By Sushil Jajodia, V.S. Subrahmanian, Vipin Swarup, Cliff Wang
This edited quantity includes a large spectrum of the most recent computing device technological know-how examine with regards to cyber deception. in particular, it good points paintings from the parts of man-made intelligence, video game concept, programming languages, graph idea, and extra. The paintings provided during this booklet highlights the complicated and multi-facted elements of cyber deception, identifies the recent medical difficulties that might emerge within the area due to the complexity, and offers novel ways to those problems.
This publication can be utilized as a textual content for a graduate-level survey/seminar direction on state-of-the-art computing device technology study in relation to cyber-security, or as a supplemental textual content for a typical graduate-level direction on cyber-security.
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Extra resources for Cyber Deception: Building the Scientific Foundation
H. Spafford Detection Honeypots provide an additional advantage over traditional detection mechanisms such as Intrusion Detection Systems (IDS) and anomaly detection. First, they generate less logging data as they are not intended to be used as part of normal operations and thus any interaction with them is illicit. Second, the rate of false positive is low as no one should interact with them for normal operations. Angnostakis et al. proposed an advanced honeypot-based detection architecture in the use of shadow honeypots .
Second, the rate of false positive is low as no one should interact with them for normal operations. Angnostakis et al. proposed an advanced honeypot-based detection architecture in the use of shadow honeypots . In their scheme they position Anomaly Detection Sensors (ADSs) in front of the real system where a decision is made as whether to send the request to a shadow machine or to the normal machine. The scheme attempts to integrate honeypots with real systems by seamlessly diverting suspicious traffic to the shadow system for further investigation.
H. Spafford Despite all the efforts organizations have in place, attackers might infiltrate information systems, and operate without being detected or slowed. In addition, persistent adversaries might infiltrat the system and passively observe for a while to avoid being detected and/or slowed when moving on to their targets. As a result, a deceptive layer of defense is needed to augment our systems with negative and deceiving information to lead attackers astray. We may also significantly enhance organizational intrusion detection capabilities by deploying detection methods using multiple, additional facets.