Nothing Special   »   [go: up one dir, main page]

Kumar et al., 2024 - Google Patents

Detection and prevention of DDoS attacks on edge computing of IoT devices through reinforcement learning

Kumar et al., 2024

View PDF
Document ID
3814453611307928945
Author
Kumar A
Singh D
Publication year
Publication venue
International Journal of Information Technology

External Links

Snippet

The limited resource and computation capacity of an IoT device always being a target vector for intruders to use to steal sensitive data from the device. Computational problems were later solved by the engineers by introducing an edge server near the IoT device network …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
    • H04L63/1408—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
    • H04L63/1416—Event detection, e.g. attack signature detection
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
    • H04L63/1441—Countermeasures against malicious traffic
    • H04L63/1458—Denial of Service
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
    • H04L63/1408—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
    • H04L63/1425—Traffic logging, e.g. anomaly detection
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
    • H04L63/1441—Countermeasures against malicious traffic
    • H04L63/145—Countermeasures against malicious traffic the attack involving the propagation of malware through the network, e.g. viruses, trojans or worms
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/50—Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
    • G06F21/55—Detecting local intrusion or implementing counter-measures
    • G06F21/56—Computer malware detection or handling, e.g. anti-virus arrangements
    • G06F21/562—Static detection
    • G06F21/563—Static detection by source code analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/50—Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
    • G06F21/55—Detecting local intrusion or implementing counter-measures
    • G06F21/552—Detecting local intrusion or implementing counter-measures involving long-term monitoring or reporting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/50—Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
    • G06F21/55—Detecting local intrusion or implementing counter-measures
    • G06F21/554—Detecting local intrusion or implementing counter-measures involving event detection and direct action
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
    • H04L63/1433—Vulnerability analysis
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/02—Network architectures or network communication protocols for network security for separating internal from external traffic, e.g. firewalls
    • H04L63/0209—Architectural arrangements, e.g. perimeter networks or demilitarized zones
    • H04L63/0218—Distributed architectures, e.g. distributed firewalls
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/50—Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
    • G06F21/57—Certifying or maintaining trusted computer platforms, e.g. secure boots or power-downs, version controls, system software checks, secure updates or assessing vulnerabilities
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/20—Network architectures or network communication protocols for network security for managing network security; network security policies in general

Similar Documents

Publication Publication Date Title
Kumar et al. Detection and prevention of DDoS attacks on edge computing of IoT devices through reinforcement learning
Zaman et al. Security threats and artificial intelligence based countermeasures for internet of things networks: a comprehensive survey
Heidari et al. Internet of Things intrusion detection systems: a comprehensive review and future directions
Wang et al. A survey on digital twins: Architecture, enabling technologies, security and privacy, and future prospects
Jayalaxmi et al. DeBot: A deep learning-based model for bot detection in industrial internet-of-things
Strecker et al. An analysis of IoT cyber security driven by machine learning
Chowdhury et al. A novel insider attack and machine learning based detection for the internet of things
Prajisha et al. An efficient intrusion detection system for MQTT-IoT using enhanced chaotic salp swarm algorithm and LightGBM
Aldowah et al. Trust in iot systems: a vision on the current issues, challenges, and recommended solutions
Vignesh Saravanan et al. Data protection and security enhancement in cyber-physical systems using AI and blockchain
Ghonge et al. Cyber security and digital forensics: challenges and future trends
Om Kumar et al. Effective intrusion detection system for IoT using optimized capsule auto encoder model
Kaur et al. A blockchain-based machine learning intrusion detection system for internet of things
Houichi et al. A systematic approach for IoT cyber-attacks detection in smart cities using machine learning techniques
Papanikolaou et al. An autoML network traffic analyzer for cyber threat detection
Ghaffari et al. Securing internet of things using machine and deep learning methods: a survey
Faiz et al. Threats and Challenges for Security Measures on the Internet of Things.
Kranthi et al. An intelligent intrusion prediction and prevention system for software defined internet of things cloud networks
Panda et al. Blackhole attack prediction in wireless sensor networks using support vector machine
Roshan et al. A systematic review of deep learning approaches for computer network and information security
Sivasakthi et al. HybridRobustNet: enhancing detection of hybrid attacks in IoT networks through advanced learning approach
Pandey et al. Identification of botnet attacks using hybrid machine learning models
Singh et al. Cloud of things: a systematic review on issues and challenges in integration of cloud computing and internet of things
Karankar et al. A comprehensive survey on internet of things security: challenges and solutions
Iqbal et al. A top-down survey on securing IoT with machine learning: goals, recent advances and challenges