posted by organizer: peruhacking || 7780 views || tracked by 4 users: [display]

HACKSI 2017 : Second Digital Congress of Spanish Speaking on Hacking and Computer Security

FacebookTwitterLinkedInGoogle

Link: http://www.facebook,com/hackinginternacional
 
When Feb 25, 2017 - Feb 26, 2017
Where World
Abstract Registration Due Jan 7, 2017
Submission Deadline Jan 28, 2017
Notification Due Feb 1, 2017
Final Version Due Feb 10, 2017
Categories    hacking   forensic   security   informatics
 

Call For Papers

**Suggested Topics**

Topics of interest include, but are not limited to, the following:

0 days
GSM, GPRS and CDMA Security
IOT vulnerabilities
Wireless Security
Exploitation
IPv6 Security
Attack and Defense Techniques
Reverse Engineering
Application Security, Testing, Fuzzing
Code Auditing
Virtualization Security
Malicious Code
Databases Security
Packet Pungas
Viruses, Worms, and Trojans
e-crime, Phishing and Botnets
Malware, Crimeware, Ransonware
Banking Security
Phreaking
Hardware hacking
Cryptography
Forensics & AntiForensics

**type**


Full length talks (60 minutes)

Related Resources

ICCDC 2026   2026 2nd International Conference on Computer Technology, Digital Media and Communication
ICSS 2026   12th International Conference on Software Security
IJCSITCE 2026   The International Journal of Computational Science, Information Technology and Control Engineering
AVC 2026   Advances in Vision Computing: An International Journal
3CVIP 2027   2027 6th Asia Conference on Cloud Computing, Computer Vision and Image Processing (3CVIP 2027)
SPT 2026   3rd International Conference on Signal Processing Trends
IJCGA 2026   International Journal of Computer Graphics & Animation
Cyberfare State and Digital Governance 2026   Cyberfare State and Digital Governance: Security, Control and Resilience in the Digital Age
Future Foods Congress 2027   Future Foods Congress 2027: Shaping Future Food Systems through Sustainability and Digital Innovation
IEEE-CACML 2027   2027 IEEE 6th Asia Conference on Algorithms, Computing and Machine Learning (CACML 2027)