Malicious logic, specifically worms cost network users an enormous amount of time and money. Worms, like Slammer and Code Red, infect thousands of systems and denied whole networks access to the Internet. This research examines the ability of the original Slammer worm, a Slammer based routing worm

and containing worm infections before they can cause such damage.

-term health monitoring of wild chimpanzees from Kibale National Park in Western Uganda, we analysed 311 samples of faeces. Coproscopy revealed that high-ranking males are more infected than other individuals. These chimpanzees are also the more frequent cropraiders. Results from PCR assays conducted on larvae

On behalf of:

Abstract: Malicious software or Malware is the software developed with malicious intentions. Hackers use it for spoiling computer programs or to get access to sensitive information. The detection of such malware can be done by writing program which can understand the dynamics of malware. Towards this end this paper presents an analytical model which can effectively characterize the true nature of malware and how it spreads in P2P networks such as Gnutella. The proposed model is compartmental model which involves derivation of network conditions and system parameters in such a way that under those parameters and conditions the underlying P2P network reaches a malware free equilibrium. The proposed model can also perform evaluation of strategies such as quarantine used to control malware spread. Afterwards the model has been enhanced and tested with networks of smart cell phones. The empirical results revealed that the proposed model is effective and useful. Index Terms: Malware, peer-to-peer networks, compartmental model, Bit Torrent and Time to Live (TTL).

Abstract not found

We tested the hypothesis that maternal worm infections in pregnancy affect infant motor and neurocognitive development, and that anthelminthic treatment during pregnancy can reverse these effects. We used measures which examine infant motor, cognitive and executive function, including inhibition

. We propose Vigilante, a new end-to-end architecture to contain worms automatically that addresses these limitations. In Vigilante, hosts detect worms by instrumenting vulnerable programs to analyze infection attempts. We introduce dynamic data-flow analysis: a broad-coverage host-based algorithm

It is widely believed that content-signature-based intrusion detection systems (IDSes) are easily evaded by polymorphic worms, which vary their payload on every infection attempt. In this paper, we present Polygraph, a signature generation system that successfully produces signatures that match

protects against gastrointestinal worm infection