CAREER: Survivability and Selfcoexistence in the Battle of Cognitive Radio Network Societies

职业:认知无线电网络社会之战中的生存性和自我共存

基本信息

项目摘要

Dynamic spectrum access (DSA) based on cognitive radio (CR) allows unused licensed bands to be used by unlicensed (secondary) networks in an opportunistic/dynamic manner under the provision that they would vacate upon the return of the licensed users. DSA allows unlicensed users to share frequencies, but the paradigm does not provide good protection from interference. This raises serious challenge of self-coexistence among the secondary networks as well as risks of disruption from malicious CR devices/networks through various non-traditional spectrum attacks. This project studies the self-coexistence challenges of CR networks under adversarial conditions and investigates inter-disciplinary methodologies based on game theory, behavioral adaptation, stochastic learning and network forensics that aid survivability of these networks. To assess effectiveness, the mechanisms are implemented on CR prototype testbed. The intellectual merit of this project lies in: 1) constructing behavioral frameworks studying the evolutionary dynamics of spectrum conflict, 2) systematically understanding the unique shadow-disruptive nature of the malicious CRs exploiting the finest granularity of spectrum agility, and 3) developing a suite of survival mechanisms against cognitive disruptions and exploring their effectiveness. The project has broader impact on wireless technologies/policies and is expected to help in the efficient and secure design of future cognitive radios. This project is committed to tightly integrate research and educational plans which revolve around student mentoring, graduate/undergraduate curriculum enhancement and hands-on project based learning taking feedback from research findings and K-12 outreach. Research results will be disseminated through publications, seminars, and tutorials.
基于认知无线电(CR)的动态频谱接入(DSA)允许未使用的持牌频带以机会/动态的方式供未持牌(辅助)网络使用,但须在持牌用户返回时腾出这些频带。DSA允许未经许可的用户共享频率,但这种模式不能很好地防止干扰。这提出了二级网络之间自我共存的严峻挑战,以及恶意CR设备/网络通过各种非传统频谱攻击造成破坏的风险。该项目研究对抗条件下CR网络的自我共存挑战,并研究基于博弈论、行为适应、随机学习和网络取证的跨学科方法,这些方法有助于这些网络的生存能力。为了评估这些机制的有效性,在CR原型试验台上实现了这些机制。本项目的智力价值在于:1)构建行为框架,研究频谱冲突的演化动力学;2)系统地理解恶意cr利用频谱敏捷性的最细粒度的独特阴影破坏性质;3)开发一套针对认知破坏的生存机制并探索其有效性。该项目对无线技术/政策有更广泛的影响,预计将有助于未来认知无线电的高效和安全设计。该项目致力于紧密整合研究和教育计划,围绕学生指导,研究生/本科生课程改进和基于实践项目的学习,从研究成果和K-12外展中获得反馈。研究成果将通过出版物、研讨会和教程传播。

项目成果

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Shamik Sengupta其他文献

2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2020, Austin, TX, USA, March 23-27, 2020
2020 IEEE 国际普适计算和通信研讨会研讨会,PerCom Workshops 2020,美国德克萨斯州奥斯汀,2020 年 3 月 23-27 日
  • DOI:
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yuan Lai;Gonzalo J. Martinez;Stephen M. Mattingly;Shayan Mirjafari;Subigya Nepal;Andrew T Campbell;A. Dey;Aaron D. Striegel;Marco Jansen;Fatjon Seraj;Wei Wang;P. Havinga;Kaijie Zhang;Zhiwen Yu;Dong Zhang;Zhu Wang;Bin Guo;Julian Graf;Katrin Neubauer;Sebastian Fischer;Rudolf Hackenberg;Elliott Wen;Gerald Weber;Javier Rojo;Daniel Flores;J. García;J. M. Murillo;Javier Berrocal;Mingyu Hou;Tianyu Kang;Li Guo;Edison Thomaz;Beichen Yang;Min Sun;Xiaoyan Hong;Xiaoming Guo;P. Barsocchi;A. Crivello;Michele Girolami;Fabio Mavilia;Vivek Chandel;Shivam Singhal;Avik Ghose;Tetsushi Matsuda;Toru Inada;Susumu Ishihara;Luay Alawneh;Belal Mohsen;Mohammad Al;Ahmed S. Shatnawi;Mahmoud Al;N. B. Rabah;Eoin Brophy;W. Muehlhausen;A. Smeaton;Tomás E. Ward;S. Maskey;S. Badsha;Shamik Sengupta;Ibrahim Khalil;Stanisław Saganowski;Anna Dutkowiak;A. Dziadek;Maciej Dziezyc;Joanna Komoszynska;Weronika Michalska;Adam G. Polak;Michal Ujma;Przemysław Kazienko;Nurullah Karakoç;Anna Scaglione;Fatemeh Mirzaei;Jonathan Lam;Roberto Manduchi;R. K. Ramakrishnan;R. Gavas;Lalit Venkata Subramaninan Viraraghavan;Kumar Hissaria;Arpan Pal;P. Balamuralidhar;S. Ditton;Ali Tekeoglu;K. Bekiroglu;Seshadhri Srinivasan;E. Tonkin;Miquel Perello Nieto;Haixia Bi;Antonis Vafeas;Yuri Tani;M. Garcia;A. Konios;M. A. Mustafa;C. Nugent;G. Morrison;Noah Sieck;Cameron Calpin;Mohammad S. Almalag;M. M. Sandhu;Kai Geissdoerfer;Sara Khalifa;Raja Jurdak;Marius Portmann;Brano Kusy;Alwyn Burger;Chao Qian;Gregor Schiele;Domenik Helms;Peter Zdankin;Marian Waltereit;V. Matkovic;Torben Weis;Syafiq Al Atiiq;Christian Gehrmann;Jae Woong Lee;Sumi Helal;Mathias Mormul;Christoph Stach;L. Krupp;G. Bahle;Agnes Gruenerbl;P. Lukowicz;Nicholas Handaja;Brent Lagesse;Clémentine Gritti;Dennis Przytarski;Bernhard Mitschang;Yeongjun Jeon;Kukho Heo;Soon Ju Kang;Sandeep Biplav Srivastava;Singh Sandha;Vaskar Raychoudhury;Sukanya Randhawa;V. Kapoor;Anmol Agrawal;Young D. Kwon;Kirill A. Shatilov;Lik;Serkan Kumyol;Kit;Yui;Pan Hui;Brittany Lewis;Joshua Hebert;Krishna Venkatasubramanian;Matthew Provost;Kelly Charlebois;Kristina Yordanova;Albert Hein;T. Kirste;Lien;Jun;Wei;Casper Van Gheluwe;I. Šemanjski;Suzanne Hendrikse;S. Gautama;Furqan Jameel;Zheng Chang;Riku Jäntti;Sergio Laso;M. Linaje;Ikram Ullah;N. Meratnia;Steven M. Hernandez;Eyuphan Bulut;Amiah Gooding;Matthew Martin;Maxwell Minard;Smruthi Sandhanam;Travis Stanger;Yana Alexandrova;Ashfaq Khokhar;Goce Trajcevski;Utsav Goswami;Kevin Wang;Gabriel Nguyen;Federico Montori;L. Bedogni;Gianluca Iselli;L. Bononi;Saptaparni Kumar;Haochen Pan;Roger Wang;Lewis Tseng;K. Hirayama;S. Saiki;Masahide Nakamura;Kiyoshi Yasuda;Samy El;Ismail Arai;Ahmad Salman;B. B. Park;Yuya Sano;Yuito Sugata;Teruhiro Mizumoto;H. Suwa;K. Yasumoto;P. Kouris;Marietta Sionti;Chrysovalantis Korfitis;Stella Markantonatou;Naima Khan;Nirmalya Roy;D. Jaiswal;D. Chatterjee;Ramesh Kumar;Ana Cristina Franco;Da Silva;Pascal Hirmer;Jan Schneider;Seda Ulusal;Matheus Tavares;Tomokazu Matsui;Kosei Onishi;Shinya Misaki;Manato Fujimoto;Hayata Satake;Yuki Kobayashi;Ryotaro Tani;Hiroshi Shigeno;Avijoy Chakma;Abu Zaher;Md Faridee;M Sajjad Hossain;Cleo Forman;Pablo Thiel;Raymond Ptucha;Miguel Dominguez;Cecilia Ovesdotter Alm;S. Mozgai;Arno Hartholt;Albert Rizzo
  • 通讯作者:
    Albert Rizzo
Poisoning the Well: Adversarial Poisoning on ML-based Software-defined Network Intrusion Detection Systems
毒井:基于机器学习的软件定义网络入侵检测系统的对抗性中毒
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Tapadhir Das;R. Shukla;Shamik Sengupta
  • 通讯作者:
    Shamik Sengupta
Performance analysis of CR-honeynet to prevent jamming attack through stochastic modeling
  • DOI:
    10.1016/j.pmcj.2015.04.004
  • 发表时间:
    2015-08-01
  • 期刊:
  • 影响因子:
  • 作者:
    Suman Bhunia;Shamik Sengupta;Felisa Vázquez-Abad
  • 通讯作者:
    Felisa Vázquez-Abad
N-Player Cybersecurity Game Theory Model in Power Grids
电网中的N人网络安全博弈论模型
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Matthew S. Egan;Shamik Sengupta
  • 通讯作者:
    Shamik Sengupta
Systematic Analysis of Individuals’ Perspectives on Cybersecurity Using Q Methodology: Implications for Research and Application in Behavior Analysis
使用 Q 方法对个人对网络安全的看法进行系统分析:对行为分析研究和应用的启示
  • DOI:
    10.1007/s42822-024-00174-5
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    1.6
  • 作者:
    Rita Olla;Ramona A. Houmanfar;Shamik Sengupta;Emily M. Hand;Sushil J. Louis
  • 通讯作者:
    Sushil J. Louis

Shamik Sengupta的其他文献

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{{ truncateString('Shamik Sengupta', 18)}}的其他基金

RET Site: Research Experiences in Cybersecurity for Nevada Teachers (RECNT)
RET 网站:内华达州教师网络安全研究经验 (RECNT)
  • 批准号:
    2302187
  • 财政年份:
    2023
  • 资助金额:
    $ 36.21万
  • 项目类别:
    Standard Grant
CyberCorps Scholarship for Service: Preparing an Interdisciplinary Next-Gen Cybersecurity Workforce
Cyber​​Corps 服务奖学金:培养跨学科的下一代网络安全劳动力
  • 批准号:
    2146146
  • 财政年份:
    2022
  • 资助金额:
    $ 36.21万
  • 项目类别:
    Continuing Grant
CC* Integration-Large: Robust and Predictable Network Infrastructure for Wide-Area Hybrid Sensor Networks
CC* 大型集成:适用于广域混合传感器网络的稳健且可预测的网络基础设施
  • 批准号:
    2019164
  • 财政年份:
    2020
  • 资助金额:
    $ 36.21万
  • 项目类别:
    Standard Grant
RET Site: Research Experiences in Cybersecurity for Nevada Teachers (RECNT)
RET 网站:内华达州教师网络安全研究经验 (RECNT)
  • 批准号:
    1855159
  • 财政年份:
    2019
  • 资助金额:
    $ 36.21万
  • 项目类别:
    Standard Grant
CICI: CE: Implementing CYBEX-P: Helping Organizations to Share with Privacy Preservation
CICI:CE:实施CYBEX-P:帮助组织共享隐私保护
  • 批准号:
    1739032
  • 财政年份:
    2018
  • 资助金额:
    $ 36.21万
  • 项目类别:
    Standard Grant
Longitudinal Injection of Interdisciplinary Cybersecurity Awareness into Engineering Curricula
将跨学科网络安全意识纵向注入工程课程
  • 批准号:
    1723814
  • 财政年份:
    2017
  • 资助金额:
    $ 36.21万
  • 项目类别:
    Standard Grant
TWC SBE: Small: Establishing market based mechanisms for CYBer security information EXchange (CYBEX)
TWC SBE:小型:建立基于市场的 CYBer 安全信息交换(CYBEX)机制
  • 批准号:
    1528167
  • 财政年份:
    2015
  • 资助金额:
    $ 36.21万
  • 项目类别:
    Standard Grant
Collaborative Research: Capacity building in Cybersecurity-literacy: An inter-disciplinary approach
合作研究:网络安全素养能力建设:跨学科方法
  • 批准号:
    1516724
  • 财政年份:
    2015
  • 资助金额:
    $ 36.21万
  • 项目类别:
    Standard Grant
RET Site: Cyber Security Initiative for Nevada Teachers (CSINT)
RET 网站:内华达州教师网络安全计划 (CSINT)
  • 批准号:
    1542465
  • 财政年份:
    2015
  • 资助金额:
    $ 36.21万
  • 项目类别:
    Standard Grant
CAREER: Survivability and Selfcoexistence in the Battle of Cognitive Radio Network Societies
职业:认知无线电网络社会之战中的生存性和自我共存
  • 批准号:
    1149920
  • 财政年份:
    2012
  • 资助金额:
    $ 36.21万
  • 项目类别:
    Continuing Grant

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会议:重新构建当今互联网的生存能力
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