验证码和验证码系统评价
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摘要
验证码是信息安全的第一道防线,目前国内外的研究主要集中在验证码识别和安全方面。本文从验证码的分类、特点着手,分析了影响验证码和验证码系统效果的关键因素,提出了客观评价验证码和验证码系统的方法,对促进验证码和验证码系统技术和信息系统安全技术的发展具有积极意义。
CAPTCHA is the first line of defense for information security. At present, researches at home and abroad mainly focus on CAPTCHA identification and security. Starting with the classification and characteristics of CAPTCHA, the paper analyzes the key factors affecting the effectiveness of the CAPTCHA and CAPTCHA system. A method for evaluating CAPTCHA and CAPTCHA system is presented, which has positive significance to promote the development of CAPTCHA and CAPTCHA system technology and information system security technology.
CAPTCHA is the first line of defense for information security. At present, researches at home and abroad mainly focus on CAPTCHA identification and security. Starting with the classification and characteristics of CAPTCHA, the paper analyzes the key factors affecting the effectiveness of the CAPTCHA and CAPTCHA system. A method for evaluating CAPTCHA and CAPTCHA system is presented, which has positive significance to promote the development of CAPTCHA and CAPTCHA system technology and information system security technology.
引文
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[2]于鹏.基于深度卷积神经网络AlexNet的验证码识别研究[J].通讯世界,2018,(1):66-7.
[3]田朝辉,金鑫,赵耿等.基于深度学习的物体识别验证码破解方法[J].计算机仿真,2018,(3):216-20.
[4]胡健,柳青,王海林.验证码安全与验证码绕过技术[J].计算机应用,2016,(1):37-41,57.
[5]SAADAT BEHESHTI S M R,LIATSIS P,RAJARAJAN M.A CAPTCHA model based on visual psychophysics:Using the brain to distinguish between human users and automated computer bots[J].Computers&Security,2017,(70):596-617.
[6]武越,汪云路.验证码安全性检测与评估系统[J].大众科技,2014,(11):14-7.
[7]张晋源,袁丽欧.探析关于图形验证码的安全性[J].电脑编程技巧与维护,2017,(12):76-7.
[8]SCHRYEN G,WAGNER G,SCHLEGEL A.Development of two novel face-recognition CAPTCHAs:A security and usability study[J].Computers&Security,2016,(60):95-116.
[9]王斌君,王靖亚,杜凯选.验证码技术的攻防对策研究[J].计算机应用研究,2013,(9):2776-9.
[10]张晓菲,邹婷,刘培鹤.基于字符型验证码破解算法研究[J].北京电子科技学院学报,2016,(4):50-4,77.
[11]冯杰,李旭伟.网上银行验证码研究与安全性分析[J].计算机技术与发展,2013,(11):144-7,60.
[12]YAN J,AHMAD A S E.A low-cost attack on a Microsoft captcha;proceedings of the ACM Conference on Computer and Communications Security,CCS 2008,Alexandria,Virginia,Usa,October,F,2008[C].
[13]王丽霞,柏建普.浅谈网站登录验证码验证机制的现状[J].无线互联科技,2014,(1):23.
[14]周正,文亚飞,鲍文平.基于深度学习的人工智能用于识别破解字符型验证码[J].通信技术,2017,50(11):2572-6.
[15]汪洋,许映秋,彭艳兵.基于KNN技术的校内网验证码识别[J].计算机与现代化,2017,(2):93-7.
[16]BURSZTEIN E,BETHARD S,FABRY C,et al.How Good Are Humans at Solving CAPTCHAs?A Large Scale Evaluation[M].2010 IEEE Symposium on Security and Privacy.IEEE.2010:399-413.
[17]范敏,陈磊.移动电子商务中的短信验证码安全威胁问题研究[J].合肥工业大学学报(社会科学版),2017,(5):37-41.
[18]Lin D,Lin F,Lv Y,et al.Chinese Character CAPTCHA Recognition and Performance Estimation via Deep Neural Network[J].Neurocomputing,2018,288:11-19.
[19]MORADI M,KEYVANPOUR M R.CAPTCHA and its Alternatives:A Review[M].John Wiley&Sons,Inc.,2015.