BIT for Intelligent system design

The principal of Built-in-test and self-test has been widely applied to the design and testing of complex, mixed-signal electronic systems, such as integrated circuits (IC s) and multifractional instrumentation . A system with BIT is characterized by its ability to identify its operation condition by itself, through the testing and diagnosis capabilities built into its in structure. To ensure reliable performance, testability needs to be incorporated into the early stage of system and product design. Various techniques have been developed over the past decades to implement the BIT technique. In the semiconductor, the objective of applying BIT is to improve the yield of chip fabrication, enable robust and efficient chip testing and better scope with the increasing circuit complexity and integration density.a

Current approaches to intrusion detection systems

Most current approaches to the process of detecting intrusions utilize some form of rule-based analysis. Rule-Based analysis relies on sets of predefined rules that are provided by an administrator, automatically created by the system, or both. Expert systems are the most common form of rule-based intrusion detection approaches. The early intrusion detection research efforts realized the inefficiency of any approach that required a manual review of a system audit trail. While the information necessary to identify attacks was believed to be present within the voluminous audit data, an effective review of the material required the use of an automated system.

The use of expert system techniques in intrusion detection mechanisms was a significant milestone in the development of effective and practical detection-based information security systems.

Intrusion Detection Systems

The timely and accurate detection of computer and network system intrusions has always been an elusive goal for system administrators and information security researchers. The individual creativity of attackers, the wide range of computer hardware and operating systems, and the ever changing nature of the overall threat to target systems have contributed to the difficulty in effectively identifying intrusions. While the complexities of host computers already made intrusion detection a difficult endeavor, the increasing prevalence of distributed network-based systems and insecure networks such as the Internet has greatly increased the need for intrusion detection.

ANN for misuse detection

Because of the increasing dependence which companies and government agencies have on their computer networks the importance of protecting these systems from attack is critical. A single intrusion of a computer network can result in the loss or unauthorized utilization or modification of large amounts of data and cause users to question the reliability of all of the information on the network. There are numerous methods of responding to a network intrusion, but they all require the accurate and timely identification of the attack.