Increasing number of digital crime raises the need of investigation where the most critical
step is to collect the evidences of attack and find the real origin of the attack. However the …

Locating sources of distributed attack is time‐consuming; attackers are identified long after
the attack is completed. This paper proposes a trackback model for identifying attackers and …

Abstract Probabilistic Packet Marking algorithm suggests a methodology to identify all the
participated routers of the attack path by probabilistically marking the packets. In this …

With the advent of the Internet of Things (IoT), there are also major information security risks
hidden behind them. There are major information security risks hidden behind them …

Distributed Denial of Service (DDoS) attack is an unavoidable attack. Among various attacks
on the network, DDoS attacks are difficult to detect because of IP spoofing. The IP traceback …

Abstract Denial of Service (DoS) attack is creating a major problem to the internet security.
Probabilistic Packet Marking (PPM) algorithm suggested a methodology to overcome the …

Anomalous traffic volume can be used for identifying network threats and faults. Denial of
service (DoS) and quality of service (QoS) are two contrasting problems of anomalous …

Background: Distributed Denial of Service (DDoS) attack is a major threat over the internet.
The IP traceback mechanism defends against DDoS attacks by tracing the path traversed by …

IP Spoofing is the concern of security in which IP addresses get compromised and attacker
will use it to perform DOS attack. Thus, filtering of packets and providing security so that only …

In the paper, we propose the distributed detection and identification multi-agent system
(DDIMAS) framework that is the first attempt to apply in solving distributed denial of service …