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CAREER: Secure Communication via Source and Channel Randomness

CAREER: Secure Communication via Source and Channel Randomness
职业:通过源和通道随机性进行安全通信
批准号:
1026565
负责人:
Yingbin Liang
金额:
$37.44万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-02-01 至 2016-02-29

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Abstract for?CAREER: Secure Communication via Source and Channel Randomness?Current cryptosystem design depends on two main kinds of algorithms: secret-key and public-key algorithms. Secret-key algorithms are simple and efficient but have key management difficulty. Public-key algorithms are simple in key management but are computationally costly and vulnerable to the man-in-the-middle attack. This research investigates the emerging physical layer security approaches, which either achieve secure communication without keys, or simplify key management by generating keys using powerful coding techniques. This research aims at facilitating implementation of the physical layer security approaches to practical wireless communication systems, and stimulating interdisciplinary collaborations among researchers in mathematics, computer science and electrical engineering.This research provides a comprehensive framework to solve the problems of keyless secure communication and key agreement (key generation and distribution) for a variety of communication environments including noncoherent communication, channels with compound states, fading channels, noisy eavesdropping, and multihop networks. To be specific, this research investigates robust secure communication under channel uncertainty and delay constraint, fundamental tradeoff in multi-key agreement for different terminal pairs, key agreement algorithms by jointly using source and channel randomness, and key agreement protocols in multihop networks by exploiting network coding. This program is strongly coupled with educational and curriculum development at the University of Hawaii, and involves development of an advanced monograph on the topic of physical layer security to help disseminate the progresses in this active area in and outside the communication society.
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  • 批准号:
    2148253
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $100.0万
  • 财政年份:
    2022
  • 负责人:
    Yingbin Liang
  • 依托单位:
Collaborative Research: CCSS: Learning to Optimize: From New Algorithms to New Theory
  • 批准号:
    2113860
  • 项目类别:
    Standard Grant
  • 资助金额:
    $22.0万
  • 财政年份:
    2021
  • 负责人:
    Yingbin Liang
  • 依托单位:
Collaborative Research: SCALE MoDL: Adaptivity of Deep Neural Networks
  • 批准号:
    2134145
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2021
  • 负责人:
    Yingbin Liang
  • 依托单位:
CIF: Small: Collaborative Research: Acceleration Algorithms for Large-scale Nonconvex Optimization
  • 批准号:
    1909291
  • 项目类别:
    Standard Grant
  • 资助金额:
    $25.0万
  • 财政年份:
    2019
  • 负责人:
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  • 依托单位:
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