Peer-to-peer networks’ ability to be used as the primary vector of delivery in a highly sensitive environment poses many dangers. The impacts of the hazards on security can be measured when using peer-to-peer networks in a standard computing environment. The transfer of data across multiple network data-centers exposes the system to a potential insider threat, remote control, and the possible leak of private and confidential information. In this paper, we present an analysis of peer-to-peer network security. This follows a description of existing techniques to prevent potential threats to peer-to-peer networks and finally the paper presents a proposed technique to enhance the security of peer-to-peer networks using simulation based experimental study.

An Investigation into Peer-to-Peer Network Security Using Wireshark

Detection and Management of P2P Traffic in Networks using Artificial Neural Networksa

In this age of digital computing, security is very essential. When building and implementing systems, security in distributed systems presents special issues that must be taken into account. There are various security mechanisms that are in use to mitigate these attacks. Also, it has been proven that it is more effective using machine learning and artificial intelligence in mitigation mechanisms rather than using other mitigation methods, and also today the world is moving forward with machine learning and deep learning concepts. This paper provides a wide survey of various distributed system attacks, and the mitigation methods proposed against them, also this paper provides an in-depth analysis of using machine learning and deep learning techniques in mitigating the issues and attacks faced by distributed systems. 

Security Issues and Mitigation Mechanisms in Distributed Systems

In this age of digital computing, security is very essential. When building and implementing systems, security in distributed systems presents special issues that must be taken into account. There are various security mechanisms that are in use to mitigate these attacks. Also, it has been proven that it is more effective using machine learning and artificial intelligence in mitigation mechanisms rather than using other mitigation methods, and also today the world is moving forward with machine learning and deep learning concepts. This paper provides a wide survey of various distributed system attacks, and the mitigation methods proposed against them, also this paper provides an in-depth analysis of using machine learning and deep learning techniques in mitigating the issues and attacks faced by distributed systems.

Vyom Rehani

Papers

Resolving Problems Based on Peer to Peer Network Security Issue's