{"product_id":"9783319737874","title":"SpringerBriefs in Computer Science","description":"\u003ch1\u003eSpringerBriefs in Computer Science\u003c\/h1\u003e \u003ch2\u003eNunes, Eric; Shakarian, Paulo; Simari, Gerardo I.; Ruef, Andrew\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis SpringerBrief discusses how to develop intelligent systems for cyber attribution regarding cyber-attacks. Specifically, the authors review the multiple facets of the cyber attribution problem that make it difficult for “out-of-the-box” artificial intelligence and machine learning techniques to handle.\u003c\/p\u003e  \u003cp\u003e Attributing a cyber-operation through the use of multiple pieces of technical evidence (i.e., malware reverse-engineering and source tracking) and conventional intelligence sources (i.e., human or signals intelligence) is a difficult problem not only due to the effort required to obtain evidence, but the ease with which an adversary can plant false evidence.\u003c\/p\u003e  \u003cp\u003eThis SpringerBrief not only lays out the theoretical foundations for how to handle the unique aspects of cyber attribution – and how to update models used for this purpose – but it also describes a series of empirical results, as well as compares results of specially-designed frameworks for cyber attribution to standard machine learning approaches.\u003c\/p\u003e  \u003cp\u003e Cyber attribution is not only a challenging problem, but there are also problems in performing such research, particularly in obtaining relevant data. This SpringerBrief describes how to use capture-the-flag for such research, and describes issues from organizing such data to running your own capture-the-flag specifically designed for cyber attribution. Datasets and software are also available on the companion website.\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2018-02-27\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9783319737874\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-3-319-73788-1\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 91\u003c\/p\u003e ","brand":"Springer International Publishing","offers":[{"title":"Default Title","offer_id":45228057788556,"sku":"9783319737874","price":49.49,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783319737874.jpg?v=1772897783","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9783319737874","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}