ARCHIVES
Original Article
Crystal shield Email Attachment Protection System
Aslin J A1
Dr. F. Ramesh Dhanaseelan2
Dr. M. Jeya Sutha3
1Department of Computer Applications. St. Xavier’s Catholic College of Engineering, Chunkankadai, Nagercoil, Tamilnadu, India. 2Professor, Department of Computer Applications. St. Xavier’s Catholic College of Engineering, Chunkankadai, Nagercoil, Tamilnadu, India. 3Associate Professor, Department of Computer Applications. St. Xavier’s Catholic College of Engineering, Chunkankadai, Nagercoil, Tamilnadu, India.
Published Online: July-August 2025
Pages: 07-11
Cite this article
↗ https://www.doi.org/10.59256/ijire.20250604002
References
1. Balzer, R., “Assuring the safety of opening email attachments,” in Proc. DARPA Inf. Survivability Conf. Expo. II, 2001, pp. 257–
262.
2. Bhattacharyya, M., S. Hershkop, and E. Eskin, “MET: An experimental system for malicious email tracking,” in Proc. ACM Workshop
New Secur. Paradigms, New York, NY, USA, 2002, Art. no. 3.
3. Calyptix, DNC Hacks: How Spear Phishing Emails Were Used, 2016. [Online]. Available: http://www.calyptix.com/top-threats/dnc-
hacks-howspear- phishing-emails-were-used/
4. CVE-2020–6819, 2022. [Online]. Available: https://www.cve.org/CVERecord?id=CVE-2020--6819
5. Cranor, L. F., “Can phishing be foiled?,” Sci. Amer., vol. 299, no. 6, pp. 104–110, 2008.
6. CWE-416, Use-after-free, 2022. [Online]. Available: https://cwe.mitre.org/data/definitions/416.html
7. Dodge Jr., R. C., C. Carver, and A. J. Ferguson, “Phishing for user security awareness,” Comput. Secur., vol. 26, no. 1, pp. 73–80, 2007.
8. Dong-Her, S., C. Hsiu-Sen, C. Chun-Yuan, and B. Lin, “Internet security: Malicious e-mails detection and protection,” Ind. Manage.
Data Syst., vol. 104, no. 7, pp. 613–623, 2004.
9. Duman, S., K. Kalkan-Cakmakci, M. Egele, W. Robertson, and E. Kirda, “EmailProfiler: Spearphishing filtering with header and
stylometric features of emails,” in Proc. IEEE 40th Annu. Comput. Softw. Appl. Conf., 2016, pp. 408– 416.
10. FBI, Business email compromise, 2022. [Online]. Available: https://www.fbi.gov/how-we-can-help-you/safety-
resources/scamsand- safety/common-scams-and-crimes/business-email-compromise
11. FBI, Spoofing and phishing, 2022. [Online]. Available: https://www.fbi.gov/how-we-can-help-you/safety-resources/scams-
andsafety/common-scams-and-crimes/spoofing-and-phishing
12. Goel, S., K. Williams, and E. Dincelli, “Got phished? Internet security and human vulnerability,” J. Assoc. Inf. Syst., vol. 18, no. 1,
2017, Art. no. 2.
13. Hopper, I., “Destructive ‘ILOVEYOU’ computer virus strikes worldwide,” CNN Interactive Technol., 2000. [Online]. Available:
https://edition.cnn.com/2000/TECH/computing/05/04/iloveyou.01/
14. Laskov, P. and Šrndi´c, N., “Static detection of malicious Javascript- bearing PDF documents,” in Proc. ACM 27th Annu. Comput.
Secur. Appl. Conf., 2011, pp. 373–382.
15. Liu, D., H. Wang, and A. Stavrou, “Detecting Malicious Javascript in PDF through Document Instrumentation,” in Proc. IEEE/IFIP
44th Annu. Int. Conf. Dependable Syst. Netw., 2014, pp. 100–111.
16. Maiorca, D., I. Corona, and G. Giacinto, “Looking at the bag is not enough to find the bomb: An evasion of structural methods for
malicious PDF files detection,” in Proc. 8th ACM SIGSAC Symp. Inf. Comput. Commun. Secur., 2013, pp. 119–130.
17. Muniandy, L., “Phishing: Educating the Internet users - a practical approach using email screen shots,” IOSR J. Res. Method Educ.,
vol. 2, no. 3,pp. 33–41, 2013.
18. Oliveira, D., et al., “Dissecting spear phishing emails for older versus young adults: On the interplay of weapons of influence and life
domains in predicting susceptibility to phishing,” in Proc. ACM CHI Conf. Hum. Factors Comput. Syst., ser. CHI ’17. New York,
NY, USA, 2017, pp. 6412–6424. [Online]. Available: http://doi.acm.org/10.1145/3025453.3025831
19. Rudd, E. M., R. Harang, and J. Saxe, “MEADE: Towards a malicious email attachment detection engine,” in Proc. IEEE Int. Symp.
Technol. Homeland Secur., 2018, pp. 1–7.
20. Schultz, M. G., E. Eskin, E. Zadok, M. Bhattacharyya, and S. Stolfo, “MEF: Malicious email filter: A UNIX mail filter that detects
malicious windows executables,” in Proc. USENIX Annu. Tech. Conf. - FREENIX Track, Boston, MA, USA, Jun. 2001.
21. Smutz, C. and Stavrou, A., “Malicious PDF detection using metadata and structural features,” in Proc. ACM 28th Annu. Comput. Secur.
Appl. Conf., 2012, pp. 239–248.
22. Stolfo, S., S. Hershkop, K. KeWang, and O. Nimeskern, “EMT/MET: Systems for modeling and detecting errant email,” in Proc.
DARPA Inf. Survivability Conf. Expo., 2003, pp. 290–295.
23. TrendLabsSM, APT, “Spear-phishing email: Most favored apt attack bait,” Trend Micro, 2012.
[Online]. Available: http://www.trendmicro.com.au/cloud-content/us/pdfs/security- intelligence/white-papers/wp-spear-phishing-
email-most-favored-apt-attack- bait.pdf
24. Šrndi´c, N. and Laskov, P., “Detection of malicious PDF files based on hierarchical document structure,” in Proc. 20th Annu. Netw.
Distrib. Syst. Secur. Symp., 2013, pp. 1–16.
262.
2. Bhattacharyya, M., S. Hershkop, and E. Eskin, “MET: An experimental system for malicious email tracking,” in Proc. ACM Workshop
New Secur. Paradigms, New York, NY, USA, 2002, Art. no. 3.
3. Calyptix, DNC Hacks: How Spear Phishing Emails Were Used, 2016. [Online]. Available: http://www.calyptix.com/top-threats/dnc-
hacks-howspear- phishing-emails-were-used/
4. CVE-2020–6819, 2022. [Online]. Available: https://www.cve.org/CVERecord?id=CVE-2020--6819
5. Cranor, L. F., “Can phishing be foiled?,” Sci. Amer., vol. 299, no. 6, pp. 104–110, 2008.
6. CWE-416, Use-after-free, 2022. [Online]. Available: https://cwe.mitre.org/data/definitions/416.html
7. Dodge Jr., R. C., C. Carver, and A. J. Ferguson, “Phishing for user security awareness,” Comput. Secur., vol. 26, no. 1, pp. 73–80, 2007.
8. Dong-Her, S., C. Hsiu-Sen, C. Chun-Yuan, and B. Lin, “Internet security: Malicious e-mails detection and protection,” Ind. Manage.
Data Syst., vol. 104, no. 7, pp. 613–623, 2004.
9. Duman, S., K. Kalkan-Cakmakci, M. Egele, W. Robertson, and E. Kirda, “EmailProfiler: Spearphishing filtering with header and
stylometric features of emails,” in Proc. IEEE 40th Annu. Comput. Softw. Appl. Conf., 2016, pp. 408– 416.
10. FBI, Business email compromise, 2022. [Online]. Available: https://www.fbi.gov/how-we-can-help-you/safety-
resources/scamsand- safety/common-scams-and-crimes/business-email-compromise
11. FBI, Spoofing and phishing, 2022. [Online]. Available: https://www.fbi.gov/how-we-can-help-you/safety-resources/scams-
andsafety/common-scams-and-crimes/spoofing-and-phishing
12. Goel, S., K. Williams, and E. Dincelli, “Got phished? Internet security and human vulnerability,” J. Assoc. Inf. Syst., vol. 18, no. 1,
2017, Art. no. 2.
13. Hopper, I., “Destructive ‘ILOVEYOU’ computer virus strikes worldwide,” CNN Interactive Technol., 2000. [Online]. Available:
https://edition.cnn.com/2000/TECH/computing/05/04/iloveyou.01/
14. Laskov, P. and Šrndi´c, N., “Static detection of malicious Javascript- bearing PDF documents,” in Proc. ACM 27th Annu. Comput.
Secur. Appl. Conf., 2011, pp. 373–382.
15. Liu, D., H. Wang, and A. Stavrou, “Detecting Malicious Javascript in PDF through Document Instrumentation,” in Proc. IEEE/IFIP
44th Annu. Int. Conf. Dependable Syst. Netw., 2014, pp. 100–111.
16. Maiorca, D., I. Corona, and G. Giacinto, “Looking at the bag is not enough to find the bomb: An evasion of structural methods for
malicious PDF files detection,” in Proc. 8th ACM SIGSAC Symp. Inf. Comput. Commun. Secur., 2013, pp. 119–130.
17. Muniandy, L., “Phishing: Educating the Internet users - a practical approach using email screen shots,” IOSR J. Res. Method Educ.,
vol. 2, no. 3,pp. 33–41, 2013.
18. Oliveira, D., et al., “Dissecting spear phishing emails for older versus young adults: On the interplay of weapons of influence and life
domains in predicting susceptibility to phishing,” in Proc. ACM CHI Conf. Hum. Factors Comput. Syst., ser. CHI ’17. New York,
NY, USA, 2017, pp. 6412–6424. [Online]. Available: http://doi.acm.org/10.1145/3025453.3025831
19. Rudd, E. M., R. Harang, and J. Saxe, “MEADE: Towards a malicious email attachment detection engine,” in Proc. IEEE Int. Symp.
Technol. Homeland Secur., 2018, pp. 1–7.
20. Schultz, M. G., E. Eskin, E. Zadok, M. Bhattacharyya, and S. Stolfo, “MEF: Malicious email filter: A UNIX mail filter that detects
malicious windows executables,” in Proc. USENIX Annu. Tech. Conf. - FREENIX Track, Boston, MA, USA, Jun. 2001.
21. Smutz, C. and Stavrou, A., “Malicious PDF detection using metadata and structural features,” in Proc. ACM 28th Annu. Comput. Secur.
Appl. Conf., 2012, pp. 239–248.
22. Stolfo, S., S. Hershkop, K. KeWang, and O. Nimeskern, “EMT/MET: Systems for modeling and detecting errant email,” in Proc.
DARPA Inf. Survivability Conf. Expo., 2003, pp. 290–295.
23. TrendLabsSM, APT, “Spear-phishing email: Most favored apt attack bait,” Trend Micro, 2012.
[Online]. Available: http://www.trendmicro.com.au/cloud-content/us/pdfs/security- intelligence/white-papers/wp-spear-phishing-
email-most-favored-apt-attack- bait.pdf
24. Šrndi´c, N. and Laskov, P., “Detection of malicious PDF files based on hierarchical document structure,” in Proc. 20th Annu. Netw.
Distrib. Syst. Secur. Symp., 2013, pp. 1–16.
Related Articles
2025
Iot-Based Power Theft Detector
2025
Comparative Analysis of Conventional and Diagrid Structural Buildings with Plan Irregularity
2025
The Role of C Language in Google, Adobe, and Mozilla Firefox Applications: Performance, Security, and Future Developments
2025
Seismic Analysis of Circular Building and Rectangular Building
2025
Seismic analysis of double-decker elevated water tank
2025
