［1］XU W, TRAPPE W, ZHANG Y, et al. The feasibility of launching and detecting jamming attacks in wireless networks［C］//Proceedings of the 6th ACM International Symposium on Mobile Ad Hoc Networking and Computing. ACM, 2005: 46-57.
［2］BROWN T X, JAMES J E, SETHI A. Jamming and sensing of encrypted wireless ad hoc networks［C］//Proceedings of the 7th ACM International Symposium on Mobile Ad Hoc Networking and Computing. ACM, 2006: 120-130.
［3］MISHRA A, NADKARNI K, PATCHA A. Intrusion detection in wireless ad hoc networks［J］. IEEE Wireless Communications, 2004, 11(1): 48-60.
［4］COSTIN A, ZADDACH J, FRANCILLON A, et al. A large-scale analysis of the security of embedded firmwares［C］//Proceedings of USENIX Security Symposium, 2014: 95-110.
［5］BOJINOV H, BURSZTEIN E, LOVETT E, et al. Embedded management interfaces: Emerging massive insecurity［J］. BlackHat USA, 2009, 1(8): 14.
［6］CUI A, SONG Y, PRABHU P V, et al. Brave new world: Pervasive insecurity of embedded network devices［C］//International Workshop on Recent Advances in Intrusion Detection. Springer, Berlin, Heidelberg, 2009: 378-380.
［7］CUI A, STOLFO S J. A quantitative analysis of the insecurity of embedded network devices: Results of a wide-area scan［C］//Proceedings of the 26th Annual Computer Security Applications Conference. ACM, 2010: 97-106.
［8］CHEN D, WOO M, BRUMLEY D, et al. Towards automated dynamic analysis for Linux-based embedded firmware［C］//NDSS, 2016.
［9］HENIGER N, DURUMERIC Z, WUSTROW E, et al. Mining your Ps and Qs: Detection of widespread weak keys in network devices［C］//USENIX Security Symposium, 2013: 35-35.
［10］ZADDACH J, BRUNO L, FRANCILLON A, et al. AVATAR: A framework to support dynamic security analysis of embedded systems’ firmwares［C］//Network and Distributed System Security Symposium, 2014.
［11］KAMMERSTETTER M, PLATZER C, KASTNER W. PROSPECT: Peripheral proxying supported embedded code testing［C］//Proceedings of the 9th ACM Symposium on Information, Computer and Communications Security. ACM, 2014: 329-340.
［12］LI H, TONG D, HUANG K, et al. FEMU: A firmware-based emulation framework for SoC verification［C］//International Conference on Hardware/Software Codesign and System Synthesis. IEEE, 2010: 257-266.
［13］SHOSHITAISHVILI Y, WANG R, HAUSER C, et al. Firmalice—Automatic detection of authentication bypass vulnerabilities in binary firmware［C］//Network and Distributed System Security Symposium, 2015.
［14］DAVIDSON D, MOENCH B, RISTENPART T, et al. FIE on firmware: Finding vulnerabilities in embedded systems using symbolic execution［C］//USENIX Conference on Security. USENIX Association, 2013: 463-478.
［15］KRIZHEVSKY A, SUTSKEVER I, HINTON G E. ImageNet classification with deep convolutional neural networks［C］//International Conference on Neural Information Processing Systems. Curran Associates Inc. 2012: 1097-1105.
［16］SUTSKEVER I, VINYALS O, LE Q V. Sequence to sequence learning with neural networks［C］//In NIPS, 2014, 4: 3104-3112.
［17］TEGELER F, FU X, VIGNA G, et al. BotFinder: Finding bots in network traffic without deep packet inspection［C］//Proceedings of the 8th International Conference on Emerging Networking Experiments and Technologies, 2012: 349-360.
［18］MA J, SAUL L K, SAVAGE S, et al. Learning to detect malicious URLs［J］. ACM Transactions on Intelligent Systems & Technology, 2011, 2(3): 1-24.
［19］BILGE L, KIRDA E, KRUEGEL C, et al. EXPOSURE: Finding malicious domains using passive DNS analysis［C］//Network and Distributed System Security Symposium. San Diego, California, USA, 2011.
［20］WANG K, STOLFO S J. One-class training for masquerade detection［C］//IEEE Conference Data Mining Workshop on Data Mining for Computer Security, 2003: 10-19.
［21］FRANK M, BIEDERT R, MA E, et al. Touchalytics: On the applicability of touchscreen input as a behavioral biometric for continuous authentication［J］. IEEE Transactions on Information Forensics & Security, 2013, 8(1): 136-148.
［22］ZHENG N, PALOSKI A, WANG H. An efficient user verification system using angle-based mouse movement biometrics［J］. ACM Transactions on Information & System Security, 2016, 18(3): 1-27.
［23］KRUEGEL C, VIGNA G, ROBERTSON W. A multi-model approach to the detection of web-based attacks［J］. Computer Networks, 2005, 48(5): 717-738.
［24］HAI T N, FRANKE K. Adaptive Intrusion Detection System via online machine learning［C］//International Conference on Hybrid Intelligent Systems. IEEE, 2013: 271-277.
［25］PICKHOLTZ R, SCHILLING D, MILSTEIN L. Revisions to “Theory of Spread-Spectrum Communications—A Tutorial”［J］. IEEE Transactions on Communications, 1984, 32(2): 211-212.
［26］OPPERMANN I, STOICA L, RABBACHIN A, et al. UWB wireless sensor networks: UWEN—A practical example［J］. IEEE Communications Magazine, 2004, 42(12): S27-S32.
［27］GU P, HUA C, KHATOUN R, et al. Cooperative relay beamforming for control channel jamming in vehicular networks［C］//International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, 2018: 1-7.
［28］GU P, HUA C, RIDA K, et al. Cooperative anti-jamming relaying for control channel jamming in vehicular networks［J］. IEEE Transactions on Vehicular Technology, 2018.
［29］NOUBIR G. On connectivity in ad hoc networks under jamming using directional antennas and mobility［C］//Wired/Wireless Internet Communications, Second International Conference. Springer, Berlin, Heidelberg, 2004: 186-200.
［30］GU P, HUA C, KHATOUN R, et al. Cooperative relay beamforming for control channel jamming in vehicular networks［C］//International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, 2018: 1-7.
［31］RAMANATHAN R. On the performance of ad hoc networks with beamforming antennas［C］//In ACM International Symposium on Mobile Ad Hoc Network-ing and Computing (MobiHoc), 2001: 95-105.
［32］MURTHY C S R, MANOJ B S. Transport layer and security protocols for ad hoc wireless networks［M］. Ad Hoc Wireless Networks: Architectures and Protocols. Prentice Hall PTR, 2004.
［33］SPYROPOULOS A, RAGHAVENDRA C S. Energy efficient communications in ad hoc networks using directional antennas［C］//Joint Conference of the IEEE Computer and Communications Societies, 2002, 1: 220-228.
［34］TILOCA M, DE GUGLIELMO D, DINI G, et al. JAMMY: A distributed and dynamic solution to selective jamming attack in TDMA WSNs［J］. IEEE Transactions on Dependable & Secure Computing, 2017, 14(4): 392-405.
［35］DAIDONE R, DINI G, TILOCA M. A solution to the GTS-based selective jamming attack on IEEE 802.15.4 networks［J］. Wireless Networks, 2014, 20(5): 1223-1235.
［36］ZHOU G, HE T, STANKOVIC J A, et al. RID: Radio interference detection in wireless sensor networks［C］//INFOCOM 2005. Joint Conference of the IEEE Computer and Communications Societies. Proceedings IEEE. IEEE, 2005, 2: 891-901.
［37］LAW Y W, PALANISWAMI M, HOESEL L V, et al. Energy-efficient link-layer jamming attacks against wireless sensor network MAC protocols［J］. ACM Transactions on Sensor Networks (TOSN), 2009, 5(1): 6.
［38］WOOD A, STANKOVIC J A, ZHOU G. DEEJAM: Defeating energy-efficient jamming in IEEE 802.15.4-based wireless networks［C］//2007 4th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks. San Diego, CA, 2007: 60-69.
［39］RAHMAN N, WRIGHT M, LIU D. Fast and energy-efficient technique for jammed region mapping in wireless sensor networks［C］//Eprint Arxiv, 2014.
［40］WOOD A D, STANKOVIC J A, SANG H S. JAM: A jammed-area mapping service for sensor networks［C］//IEEE International Real-Time Systems Symposium. IEEE Computer Society, 2003: 286.
［41］XU W, WOOD T, TRAPPE W, et al. Channel surfing and spatial retreats: Defenses against wireless denial of service［C］//ACM Workshop on Wireless Security. ACM, 2004: 80-89.
［42］MURALEEDHARAN R, OSADCIW L A. Jamming attack detection and countermeasures in wireless sensor network using ant system［C］//Proceedings of SPIE—The International Society for Optical Engineering, 2006: 6248.
［43］PINTEA C M, POP P C. Sensitive ants for denial jamming attack on wireless sensor network［C］//International Joint Conference SOCO’13-CISIS’13-ICEUTE’13. Springer International Publishing, 2014: 409-418.
