Defending Against Cyber Threats: Analyzing Challenges and Security Frameworks
DOI:
https://doi.org/10.32628/CSEIT25112821Keywords:
automated security, cybercrime, cyberdefense, high-tech threats, high-tech attacksAbstract
Cybersecurity plays a crucial role in the digital news industry. One of the key challenges in today’s competitive landscape is ensuring the security of news content. The increasing prevalence of cybercrimes is a major concern whenever digital protection is considered. Without robust security measures, critical assets such as plans, confidential files, and other essential data remain vulnerable. Every organization, whether an IT company or a non-technical business, requires equal protection. Attackers continuously evolve their tactics, leveraging advanced and sophisticated techniques to exploit vulnerabilities across various industries. Given the vast amounts of data stored and utilized by sectors such as defense, government, commerce, healthcare, and social services, digital security is of utmost importance. Sensitive information, including business records, classified intelligence, proprietary innovations, and personal data, must be safeguarded to prevent unauthorized access, which could lead to severe consequences.
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Pandya, D., Jadeja, A., Khan, M.A., Trivedi, S.B., Ramnath, M.A., Satish, B.P. (2024). Significance of Sentiment Analysis with Text-Based Mining Approach. In: Rathore, V.S., Piuri, V., Babo, R., Tiwari, V. (eds) Emerging Trends in Expert Applications and Security. ICE-TEAS 2024. Lecture Notes in Networks and Systems, vol 1037. Springer, Singapore. https://doi.org/10.1007/978-981-97-3991-2_27 .
Gaur, S., Sharma, L., Pandya, D.D. (2019). A Perception of ICT for Social Media Marketing in India. In: Peng, SL., Dey, N., Bundele, M. (eds) Computing and Network Sustainability. Lecture Notes in Networks and Systems, vol 75. Springer, Singapore. https://doi.org/10.1007/978-981-13-7150-9_52
Dr. Darshanaben Dipakkumar Pandya, Dr. Abhijeetsinh Jadeja, Dr. Sheshang D. Degadwala, " An Applied N C Differentiation Interpolation technique for improved random Anomalous values in Data Mining, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 9, Issue 2, pp.86-92, March-April-2022. Available at doi : https://doi.org/10.32628/IJSRSET229218
Prajapati, D. A., Pandya, D. D., Patel, R. K., & Jadeja, A. (2022). A Perception of Promotional Code Technique in E-commerce that uses Data Analytics and Data Mining for Consumer Response. International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), 8(5), 130-135. Available at: https://doi.org/10.32628/CSEIT2283320
Yash Naraynbhai Patel, Dr. Darshanaben Dipakkumar Pandya, Dr. Abhijeetsinh Jadeja, " An Influence of Ethical Hacking in Civilization , International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 10, Issue 1, pp.195-200, January-February-2023. Available at doi : https://doi.org/10.32628/IJSRST2310119
S. Degadwala, D. Vyas, A. Jadeja and D. D. Pandya, "Enhancing Alzheimer Stage Classification of MRI Images through Transfer Learning," 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India, 2023, pp. 733-737, doi: 10.1109/ICIRCA57980.2023.10220651
Srikanth Yerra, “The Role of Azure Data Lake in Scalable and High-Performance Supply Chain Analytics,” International Journal of Scientific Research in Computer Science Engineering and Information Technology, vol. 11, no. 1, pp. 3668–3673, Feb. 2025, doi: https://doi.org/10.32628/cseit25112483.
Mansi Luhariya, Thakor Harshikaben, Dr. Darshanaben Dipakkumar Pandya, Dr. Abhijeetsinh Jadeja, " Advances and Obstacles in Reinforcement Learning : Unleashing AI's Potential, Practical Implementations, and the Roadmap for the Future , International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 11, Issue 1, pp.94-100, January-February-2024. Available at doi : https://doi.org/10.32628/IJSRST1241119
Pandya, D., Jadeja, A., Khan, M.A., Trivedi, S.B., Ramnath, M.A., Satish, B.P. (2024). Significance of Sentiment Analysis with Text-Based Mining Approach. In: Rathore, V.S., Piuri, V., Babo, R., Tiwari, V. (eds) Emerging Trends in Expert Applications and Security. ICE-TEAS 2024. Lecture Notes in Networks and Systems, vol 1037. Springer, Singapore. https://doi.org/10.1007/978-981-97-3991-2_27
Pandya, D., Jadeja, A., Gour, S., Trivedi, S.B., Patel, H.H., Jadeja, P.U. (2024). An Analytical Perspective of Missing Values in Machine Learning. In: Rathore, V.S., Piuri, V., Babo, R., Tiwari, V. (eds) Emerging Trends in Expert Applications and Security. ICE-TEAS 2024. Lecture Notes in Networks and Systems, vol 1037. Springer, Singapore. https://doi.org/10.1007/978-981-97-3991-2_24
Pandya, D., Jadeja, A., Bhuptani, M., Patel, V., Mehta, K., & Brahmbhatt, D. (2024). Machine Learning: Enhancing Cybersecurity through Attack Detection and Identification. ITM Web of Conferences, 65, 03010. https://doi.org/10.1051/itmconf/20246503010
Gaur, S., Pandya, D.D., Soni, D. (2020). Closest Fit Approach Through Linear Interpolation to Recover Missing Values in Data Mining. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Fourth International Congress on Information and Communication Technology. Advances in Intelligent Systems and Computing, vol 1041. Springer, Singapore. https://doi.org/10.1007/978-981-15-0637-6_44
Dr. Darshanaben Dipakkumar Pandya, Dr. Abhijeetsinh Jadeja, Dr. Sheshang D. Degadwala, " N B Interpolation Technique for Improved Arbitrarily missing values in Data Mining, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 9, Issue 2, pp.79-85, March-April-2022. Available at doi : https://doi.org/10.32628/IJSRSET229217
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