Network Security: A Decision and Game-Theoretic Approach by Tansu Alpcan

By Tansu Alpcan

Overlaying assault detection, malware reaction, set of rules and mechanism layout, privateness, and danger administration, this accomplished paintings applies distinctive quantitative types derived from determination, keep an eye on, and video game theories to figuring out assorted community protection difficulties. It offers the reader with a system-level theoretical realizing of community defense, and is key interpreting for researchers attracted to a quantitative method of key incentive and source allocation concerns within the box. It additionally presents practitioners with an analytical beginning that's invaluable for formalising decision-making methods in community defense.

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1. A detailed discussion of networks, and the underlying technologies and protocols would easily fill an entire book. There are already many good books which present the topic at various levels and depth. We refer to [171] as a classical one. 1. xx) Functional Relationship client-server, peer-to-peer, hybrid Access control intranet, virtual private network (VPN) The applications of and on networks are even more diverse than their types. The main goal of networks can be succinctly stated as “moving bits from here to there”.

While simple firewall variants use basic packet properties such as source/destination address and port number, more sophisticated ones investigate packet types and even content for filtering decisions. Firewalls can be implemented in software or on dedicated hardware. Intrusion detection and prevention systems (IDPSs) aim to detect and prevent attacks directed at networked systems. They consist of sensors which observe security events, a console to communicate with system admins, and a decision engine to generate alerts or take responsive actions.

The outcome of the game is captured by the NA × ND game matrices GA and GD for the attacker (row player) and defender (column player), respectively. The entries in the matrices GA and GD represent the costs for players which they minimize. e. when GA = −GD , the matrix G := GD = −GA is said to be the game matrix. In this convention, P A (attackers, row player) maximizes its payoff while P D (defender, column player) minimizes its cost based on the entries of the game matrix. g. a∗1 ∈ A A ). Deterministic Security Games 43 Define pA := [p1 .

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