A game theoretic approach to cooperative intrusion detection

Journal of Computational Science - Tập 30 - Trang 118-126 - 2019
Yunchuan Guo1, Han Zhang1,2, Lingcui Zhang1, Liang Fang1, Fenghua Li1,2
1Institute of Information Engineering, Chinese Academy of Sciences, Beijing, 100093, China
2School of Cyber Security, University of Chinese Academy of Sciences, Beijing 100049, China

Tài liệu tham khảo

Loo, 2016

Nadeem, 2014, An intrusion detection & adaptive response mechanism for MANETs, Ad Hoc Netw., 13, 368, 10.1016/j.adhoc.2013.08.017

Vasilomanolakis, 2015, Taxonomy and survey of collaborative intrusion detection, ACM Comput. Surv., 47, 1, 10.1145/2716260

Restuccia, 2016, Incentive mechanisms for participatory sensing: survey and research challenges, ACM Trans. Sens. Netw., 12, 1

Shu, 2015, Privacy-preserving detection of sensitive data exposure, IEEE Trans. Inf. Forens. Secur., 10, 1092, 10.1109/TIFS.2015.2398363

Niksefat, 2014, ZIDS: a privacy-preserving intrusion detection system using secure two-party computation protocols, Comput. J., 57, 494, 10.1093/comjnl/bxt019

Do, 2015, Privacy-preserving approach for sharing and processing intrusion alert data, Proc. IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 7

Reed, 2010, Differential privacy for collaborative security, Proc. the Third European Workshop on System Security, 1

Jin, 2017, On the tradeoff between privacy and utility in collaborative intrusion detection systems—a game theoretical approach, Proc. the Hot Topics in Science of Security: Symposium and Bootcamp (HotSoS), 45, 10.1145/3055305.3055311

Niksefat, 2017, Privacy issues in intrusion detection systems: a taxonomy, survey and future directions, Comput. Sci. Rev., 25, 69, 10.1016/j.cosrev.2017.07.001

Hassanzadeh, 2011, Towards optimal monitoring in cooperative IDS for resource constrained wireless networks, Proc. of IEEE ICCCN, 1

Gil Perez, 2014, Trustworthy placements: improving quality and resilience in collaborative attack detection, Comput. Netw., 58, 70, 10.1016/j.comnet.2013.08.026

Subba, 2016, Enhancing effectiveness of intrusion detection systems: a hybrid approach, Proc. of IEEE International Conference on Advanced Networks and Telecommunications Systems, 1

Guo, 2018, Real-time data incentives for IoT searches, IEEE International Conference on Communications

Peng, 2018, Data quality guided incentive mechanism design for crowdsensing, IEEE Trans. Mob. Comput., 17, 307, 10.1109/TMC.2017.2714668

Zheng, 2017, A budget feasible incentive mechanism for weighted coverage maximization in mobile crowdsensing, IEEE Trans. Mob. Comput., 16, 2392, 10.1109/TMC.2016.2632721

Ma, 2017, PLP: protecting location privacy against correlation analyze attack in crowdsensing, IEEE Trans. Mob. Comput., 16, 2588, 10.1109/TMC.2016.2624732

Yang, 2012, Crowdsourcing to smartphones: incentive mechanism design for mobile phone sensing, Proc. of IEEE MOBILCOM, 173

Guo, 2014, Utility-based cooperative decision in cooperative authentication, Proc. of IEEE INFOCOM, 1006

Mukhopadhyay, 2017, Quality adaptive online double auction in participatory sensing, J. Inform. Math. Sci., 9, 571

Yin, 2018, A game-theoretic approach to advertisement dissemination in ephemeral networks, World Wide Web J., 21, 241, 10.1007/s11280-017-0432-6

Yu, 2016, MixGroup: accumulative pseudonym exchanging for location privacy enhancement in vehicular social networks, IEEE Trans. Depend. Secur. Comput., 13, 93, 10.1109/TDSC.2015.2399291

Cowden, 2012, Game theory, evolutionary stable strategies and the evolution of biological interactions, Nat. Educ. Knowl., 3

Boyd, 2004

Guo, 2018, Incentive mechanism for cooperative intrusion detection: an evolutionary game approach, Proc. International Conference on Computational Science (ICCS), 83

Thông tin
Thông tin xuất bản

Journal of Computational Science

Tập 30

118-126

Thông tin tác giả