and data forwarding be safeguarded. The discussed here Secure Routing Protocol (SRP) [1] counters malicious behavior that targets the discovery of topological informa- tion. The protection of the data transmission is a separate problem: an intermittently misbehaving attacker could first comply

Peer-to-peer file-sharing networks are currently receiving much attention as a means of sharing and distributing information. However, as recent experience with P2P networks such as Gnutella shows, the anonymous, open nature of these networks offers an almost ideal environment for the spread

malware that takes complete control of the victim’s platform, and are, therefore, called “drive-by downloads. ” Unfortunately, the dynamic nature of the JavaScript language and its tight integration with the browser make it difficult to detect and block malicious JavaScript code. This paper presents a

that this problem lends itself naturally to modern algorithms for online learning. Online algorithms not only process large numbers of URLs more efficiently than batch algorithms, they also adapt more quickly to new features in the continuously evolving distribution of malicious URLs. We develop a real-time system

Gossip (epidemic) protocols are attractive for achieving information dissemination in distributed systems due to their simplicity, scalability and natural fault tolerance. In this paper, we present a gossip algorithm for propagating information in the presence of malicious parties.

of Cloud services in facilitating malicious activities. Finally, we discuss how the nature of the Cloud may shape future security monitoring and enhance defenses against such practices. I.

This paper looks at a number of issues relating to the malicious insider and the nature of motivation, loyalty and the type of attacks that occur. The paper also examines the changing environmental, social, cultural and business issues that have resulted in an increased exposure to the insider

We consider two issues in polynomial-time exact learning of concepts using membership and equivalence queries: (1) errors in the answers to membership queries and (2) learning finite variants of concepts drawn from a learnable class. To study (1), we introduce a malicious membership query, in which

Abstract. We study the impact of malicious synchronization on computer systems that serve customers periodically. Systems supporting automatic periodic updates are common in web servers providing regular news update, sports scores or stock quotes. Our study focuses on the possibility of launching

A Mobile Ad hoc Network (MANET) is a collection of mobile nodes and is autonomous having communication through the insecure wireless links. The nodes in the network dynamically add and join the network. Due to this kind of nature nodes are vulnerable to various kinds of attacks. There are many