Dr. Chandrashekhar Uppin

Dynamic analysis of a window-based malware using automated sandboxing

• Authors Details :  
• Chandrashekhar Uppin

178 Views Original Article

Malwares are one of the most dangerous security threats in today’s world of fast growing technology. Now, it is not impossible to remotely lock down a system’s files for ransoms even when it is located overseas. This threat was accelerated when the world was introduced to cryptocurrency (for e.g., Bitcoins). It allowed the attackers to hide their tracks more efficiently. From a simple idea of testing the efficiency of a computer system to the most critical and sophisticated cyber-attack, malwares has evolved over the years and appeared time to time. Even with the smartest technologies today where we are trying to include Machine learning and Deep learning to every field of our life, the attackers are already developing more sophisticated malwares using the same Machine learning and Deep learning techniques. This raises the question on the security of the cyber-world and how we are able to protect it. In this work, we are presenting an analysis on a recent and most critical Windows malware called “LockerGoga”. Both static and dynamic analyses are performed on the malware to understand the behavior and characteristics of the malware.

Article Subject Details

• Artificial Intelligence
• Computer Science
• Computer Science Applications
• Information technology
• Research

Article Keywords Details

• Cryptocurrency
• Deep learning
• LockerGoga
• Machine learning
• Static and dynamic analyses.
• Malwares

Article File

Full Text PDF

---

---

---

More Article by Dr. Chandrashekhar Uppin