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社會網(wǎng)絡(luò)中不良URL的研究

發(fā)布時間:2018-03-22 13:45

  本文選題:社會網(wǎng)絡(luò) 切入點:不良URL 出處:《山東大學》2014年碩士論文 論文類型:學位論文


【摘要】:近年來,問答類社會網(wǎng)絡(luò)迅速發(fā)展,用戶量快速增長。經(jīng)過數(shù)年的積累,以人為核心的問答類社會網(wǎng)絡(luò)正成為互聯(lián)網(wǎng)的主體應(yīng)用之一。然而,隨著社會網(wǎng)絡(luò)的蓬勃發(fā)展,互聯(lián)網(wǎng)安全受到了新的挑戰(zhàn)。首先是用戶信息的安全。在社會網(wǎng)絡(luò)中,為了更好的交流,用戶一般都會公布自己的個人信息。然而由于缺乏安全防護意識和未采取隱私措施,用戶信息資料經(jīng)常被非法公開或被一些不法分子非法利用。使得用戶的隱私和安全問題頻頻發(fā)生。其次是不良URL的傳播。由于社會網(wǎng)絡(luò)中信息的快速傳播性,很多黑客可以用社會網(wǎng)絡(luò)傳播不良信息。其中危害性比較大的是不良URL,主要有惡意URL、釣魚URL。垃圾廣告URL、色情URL等。這些給用戶使用社會網(wǎng)絡(luò)及社會網(wǎng)絡(luò)的健康發(fā)展造成了嚴重的危害。 本文是當前研究問答類社會網(wǎng)絡(luò)中的不良URL的少數(shù)文章之一。有效的彌補了該類研究的不足。針對當前問答類社會網(wǎng)絡(luò)中出現(xiàn)的不良URL現(xiàn)象進行了深入的研究。本文首先對社會網(wǎng)絡(luò)中的不良URL的問題進行了分析。說出了其中的危害:傳播惡意URL(包括釣魚URL)、給用戶造成威脅、安裝惡意軟件、竊聽用戶信息、盜取用戶密碼等威脅;或者傳播色情URL,影響網(wǎng)絡(luò)生態(tài)環(huán)境;或者散步大量廣告,使用戶難以找到自己需要的答案,或者用戶收到許多不良信息的誤導(dǎo)和騷擾。 本文針對問答類社會網(wǎng)絡(luò)中的問題,提出了解決方案。即首先爬取問答類社會網(wǎng)站,提取其中用戶回答問題所發(fā)布的URL,然后通過urlvoid網(wǎng)站進行判斷,可以迅速的找出該URL的性質(zhì),進而判定是否是惡意的URL。對于廣告類的URL,也就是與用戶問題不想對應(yīng)的URL。通過文本相似度來計算URL與問題的匹配值。其中用到了網(wǎng)頁關(guān)鍵字提取,文本相似度計算等。如果匹配值較低,則認為他們是不相關(guān)的,進而判斷為不相關(guān)URL。 最后實現(xiàn)實驗并對實驗結(jié)果進行評估。通過大量的實驗及評估,實驗取得了較好的實驗結(jié)果。 本文主要通過對問答類社會網(wǎng)絡(luò)中不良URL的研究,通過對雅虎問答的爬取,分析,得到了以下結(jié)論,取得了一下成果: 1,本文是當前對社會網(wǎng)絡(luò)中的不良URL研究的少數(shù)文章之一,針對問答類社會網(wǎng)絡(luò)中出現(xiàn)的安全問題,提出了解決框架,并設(shè)計了我們的系統(tǒng),通過了實驗驗證; 2,用雅虎S4平臺提高了鑒定不良URL的速率,獲得了較為理想的速率; 3,利用文本相似度處理,鑒定垃圾URL,廣告URL,擴展了文本相似度原理的應(yīng)用; 4,能夠快速的判別出惡意URL,這大大減少了惡意URL的危害。
[Abstract]:In recent years, question-and-answer social network has developed rapidly and the number of users has increased rapidly. After several years of accumulation, the question-and-answer social network with people as the core is becoming one of the main applications of the Internet. However, with the rapid development of social network, Internet security is facing new challenges. First, the security of user information. In social networks, in order to communicate better, users generally publish their personal information. However, due to lack of security awareness and privacy measures, User information materials are often illegally exposed or illegally exploited by some lawless elements, which make the privacy and security problems of users occur frequently. Secondly, the spread of bad URL. Because of the rapid dissemination of information in social networks, Many hackers can use social networks to spread bad information. Among them, bad URLs are more harmful, mainly malicious URLs, phishing URL. spam URL. pornographic URL. These give users the use of social networks and social network health hair. The exhibition caused serious harm. This paper is one of the few articles of the current research on the bad URL in the social network of question and answer. It effectively makes up for the deficiency of this kind of research. This paper makes a deep research on the phenomenon of bad URL in the social network of question and answer at present. In this paper, we first analyze the problem of bad URL in social network, and point out the harm: spreading malicious URLs (including phishing URLs) is a threat to users. Install malicious software, eavesdrop on user information, steal user passwords and other threats; or spread pornography to affect the ecological environment of the network; or walk through a large number of advertisements that make it difficult for users to find the answers they need. Or the user receives a lot of bad information to mislead and harass. This paper puts forward a solution to the problems in the question answering social network, that is, first crawling the question answering social website, extracting the URLs published by the user answering the questions, and then judging by the urlvoid website. Can quickly find out the nature of the URL, and then determine whether the malicious URL. For the advertising class URL, that is, the user does not want to corresponding URL. through the text similarity to calculate the matching value between the URL and the problem. If the matching value is low, they are considered irrelevant and judged as irrelevant URLLs. Finally, the experiment is carried out and the experimental results are evaluated. Through a large number of experiments and evaluations, good experimental results are obtained. This article mainly through the question and answer social network bad URL research, through the Yahoo question and answer crawling, the analysis, has obtained the following conclusion, has obtained the achievement:. 1. This paper is one of the few articles on the research of the bad URL in social network. Aiming at the security problems in the social network of question and answer, the framework is proposed, and our system is designed and verified by experiment. 2, using Yahoo S4 platform to improve the rate of identification of bad URL, obtained a more ideal rate; 3. The application of text similarity principle is extended by using text similarity processing, identifying spam URLand advertising URLL; 4, can quickly identify malicious URL, which greatly reduces the harm of malicious URL.
【學位授予單位】:山東大學
【學位級別】:碩士
【學位授予年份】:2014
【分類號】:TP393.09;TP309

【參考文獻】

相關(guān)期刊論文 前1條

1 李天健;;改善社交網(wǎng)絡(luò)安全對策思考[J];計算機光盤軟件與應(yīng)用;2012年04期

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本文編號:1648913

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