Secure data acquisition in web crawlers using steganographically watermarked images
Ashok Kumar Sainiashok.saini@jaipur.manipal.eduDepartment of Computer Science & EngineeringManipal University JaipurJaipur, Rajasthan, 303007, IndiaView full profile → , Madhu Chauhanmyself_madhu26@yahoo.comDepartment of Computer ApplicationJagan Institute of Management StudiesRohini, New Delhi, Delhi, 110085, IndiaView full profile → , Sandeep Kumar Budhanisandeepbudhani13@gmail.comDepartment of Computer ApplicationGraphic Era Hill University, Bhimtal CampusBhimtal, Uttarakhand, 263132, IndiaView full profile → , Anshu Malhotraanshu@krmangalam.edu.inDepartment of Computer Science and EngineeringSchool of Engineering & TechnologyK. R. Mangalam UniversityGurugram, Haryana, 122103, IndiaView full profile → , Madan Lal Sainimadan.e13485@cumail.inDepartment of Computer Science and EngineeringApex Institute of Technology (AIT)Chandigarh UniversityMohali, Punjab, 140413, IndiaView full profile → , *Prashant VatsCorresponding authorprashant.vats@jaipur.manipal.eduDepartment of Computer Science & EngineeringManipal University JaipurJaipur, Rajasthan, 303007, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Received:
- 01 Mar 2026
- Published Online:
- 14 Aug 2026
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JDMSC-2816
- Pages:
- 3295–3303
Abstract
This paper proposes a secure web crawling framework using steganographically watermarked images. It embeds instructions covertly while ensuring authentication through watermarking. The approach provides dual-layer security, maintains image quality, and resists attacks. Results show high robustness, payload capacity, and minimal distortion, enhancing confidentiality, integrity, and reliability in large-scale web data collection.
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References
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