tools for cybercrime scenarios reconstruction, correlation and
data mining applied to digital forensics
- Tools for analysis of embedded or non-traditional devices such
as cellphones, cameras...
- FLOSS tools for analysis of cybercrime
- Data mining systems for cyber-crime strategy analysis and modeling
- Systems for data collection and monitoring of attack trends
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Workshop on Data Mining for Fraud Detection Workshop (DMFD 2009)
https://sites.google.com/site/dmfd09/
This workshop focuses on data mining techniques that can be applied to
organizational data to reveal fraudulent activity. We seek to foster
a greater exchange between data mining researchers and fraud detection
SELECTED SPEAKERS:
Mark Ryan Talabis
\__Dangerous Minds: The Art of Guerilla Data Mining
Wendel Guglielmetti Henrique and Sandro Gauci
\__The Truth about Web Application Firewalls
Mark Stamford
- Crowd favorite Adam Laurie will return with a satellite-hacking
presentation that is sure to be popular.
- Database guru David Litchfield will present a powerful new database
forensics tool.
- Andrew Lindell's contribution is entitled "Making Privacy-Preserving data
Mining Practical with Smartcards."
- In the hardware hacking area we have a very interesting presentation from
Travis Goodspeed on reverse engineering and exploiting wireless sensors.
Our lineup of brand new training sessions includes a physical security
training by Zac Franken and Adam Laurie entitled "RFID, Access Control and
Http://www.inj3ct-it.org Staff[at]inj3ct-it[dot]org
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VigileCMS All Versions DataMining Remote Hash Disclosure
(Works only whit Checkspelling off)
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#By KiNgOfThEwOrLd
> However some of these issues can be mitigated without too much
> trouble. For example, one could have a dynamically growing
> dictionary of words to search for based on random words in random
> results pages that it grabs. At the very least, this would kill
> any attempts to filter it out of the data mining system.
That'd be a significantly different approach. Even grabbing data from
the previously browsed cache would also work, as far as seeding
dictionary goes.
- Paul Battista, Matt Fisher, New SQL Injection Tricks
- datagram, Live Memory Forensics
- Sachin Joglekar, Nick Kezhaya, Attacking VoIP to gain control of a laptop
- Sam Bowne, Teaching Hacking at College
- I)ruid, Context-keyed Payload Encoding
- asm, Social Data Mining Through Telephony Vulnerabilities
- Brenda Larcom, Privilege-Centric Security Analysis
- Zax, Using Type Systems to Reduce your Security Risks
- Billy Rios, Nathan McFeters, Rob Carter, URI Use and Abuse
- Tom Stracener, Hacking the EULA: Reverse Benchmarking Web Applications
- Vivek Ramachandran, Md Sohail Ahmad, Cafe Latte with a Free Topping
- Paul Battista, Matt Fisher, New SQL Injection Tricks
- datagram, Live Memory Forensics
- Sachin Joglekar, Nick Kezhaya, Attacking VoIP to gain control of a laptop
- Sam Bowne, Teaching Hacking at College
- I)ruid, Context-keyed Payload Encoding
- asm, Social Data Mining Through Telephony Vulnerabilities
- Brenda Larcom, Privilege-Centric Security Analysis
- Zax, Using Type Systems to Reduce your Security Risks
- Billy Rios, Nathan McFeters, Rob Carter, URI Use and Abuse
- Tom Stracener, Hacking the EULA: Reverse Benchmarking Web Applications
- Vivek Ramachandran, Md Sohail Ahmad, Cafe Latte with a Free Topping
• Trust and reputation in social networks
• Socially inspired network security architectures
• Socially aware network security protocols
• Security configuration based on social contexts groups (social-firewall, authentication protocols, etc.)
• Configuring security protocol parameters based on social information
• Privacy-preserving methods for data access and data mining.
Important Dates
• Paper Submission: 26 May 2012
• Authors Notification: 3 July 2012
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