{ "item_title" : "Using Sequence Analysis to Perform Application-Based Anomaly Detection within an Artificial Immune System Framework", "item_author" : [" Larissa A. O'Brien "], "item_description" : "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).", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/24/983/309/1249833094_b.jpg", "price_data" : { "retail_price" : "57.95", "online_price" : "57.95", "our_price" : "57.95", "club_price" : "57.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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