2021年信息与数学学院学术报告(二十四)


讲座题目Linear Codes from Boolean Functions

主办单位:长江大学信息与数学学院

报告专家:郑大彬(湖北大学 教授)

报告时间20211112(周五) 15:00-16:00

报告地点东校区8-406

专家简介:郑大彬,男,19774月生,理学博士。现为湖北大学数学与统计学学院教授、博士生导师、副院长,中国数学会理事、中国数学会计算机数学专业委员会委员、湖北省数学会理事。20066月于中科院数学与系统科学研究院获博士学位,20096月至20124月在中科院研究生院信息安全国家重点实验室从事博士后研究工作,20153月至20162月在美国特拉华大学访问、学习。研究方向为编码密码学,完成国家自然科学基金项目项目2项和省部级项目多项,在研国家自然科学基金项目和湖北省科技创新重大专项各1项。在IEEE Transactions on Information TheoryDesign, Codes and Cryptography, Finite Fields and Their Applications, Discrete Mathematics, Cryptography and Communications, SCIENCE CHINA Mathematics等国内外学术刊物和国际会议上发表文章30多篇。曾获得第31届国际符号与代数计算(ISSAC2006)年会杰出论文奖。

摘要: Linear codes with few weights have applications in secret sharing, strongly regular graphs, association schemes and authentication codes.How to construct linear codes with excellent properties becomes an interesting research topic, and it is an efficient way to construct linear codes with few weights from Boolean functions. In this talk, we first introduce two general constructions of linear codes from Boolean functions over finite fields and some recent related results. Then we give a more generic construction of linear codes from Boolean functions and many good linear codes with new parameters and expilict weight distributions are obtained.