[1]Dingledine R, Mathewson N, Syverson P. Tor: The secondgeneration onion router[C] Proc of the 13th USENIX Security Symposium. Berkeley, CA: USENIX Association, 2004: 303319[2]Wang Tao, Cai Xiang, Nithyanand R, et al. Effective attacks and provable defenses for website fingerprinting[C] Proc of the 23rd USENIX Security Symposium. Berkeley, CA: USENIX Association, 2014: 143157[3]Panchenko A, Lanze F, Zinnen A, et al. Website fingerprinting at internet scale[C] Proc of the 23rd NDSS Symposium. San Diego, CA: ISOC, 2016[4]Hayes J, Danezis G. kfingerprinting: A robust scalable website fingerprinting technique[C] Proc of the 25th USENIX Security Symposium. Berkeley, CA: USENIX Association, 2016: 11871203[5]Sirinam P, Imani M, Juarez M, et al. Deep fingerprinting: Undermining website fingerprinting defenses with deep learning[C] Proc of the 2018 ACM SIGSAC Conf on CCS. New York: ACM, 2018: 19281943[6]Rahman M, Sirinam P, Mathews N, et al. TikTok: The utility of packet timing in website fingerprinting attacks[C] Proc of the 20th PETS. Berlin: De Gruyter, 2020: 524[7]喻晓伟, 陈丹伟. 基于注意力机制的图神经网络加密流量分类研究[J]. 信息安全研究, 2023, 9(1): 1319[8]Holland J, Hopper N. RegulaTor: A straightforward website fingerprinting defense[C] Proc of the 22nd PETS. Berlin: De Gruyter, 2022: 344362[9]Juarez M, Imani M, Perry M, et al. Toward an efficient website fingerprinting defense[C] Proc of the 21st ESORICS. Berlin: Springer, 2016: 2746[10]Cadena W, Mitseva A, Hiller J, et al. TrafficSliver: Fighting website fingerprinting attacks with traffic splitting[C] Proc of the 2020 ACM SIGSAC Conf on CCS. New York: ACM, 2020: 19711985[11]Mathews N, Sirinam P, Wright M. Understanding feature discovery in website fingerprinting attacks[C] Proc of the 2018 IEEE Western New York Image and Signal Processing Workshop. Piscataway, NJ: IEEE, 2018: 15[12]Pulls T. Towards effective and efficient padding machines for Tor[J]. arXiv preprint, arXiv:2011.13471, 2020[13]Wang Tao. High precision openworld website fingerprinting[C] Proc of the 41st IEEE Symp on S&P. Piscataway, NJ: IEEE, 2020: 152167[14]Li Shuai, Guo Huajun, Hopper N. Measuring information leakage in website fingerprinting attacks and defenses[C] Proc of the 2018 ACM SIGSAC Conf on CCS. New York: ACM, 2018: 19771992[15]Wang Tao. The onepage setting: A higher standard for evaluating website fingerprinting defenses[C] Proc of the 2021 ACM SIGSAC Conf on CCS. New York: ACM, 2021: 27942806 |