[1]孙旭敏,刘彩霞.基于椭圆曲线的识别伪基站垃圾短信改进算法[J].计算机技术与发展,2018,28(07):121-124.[doi:10.3969/ j. issn.1673-629X.2018.07.026]
SUN Xu-min,LIU Cai-xia.n Improved Algorithm of Identifying Spam Message of Pseudo Base Station Based on Elliptic Curve[J].,2018,28(07):121-124.[doi:10.3969/ j. issn.1673-629X.2018.07.026]
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基于椭圆曲线的识别伪基站垃圾短信改进算法(
)
《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]
- 卷:
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28
- 期数:
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2018年07期
- 页码:
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121-124
- 栏目:
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安全与防范
- 出版日期:
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2018-07-10
文章信息/Info
- Title:
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n Improved Algorithm of Identifying Spam Message of Pseudo Base Station Based on Elliptic Curve
- 文章编号:
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1673-629X(2018)07-0121-04
- 作者:
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孙旭敏; 刘彩霞
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内蒙古大学 计算机学院,内蒙古 呼和浩特 010021
- Author(s):
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SUN Xu-min; LIU Cai-xia
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School of Computer,Inner Mongolia University,Hohhot 010021,China
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- 关键词:
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伪基站; 垃圾短信; 主动识别; 数字签名; 椭圆曲线
- Keywords:
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pseudo base station; spam messages; digital signature; elliptic curve
- 分类号:
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TP301.6
- DOI:
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10.3969/ j. issn.1673-629X.2018.07.026
- 文献标志码:
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A
- 摘要:
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随着公众移动通信的发展,不法分子为了牟取暴利,利用 GSM 网络自身的安全缺陷,多种机制的伪基站被应用于发送广告信息甚至诈骗短信,其带来的安全问题成为当前社会关注的一个重要问题。 伪基站信号覆盖范围内下发垃圾短信和在正常基站信号覆盖范围内下发短信的机制有着根本的不同。 合法短消息的转发需通过短消息服务中心,而伪基站垃圾短信是直接终端对终端进行的。 通过分析伪基站信号特征和工作原理,提出了基于数字签名的识别伪基站下发的垃圾短信甚至诈骗短信的方法,并对用于数字签名的椭圆曲线算法进行改进,在签名与认证部分将算法的有效性提高大约60%。 将改进的基于椭圆曲线算法的数字签名应用于短信息合法性的识别中,能够达到百分之百识别垃圾短信的效果。
- Abstract:
-
With the development of the public mobile communications,in order to get a huge profit,criminals take advantage of the GSM network’s security defects. A variety mechanisms of the pseudo base station are used to send advertising messages and even fraud messages,so security issues brought by spam messages of pseudo base station become a serious problem concerned by the society. The mechanism sending spam messages under signal covered by pseudo base station is fundamentally different from the mechanism covered by normal station. Legal short message should be forwarded through the short message service center,while the pseudo base station spam message is direct from terminal to terminal. By analysis of the pseudo base station signal feature and working principle,we propose an improved method based on digital signature to identify spam messages,and improve the elliptic curve cryptosystem used in digital signature.Therefore,the effectiveness of signature and verification process raises about 60%. The improved digital signature based on elliptic curve algorithm is applied to recognize the legality of short message,which can achieve the effect of one hundred percent identifying spam messages.
更新日期/Last Update:
2018-09-04