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On the Design and Execution of Cyber-Security User Studies: Methodology, Challenges, and Lessons Learned

On the Design and Execution of Cyber-Security User Studies: Methodology, Challenges, and Lessons Learned

...collection poses an important challenge in the security field. Insider and masquerader attack data collection poses even a greater challenge. Very few organizations acknowledge such... Read more

21 June, 2011
Performance Analysis of Aodv Protocol Under Black Hole Attack

Performance Analysis of Aodv Protocol Under Black Hole Attack

...data packets do not reach the destination node on account of this attack, data loss will occur. In this paper, doing simulation study of network... Read more

1 August, 2011
Practical Real-Time Intrusion Detection Using Machine Learning Approaches

Practical Real-Time Intrusion Detection Using Machine Learning Approaches

...Decision Tree technique to classify on-line network data as normal or attack data Read more

13 July, 2011
Data Collection and Analysis for Masquerade Attack Detection: Challenges and Lessons Learned

Data Collection and Analysis for Masquerade Attack Detection: Challenges and Lessons Learned

...collection poses an important challenge in the security field. Insider and masquerader attack data collection poses even a greater challenge. Very few organizations acknowledge such... Read more

30 January, 2011
Toward a Query Language for Network <endeca_term>Attack Data</endeca_term>

Toward a Query Language for Network Attack Data

...describe the efforts to develop a database and query language for network attack data from firewalls, intrusion detection systems and honeynets. The first step toward... Read more

19 January, 2006
The Phish Market Protocol: Securely Sharing <endeca_term>Attack Data</endeca_term> Between Competitors

The Phish Market Protocol: Securely Sharing Attack Data Between Competitors

A key way in which banks mitigate the effects of phishing is to remove fraudulent websites or suspend abusive domain... Read more

14 November, 2009

Businesses overlooking biggest security risks

...being patched (actual data from thousands of companies)." The report sources includes attack data from 6,000 organisations, compiled by security hardware vendor TippingPoint, vulnerability... Read more

15 September, 2009 by Manek Dubash
Photos: Symantec leaves its security bunker

Photos: Symantec leaves its security bunker

...security platform allows it to mine security data and correlate vulnerability and attack data, the company says Read more

21 June, 2007 by Tom Espiner

Vista plays hide-and-seek with hackers

...computer code called a buffer overrun or buffer overflow. In such an attack, data is stored beyond the boundaries of a buffer, with the result... Read more

2 June, 2006 by Joris Evers
WebApp.secure SE 3

WebApp.secure SE 3

...time e-mail & network alerts as attacks occur. It can even post attack data to another Web server to integrate with your existing security infrastructure... Read more

18 November, 2005

Telecoms giants team up to fight hackers

...provide the technology used by the group's members to share emerging attack data. By helping the communications giants rapidly distribute information on hackers, the... Read more

29 March, 2005 by Matt Hines

Buffer overflow flaw found in open source MP3 player

...take over the computer. However, it can be difficult to craft that attack data. Nonetheless, Secunia has given the vulnerability a "highly critical" rating because... Read more

12 January, 2005 by Dawn Kawamoto

Virus Alert: Magistr threat played down by experts

Computer users were warned on Wednesday that a new virus could attack data on their hard drives, although antivirus experts believe that it is... Read more

14 March, 2001 by Graeme Wearden

DDoS attacks - one year later

Still no strong defences deployed against DDoS attacks Read more

7 February, 2001 by Robert Lemos
Approaches and Data Processing Techniques for Intrusion Detection Systems

Approaches and Data Processing Techniques for Intrusion Detection Systems

...defines the attack behavior and classifies all events matching these specifications as attack. Data processing techniques for intrusion detection systems are also presented Read more

1 December, 2009

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