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Using Sequence Analysis To Perform Application-based Anomaly Detection Within An Artificial Immune System Framework by Larissa A O'Brien
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Using Sequence Analysis To Perform Application-based Anomaly Detection Within An Artificial Immune System Framework by Larissa A O'Brien
From Larissa A O'Brien
Current price: $60.51
Indigo
Using Sequence Analysis To Perform Application-based Anomaly Detection Within An Artificial Immune System Framework by Larissa A O'Brien
From Larissa A O'Brien
Current price: $60.51
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Size: 0.21 x 9.69 x 0.43
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The Air Force and other Department of Defense (DoD) computer systems typically rely on traditional signature-based network IDSs to detect various types of attempted or successful attacks. Signature-based methods are limited to detecting known attacks or similar variants; anomaly-based systems, by contrast, alert on behaviors previously unseen. The development of an effective anomaly-detecting, application-based IDS would increase the Air Force's ability to ward off attacks that are not detected by signature-based network IDSs, thus strengthening the layered defenses necessary to acquire and maintain safe, secure communication capability. This system follows the Artificial Immune System (AIS) framework, which relies on a sense of \"self,\" or normal system states to determine potentially dangerous abnormalities (\"non-self\"). | Using Sequence Analysis To Perform Application-based Anomaly Detection Within An Artificial Immune System Framework by Larissa A O'Brien