Race condition attacks occur when a process performs a sequence of operations on a file, under the assu.m,ption that the operations are being executed "ato~mically". This can be exploited by a malicious process which changes the characteristics of that file between two successive operations on i t by a victi,m process, thus, inducing the victi,m process to operate on a ,modified or diflerent file. I n this paper we present a practical approach t o detect and prevent such race condition attacks. We ,monitor file operations and enforce policies which prevent the exploitation of the temporal window between any consecutive file operations by a process. Our approach does not rely on knowledge of previously known attacks. I n addition, our experiments on Linux de,monstrated that attacks can be detected with false alarms of less than 3% with performance overheads less than 8% of the processes execution tisme.

With the increasing number of computers on the Internet, there is a growing interest in harnessing the unused and inexpensive computational resources over the Internet. However, current approaches such as the Grid computing paradigm are not sufficient. We present our preliminary work that uses extends Peer-2-Peer (P2P) computing with a framework that allows Grid computing over the internet.

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