Sadeghpour S and Vlajic N. RanABD: MTD-Based Technique for Detection of Advanced Session-Replay Web Bots. Proceedings of the 10th ACM Workshop on Moving Target Defense. (17-23).

Ghasemisharif M and Polakis J. Read Between the Lines: Detecting Tracking JavaScript with Bytecode Classification. Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security. (3475-3489).

Sadeghpour S and Vlajic N. (2023). RanABD: Web Page Randomization for Advanced Web-Bot Detection 2023 7th Cyber Security in Networking Conference (CSNet). 10.1109/CSNet59123.2023.10339779. 979-8-3503-4287-1. (81-86).

https://ieeexplore.ieee.org/document/10339779/

Yan Y, Zheng Y, Liu X, Medvidovic N and Wang W. (2023). Adhere: Automated Detection and Repair of Intrusive Ads 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE). 10.1109/ICSE48619.2023.00051. 978-1-6654-5701-9. (486-498).

https://ieeexplore.ieee.org/document/10172610/

Kim I, Wang W, Kwon Y and Zhang X. (2023). BFTDETECTOR: Automatic Detection of Business Flow Tampering for Digital Content Service 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE). 10.1109/ICSE48619.2023.00048. 978-1-6654-5701-9. (448-459).

https://ieeexplore.ieee.org/document/10172893/

Lin S, Chou K, Chen Y, Hsiao H, Cassel D, Bauer L and Jia L. Investigating Advertisers’ Domain-changing Behaviors and Their Impacts on Ad-blocker Filter Lists. Proceedings of the ACM Web Conference 2022. (576-587).

https://doi.org/10.1145/3485447.3512218

Zhu S, Wang Z, Chen X, Li S, Man K, Iqbal U, Qian Z, Chan K, Krishnamurthy S, Shafiq Z, Hao Y, Li G, Zhang Z and Zou X. Eluding ML-based Adblockers With Actionable Adversarial Examples. Proceedings of the 37th Annual Computer Security Applications Conference. (541-553).

https://doi.org/10.1145/3485832.3488008

Smith M, Snyder P, Livshits B and Stefan D. SugarCoat: Programmatically Generating Privacy-Preserving, Web-Compatible Resource Replacements for Content Blocking. Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security. (2844-2857).

https://doi.org/10.1145/3460120.3484578

Web Bot Detection System Based on Divisive Clustering and K-Nearest Neighbor Using Biostatistics Features Set. International Journal of Digital Crime and Forensics. 10.4018/IJDCF.302136. 13:6. (0-0).

http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJDCF.302136

Snyder P, Vastel A and Livshits B. (2020). Who Filters the Filters. Proceedings of the ACM on Measurement and Analysis of Computing Systems. 4:2. (1-24). Online publication date: 9-Jun-2020.

https://doi.org/10.1145/3392144

Naderi-Afooshteh A, Kwon Y, Nguyen-Tuong A, Bagheri-Marzijarani M and Davidson J. Cubismo. Proceedings of the 35th Annual Computer Security Applications Conference. (430-443).

https://doi.org/10.1145/3359789.3359821

Alrizah M, Zhu S, Xing X and Wang G. Errors, Misunderstandings, and Attacks. Proceedings of the Internet Measurement Conference. (230-244).

https://doi.org/10.1145/3355369.3355588

Zhu S, Iqbal U, Wang Z, Qian Z, Shafiq Z and Chen W. ShadowBlock: A Lightweight and Stealthy Adblocking Browser. The World Wide Web Conference. (2483-2493).

https://doi.org/10.1145/3308558.3313558

Wang W, Kwon Y, Zheng Y, Aafer Y, Kim I, Lee W, Liu Y, Meng W, Zhang X and Eugster P. PAD: programming third-party web advertisement censorship. Proceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering. (240-251).

/doi/10.5555/3155562.3155596

Wang W, Kwon Y, Zheng Y, Aafer Y, Kim I, Lee W, Liu Y, Meng W, Zhang X and Eugster P. (2017). PAD: Programming third-party web advertisement censorship 2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE). 10.1109/ASE.2017.8115637. 978-1-5386-2684-9. (240-251).

http://ieeexplore.ieee.org/document/8115637/