Attack detection method aiming at inorganization hostile attack

A malicious attack and attack detection technology, applied in the field of learning, can solve the problems of poor recommendation method and inability to detect malicious attackers, and achieve the effect of effective detection

Active Publication Date: 2018-02-13
NANJING UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At this time, the existing attack detection methods cannot effectively detect malicious attackers by detecting the same attack strategy, which makes the attack score still exist in a large number in the recommendation system, resulting in the poor effect of the recommendation method

Method used

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  • Attack detection method aiming at inorganization hostile attack
  • Attack detection method aiming at inorganization hostile attack
  • Attack detection method aiming at inorganization hostile attack

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Embodiment Construction

[0024] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.

[0025] Such as figure 1 As shown in the attack detection method for disorganized attacks, the specific steps are as follows:

[0026] Step 1.1, convert all the ratings given by users to items into an incomplete rating matrix M, and determine the parameters of the algorithm according to the number of users, number of items, number of ratings and range of ratings in the rating matrix M.

[0027] The parameters of the algorithm are determined according to the information of the scoring matrix M, spe...

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Abstract

The invention discloses a study algorithm capable of detecting the inorganization hostile attack in a recommendation system so as to better ensure the quality of a recommendation system. The inventionfirstly provides and solves the study problem of formalizing the inorganization attack detection task in the small-scale attack scene into matrix supplementation. A provided matrix supplementation algorithm is used for obtaining a real grading matrix X of the grading matrix M, a system noise matrix Z and a hostile attack deviation matrix Y. A hostile attacker in users is detected out according tothe information of the hostile attack deviation matrix Y.

Description

technical field [0001] The invention relates to machine learning and application technology, in particular to collaborative filtering, recommendation system, and attack detection. It is a learning method that can detect unorganized malicious attacks in the recommendation system, thereby better ensuring the quality of the recommendation system. Background technique [0002] Recommender systems are widely used in our lives, especially today as people's online lives are becoming more and more abundant, and recommender systems play an increasingly important role in our lives. For example, more and more people are buying items on online retail platforms such as Taobao and Amazon, and watching videos on video sites such as Youku and iQiyi. Facing the increasing number of users and items, how to recommend suitable items for each user is a huge challenge. To address such challenges, many collaborative filtering recommendation methods have been proposed. [0003] The basic assumpti...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/06
CPCH04L63/1416H04L63/1441H04L63/20
Inventor 周志华庞明高尉陶敏
Owner NANJING UNIV
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