By Vipin Kumar, Jaideep Srivastava, Aleksandar Lazarevic
Sleek society relies severely on pcs that keep an eye on and deal with the platforms on which we rely in lots of facets of our day-by-day lives. whereas this gives conveniences of a degree unbelievable quite a few years in the past, it additionally leaves us susceptible to assaults at the desktops handling those platforms. lately the explosion in cyber assaults, together with viruses, worms, and intrusions, has grew to become this vulnerability right into a transparent and visual possibility. as a result of the escalating quantity and elevated sophistication of cyber assaults, it has turn into vital to enhance a huge variety of strategies, which may make sure that the knowledge infrastructure keeps to function easily, even within the presence of dire and non-stop threats.This booklet brings jointly the most recent strategies for handling cyber threats, constructed by means of many of the world's best specialists within the sector. The ebook comprises huge surveys on a few issues, in addition to particular options. It offers an outstanding reference element for researchers and practitioners within the executive, educational, and business groups who are looking to comprehend the problems and demanding situations during this quarter of transforming into around the globe significance.
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Additional info for Managing cyber threats: issues, approaches, and challenges
In this chapter, we categorize computer attacks into the following classes: - Denial of Service (DoS) attaclcs. These attacks attempt to ''shut down a network, computer, or process; or otherwise deny the use of resources or services to authorized users''' . There are two types of DoS attacks: (i) operating system attacks, which target bugs in specific operating systems and can be fixed with patches; and (ii) networking attacks, which exploit inherent limitations of networking protocols and infrastructures.
In intrusion detection, simple performance measure such as prediction accuracy is not adequate. g. 1%) of the entire network traffic, and a trivial IDS that labels all network traffic as normal, can achieve 99% accuracy. In order to have good 32 Chapter 2 prediction performance, an IDS needs to satisfy two criteria: (i) it must be able to correctly identify intrusions and (ii) it must not identify legitimate action in a system environment as an intrusion. Typical measures for evaluating predictive performance of IDSs include detection rate and false alarm rate (Table 1).
Ford, M. Collins. Design and Implementation of a Database Inference Controller. Journal on Data and Knowledge Engineering, December 1993. Managing Threats to Web Databases and Cyber Systems      17 B. Thuraisingham, W. Ford. Security Constraint Processing in a Multilevel Distributed Database Management System. IEEE Transactions on Knowledge and Data Engineering, April 1995. B. Thuraisingham. Data Mining: Technologies, Techniques, Tools and Trends, CRC Press, FL, 1998. B. Thuraisingham.
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