Intrusion detection is a critical aspect of network security to protect computer systems from
unauthorized access and attacks. The capacity of traditional intrusion detection systems …

The evolution and expansion of IoT devices reduced human efforts, increased resource
utilization, and saved time; however, IoT devices create significant challenges such as lack …

In the age of sophisticated cyber threats, botnet detection remains a crucial yet complex
security challenge. Existing detection systems are continually outmaneuvered by the …

Long gone is the time when people preferred using only cash. In recent years, cashless
transactions have gained much popularity, be it using UPI apps or credit and debit cards …

With the growth and development of Internet and wireless communication, Internet-of-Things
(IoT) has become a prominent technology for smart devices. In general, IoT systems are …

Abstract Peer-to-peer (P2P) botnet is one of the greatest threats to digital data. It has
become a common tool for performing a lot of malicious activities such as DDoS attacks …

In the virtual world, most of the cyber-attacks are done by Botnet. The Botnet is one of the
most versatile threats because it can be controlled from a remote place. Most of the existing …

Botnet detection develops a challenging problem in numerous fields such as order,
cybersecurity, law, finance, healthcare, and so on. The botnet signifies the group of co …

This paper proposes deep convolution neural network-based malware classification
approach. The proposed work is a transfer learning approach, where we have developed …

The impact of cyber-attacks on organizational and private networks has been significant,
causing extensive damage and posing serious threats to cybersecurity. This is largely due to …