Results 261 to 270 of about 5,821 (291)

Privacy-preserving network forensics

Communications of the ACM, 2011
Privacy-preserving attribution of IP packets can help balance forensics with an individual's right to privacy.
Mikhail Afanasyev, Tadayoshi Kohno, Justin Ma, Nick Murphy, Stefan Savage, Alex C. Snoeren, Geoffrey M. Voelker   +6 more
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Emerging trends in network forensics

Proceedings of the 2010 Conference of the Center for Advanced Studies on Collaborative Research - CASCON '10, 2010
As a reliance on the Internet and network services grows in every corner of the world, more and more vulnerability of networks are exploited for illegitimate purposes. The steady rise in cyber crimes, has required the law enforcement agencies to keep up with the latest technologies available to Internet-based criminals and to obtain tools that would ...
Shahram Heydari, Miguel Vargas Martin, Walid Rjaibi, Xiaodong Lin 0001   +3 more
openaire   +1 more source

Network Forensics

In the ever-expanding digital landscape, network security breaches pose a significant threat. Network forensics emerges as a vital weapon in the cybersecurity arsenal, enabling the investigation and analysis of network traffic to uncover evidence of malicious activity.
Akashdeep Bhardwaj, Pradeep Singh, Ajay Prasad   +2 more
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Network Forensics

2010
Network Forensics is a powerful sub-discipline of digital forensics. This chapter examines innovations in forensic network acquisition, and in particular in attribution of network sources behind network address translated gateways. A novel algorithm for automatically attributing traffic to different sources is presented and then demonstrated.
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Adversarial Network Forensics in Software Defined Networking

Proceedings of the Symposium on SDN Research, 2017
Software Defined Networking (SDN), and its popular implementation OpenFlow, represent the foundation for the design and implementation of modern networks. The essential part of an SDN-based network are flow rules that enable network elements to steer and control the traffic and deploy policy enforcement points with a fine granularity at any entry-point
Stefan Achleitner, Thomas La Porta, Trent Jaeger, Patrick D. McDaniel   +3 more
openaire   +1 more source

Network Forensics on Packet Fingerprints

2006
We present an approach to network forensics that makes it feasible to trace the content of all traffic that passed through the network via packet content fingerprints. We develop a new data structure called the “Rolling Bloom Filter” (RBF), which is based on a generalization of the Rabin-Karp string-matching algorithm.
Chia Yuan Cho, Sin Yeung Lee, Chung Pheng Tan, Yong Tai Tan   +3 more
openaire   +1 more source

A Framework for Network Forensic Analysis

2010
Network security approach addresses attacks from perspective of prevention, detection and mitigation. The alternative approach of network forensics involves investigation and prosecution which act as deterrence. Our paper presents a generic process model and reviews various implementations for network forensics.
Emmanuel S. Pilli, Ramesh C. Joshi, Rajdeep Niyogi   +2 more
openaire   +1 more source

Network Monitoring for Security and Forensics

2006
Networked environment has grown hostile over the years. In order to guarantee the security of networks and the resources attached to networks it is necessary to constantly monitor and analyze network traffic. Increasing network bandwidth, however, prohibits the recording and analysis of raw network traffic.
Kulesh Shanmugasundaram, Nasir D. Memon
openaire   +1 more source

Network Forensics on Mobile Ad-Hoc Networks

2008
A variety of countermeasures for every eventuality are more important than maintaining a mechanism that does not suffer any kind of assaults in mobile adhoc networks. From the experimental results, the ratio of the number of evidence packets and the total number of nodes was confirmed with the ratios of the transmission range and the objective range ...
Akira Otaka, Tsuyoshi Takagi, Osamu Takahashi   +2 more
openaire   +1 more source

Neural Networks in Forensic Science

Journal of Forensic Sciences, 1992
Abstract Neural networks were developed to study and mimic the functioning of the human brain. Humans are good at pattern recognition; the question is how good neural networks are at it, particularly with problems of forensic science interest.
openaire   +2 more sources