Abstract
Most existing approaches for solving the distributed denial-of-service (DDoS) problem focus on specific security mechanisms, for example, network intrusion detection system (NIDS) detection and firewall configuration, rather than on the packet routing approaches to defend DDoS threats by new flow management techniques. To defend against DDoS attacks, the present study proposes a modified particle swarm optimization (PSO) scheme based on an IP traceback (IPTBK) technique, designated as PSO-IPTBK, to solve the IP traceback problem. Specifically, this work focuses on analyzing the detection of DDoS attacks to predict the possible attack routes in a distributed network. In the proposed approach, the PSO-IPTBK identifies the source of DDoS attacks by reconstructing the probable attack routes from collected network packets. The performance of the PSO-IPTBK algorithm in reconstructing the attack route was investigated through a series of simulations using OMNeT++ 5.5.1 and the INET 4 Framework. The results show that the proposed scheme can determine the most possible route between the attackers and the victim to defend DDoS attacks.
Highlights
Mobile devices and internet of things (IoT) devices with wireless sensing technologies for cloud appliances have improved the convenience of our daily lives, they pose a threat to network attacks
The simulations were performed an Intel Dual core CPU 3.0G, DDR3 2G of RAM, and the Ubuntu Desktop 18.04.3 LTS operating using a PC with an Intel Dual core CPU 3.0G, DDR3 2G of RAM, and the Ubuntu Desktop 18.04.3 system associated with OMNeT++ 5.5.1 and the INET 4 Framework
OMNeT++ is an modular, component-based C++ simulation library and framework, primarily used for building network extensible, modular, component-based C++ simulation library and framework, primarily used for simulators which create a network of virtual hosts, switches, controllers, and links
Summary
Mobile devices and internet of things (IoT) devices with wireless sensing technologies for cloud appliances have improved the convenience of our daily lives, they pose a threat to network attacks. The IPTBK problem is not a trivial problem in large-scale network topologies, in which the aim is to attain a set of feasible solutions within polynomial-time under certain constraints, e.g., a limitation on the number of nodes within the topology Problems of this type are most commonly solved using heuristic artificial intelligence algorithms such as ant colony optimization (ACO), genetic algorithms (GAs), PSO (particle swarm optimization), simulated annealing (SA), tabu search (TS), and evolutionary algorithms (EAs). To identify the most probable attack route for assisting the defenders’ design of DoS attack resistant systems, and a new tracing route-based IP traceback model with a revised PSO scheme by reconstructing the collected network packets to defend DDoS attacks.
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