LGTBIDS: Layer-Wise Graph Theory-Based Intrusion Detection System in Beyond 5G
نویسندگان
چکیده
The advancement in wireless communication technologies is becoming more demanding and pervasive. One of the fundamental parameters that limit efficiency network are security challenges. vulnerable to attacks such as spoofing signal strength attacks. Intrusion detection signifies a central approach ensuring network. In this paper, an Detection System based on framework graph theory proposed. A Layerwise Graph Theory-Based (LGTBIDS) algorithm designed detect attacked node. performs layer-wise analysis extract nodes ultimately node(s). For each layer, every node scanned for possibility susceptible strategy IDS energy secrecy rate. with rate beyond range upper lower thresholds detected under attack. Further, node(s) transmitted random sequence bits followed by process re-authentication. obtained results validate better performance, low time computations, complexity. Finally, proposed compared conventional solution intrusion detection.
منابع مشابه
Multi-Layer Bayesian Based Intrusion Detection System
In this paper a multi-layer Bayesian based intrusion detection system is developed. The system is trained a priori using a subset of the KDD dataset. The trained classifier is then tested using a larger subset of KDD dataset. The Bayesian classifier was able to detect intrusion with detection rate that is superior to most published results. Index Terms Intrusion Detection – Bayesian Filter – KD...
متن کاملAdaptive Association Rule Mining Based Cross Layer Intrusion Detection System
Mobile ad-hoc wireless networks (MANET) are a significant area of research with many applications. MANETs are more vulnerable to malicious attack. Authentication and encryption techniques can be used as the first line of defense for reducing the possibilities of attacks. Alternatively, these approaches have several demerits and designed for a set of well known attacks. This paper proposes a cro...
متن کاملGrIDS{A GRAPH BASED INTRUSION DETECTION SYSTEM FOR LARGE NETWORKS
There is widespread concern that large-scale malicious attacks on computer networks could cause serious disruption to network services. We present the design of GrIDS (Graph-Based Intrusion Detection System). GrIDS collects data about activity on computers and network tra c between them. It aggregates this information into activity graphs which reveal the causal structure of network activity. T...
متن کاملThe Design of GrIDS: A Graph-Based Intrusion Detection System
This report documents the design of the Graph-based Intrusion Detection System (GrIDS) in reasonable detail. It is intended as a guide to people who wish to understand the implementation, or who have more detailed questions about the design than are addressed elsewhere. GrIDS is a prototype intrusion detection system that was designed to explore the issues involved in doing large scale aggregat...
متن کاملGoing Beyond Behavior-Based Intrusion Detection
Today's Intrusion Detection (ID) ideas focus on two solutions: detecting intrusions based on known vulnerabilities and detecting anomalies in the normal " behavior " in a particular system, be it the network or the host. Although not immune from false-positives or true-negatives, these systems do a lot for ID, but the damage from unknown attacks is more substantial as people deploy these system...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Network and Service Management
سال: 2023
ISSN: ['2373-7379', '1932-4537']
DOI: https://doi.org/10.1109/tnsm.2022.3197921