FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2890959779> ?p ?o ?g. }

• W2890959779 abstract "Machine learning has a long tradition of helping to solve complex information security problems that are difficult to solve manually. Machine learning techniques learn models from data representations to solve a task. These data representations are hand-crafted by domain experts. Deep Learning is a sub-field of machine learning, which uses models that are composed of multiple layers. Consequently, representations that are used to solve a task are learned from the data instead of being manually designed. In this survey, we study the use of DL techniques within the domain of information security. We systematically reviewed 77 papers and presented them from a data-centric perspective. This data-centric perspective reflects one of the most crucial advantages of DL techniques -- domain independence. If DL-methods succeed to solve problems on a data type in one domain, they most likely will also succeed on similar data from another domain. Other advantages of DL methods are unrivaled scalability and efficiency, both regarding the number of examples that can be analyzed as well as with respect of dimensionality of the input data. DL methods generally are capable of achieving high-performance and generalize well. However, information security is a domain with unique requirements and challenges. Based on an analysis of our reviewed papers, we point out shortcomings of DL-methods to those requirements and discuss further research opportunities." @default.
• W2890959779 created "2018-09-27" @default.
• W2890959779 creator A5005759701 @default.
• W2890959779 creator A5034523015 @default.
• W2890959779 creator A5080075106 @default.
• W2890959779 date "2018-09-12" @default.
• W2890959779 modified "2023-09-27" @default.
• W2890959779 title "Deep Learning in Information Security" @default.
• W2890959779 cites W1412775481 @default.
• W2890959779 cites W1522973599 @default.
• W2890959779 cites W1529583686 @default.
• W2890959779 cites W1530215515 @default.
• W2890959779 cites W1546200464 @default.
• W2890959779 cites W1603565383 @default.
• W2890959779 cites W1686810756 @default.
• W2890959779 cites W177847060 @default.
• W2890959779 cites W1813659000 @default.
• W2890959779 cites W1851665508 @default.
• W2890959779 cites W1915283592 @default.
• W2890959779 cites W1924770834 @default.
• W2890959779 cites W1951216520 @default.
• W2890959779 cites W1955857676 @default.
• W2890959779 cites W1963911016 @default.
• W2890959779 cites W1966608797 @default.
• W2890959779 cites W1966809779 @default.
• W2890959779 cites W1971657180 @default.
• W2890959779 cites W1973041621 @default.
• W2890959779 cites W1973445088 @default.
• W2890959779 cites W1985987493 @default.
• W2890959779 cites W1989889610 @default.
• W2890959779 cites W2053637704 @default.
• W2890959779 cites W2071949631 @default.
• W2890959779 cites W2072128103 @default.
• W2890959779 cites W2076063813 @default.
• W2890959779 cites W2087922528 @default.
• W2890959779 cites W2097998348 @default.
• W2890959779 cites W2109255472 @default.
• W2890959779 cites W2112796928 @default.
• W2890959779 cites W2113207845 @default.
• W2890959779 cites W2116261113 @default.
• W2890959779 cites W2122646361 @default.
• W2890959779 cites W2123045220 @default.
• W2890959779 cites W2127589108 @default.
• W2890959779 cites W2131774270 @default.
• W2890959779 cites W2132339004 @default.
• W2890959779 cites W2136655611 @default.
• W2890959779 cites W2141200610 @default.
• W2890959779 cites W2149194912 @default.
• W2890959779 cites W2155541015 @default.
• W2890959779 cites W2156163116 @default.
• W2890959779 cites W2160815625 @default.
• W2890959779 cites W2250539671 @default.
• W2890959779 cites W2253891449 @default.
• W2890959779 cites W2304648132 @default.
• W2890959779 cites W2342408547 @default.
• W2890959779 cites W2380581874 @default.
• W2890959779 cites W2432677034 @default.
• W2890959779 cites W2439568532 @default.
• W2890959779 cites W2440159969 @default.
• W2890959779 cites W2463456957 @default.
• W2890959779 cites W2510190030 @default.
• W2890959779 cites W2513586865 @default.
• W2890959779 cites W2520442116 @default.
• W2890959779 cites W2542457192 @default.
• W2890959779 cites W2553303224 @default.
• W2890959779 cites W2556432796 @default.
• W2890959779 cites W2559840118 @default.
• W2890959779 cites W2559975580 @default.
• W2890959779 cites W2560211560 @default.
• W2890959779 cites W2565257220 @default.
• W2890959779 cites W2572180805 @default.
• W2890959779 cites W2579446510 @default.
• W2890959779 cites W2605124728 @default.
• W2890959779 cites W2619779390 @default.
• W2890959779 cites W2621048556 @default.
• W2890959779 cites W2657631929 @default.
• W2890959779 cites W2682375553 @default.
• W2890959779 cites W2693668331 @default.
• W2890959779 cites W2734621483 @default.
• W2890959779 cites W2741113415 @default.
• W2890959779 cites W2744526863 @default.
• W2890959779 cites W2751258126 @default.
• W2890959779 cites W2753395445 @default.
• W2890959779 cites W2763978449 @default.
• W2890959779 cites W2767420072 @default.
• W2890959779 cites W2773897148 @default.
• W2890959779 cites W2779797561 @default.
• W2890959779 cites W2779862145 @default.
• W2890959779 cites W2781091734 @default.
• W2890959779 cites W2789773147 @default.
• W2890959779 cites W2793708128 @default.
• W2890959779 cites W2900698625 @default.
• W2890959779 cites W2914331073 @default.
• W2890959779 cites W2949213045 @default.
• W2890959779 cites W2949311987 @default.
• W2890959779 cites W2949888546 @default.
• W2890959779 cites W2950018712 @default.
• W2890959779 cites W2950133940 @default.
• W2890959779 cites W2950191616 @default.
• W2890959779 cites W2950220847 @default.

• next