Download Intrusion Detection Networks: A Key to Collaborative by Carol Fung PDF
By Carol Fung
The speedily expanding sophistication of cyber intrusions makes them approximately most unlikely to become aware of with no using a collaborative intrusion detection community (IDN). utilizing overlay networks that let an intrusion detection approach (IDS) to switch details, IDNs can dramatically increase your total intrusion detection accuracy.
Intrusion Detection Networks: A Key to Collaborative Security makes a speciality of the layout of IDNs and explains tips to leverage potent and effective collaboration among player IDSs. supplying a whole advent to IDSs and IDNs, it explains the advantages of development IDNs, identifies the demanding situations underlying their layout, and descriptions attainable strategies to those difficulties. It additionally stories the full-range of proposed IDN solutions—analyzing their scope, topology, strengths, weaknesses, and limitations.
- Includes a case examine that examines the applicability of collaborative intrusion detection to real-world malware detection scenarios
- Illustrates allotted IDN structure design
- Considers belief administration, intrusion detection determination making, source administration, and collaborator management
The publication presents a whole evaluation of community intrusions, together with their capability harm and corresponding detection tools. masking the diversity of present IDN designs, it elaborates on privateness, malicious insiders, scalability, free-riders, collaboration incentives, and intrusion detection potency. It additionally presents a suite of challenge recommendations to key IDN layout demanding situations and indicates how one can use a number of theoretical instruments during this context.
The textual content outlines complete validation methodologies and metrics that will help you enhance potency of detection, robustness opposed to malicious insiders, incentive-compatibility for all members, and scalability in community dimension. It concludes through highlighting open matters and destiny challenges.
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Extra info for Intrusion Detection Networks: A Key to Collaborative Security
Sample text
1). It monitors inbound/outbound traffic to/from a computer as well as internal activities such as system calls. A HIDS views an individual device only, and may not be aware of the overall network environment. Examples of HIDSs include OSSEC [19] and Tripwire [29]. 1: An example of host-based IDS and network-based IDS. Tripwire is a brand of software used to ensure the integrity of critical system files and directories by identifying all changes made to them. Tripwire configuration options include the ability to receive alerts via email if particular files are altered, and automated integrity checking.
A Taxonomy of Cyber Intrusions . . . . . . . . . . . . . . . . . . Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 9 10 10 11 12 13 14 15 15 17 17 18 18 Since the first computer virus Creeper appeared in 1971, cyber attacks have been growing explosively and became a serious problem these days. Throughout the 1990s, the rise of commercial interest on the Internet has propelled information infrastructure as the core component of a global economy.
2 Cooperation Scope . . . . . . . . . . . . . . . . . . . . 3 Collaboration Type . . . . . . . . . . . . . . . . . . . . 4 Specialization . . . . . . . . . . . . . . . . . . . . . . . 5 Cooperation Technologies and Algorithms . . . . . . . . . 1 Data Correlation . . . . . . . . . . . . . . . 2 Trust Management . . . . . . . . . . . . . . 3 Load Balancing . . . . . .