Titlebook: Advances in Digital Forensics; IFIP International C Mark Pollitt,Sujeet Shenoi Conference proceedings 2005 IFIP International Federation fo

農(nóng)學(xué)

https://doi.org/10.1007/978-1-4842-2125-9ely on security policies and employee training, which fail because the root of the problem, people, are still involved. Our solution relies on computer systems to analyze phone conversations in real time and determine if the caller is deceiving the receiver. The technologies employed in the proposed

BADGE

https://doi.org/10.1007/978-1-4842-2125-9ing threats and viruses. Due to the complexity of the task, it is often difficult for investigators to manually analyze email-related evidence. Automated techniques for email analysis can significantly enhance computer crime investigations. This paper proposes a framework for email investigations th

Interdict

轎車

Bumptious

馬籠頭

BRIDE

The Empirical Interpolation Method, identify attacks on the systems and provide a forensically accurate description of the chain of events related to the unauthorized activity. This paper proposes a peer-to-peer (P2P) framework for network monitoring and forensics. Host-based security tools can be used to identify malicious events. T

不可救藥

https://doi.org/10.1007/978-3-642-51735-8ck of efficient attribution mechanisms. This paper proposes a forensic profiling system that accommodates real-time evidence collection as a network feature to address the difficulties involved in collecting evidence against attackers.

未成熟

Environmental and Resource Economicsg information can be introduced into the Internet, which can cause the total collapse of packet forwarding and lead to denial-of-service or misdirected traffic. While it may be impossible to prevent such an attack, we seek to provide the routing infrastructure with a mechanism for identifying false

MAZE

Certification and Tropical Timber Supplyne calls and calling patterns, which may be used in criminal investigations. However, much of this data is not maintained by service providers and is, therefore, unavailable to law enforcement agencies. This paper presents techniques for collecting and storing important data pertaining to phone call