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Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks

SECURITY AND PRIVACY, Volume 8, Issue 2, March/April 2025.
ABSTRACT The Internet of Things (IoT) represents a vast network of devices connected to the Internet, making it easier for users to connect to modern technology. However, the complexity of these networks and the large volume of data pose significant challenges in protecting them from persistent cyberattacks, such as distributed denial‐of‐service (DDoS)
Zaed S. Mahdi, Rana M. Zaki, Laith Alzubaidi   +2 more
wiley   +1 more source

An improved agent-based adaptive protection model for distributed denial of service flooding attack and flash crowd flooding traffic [PDF]

, 2019
Recently, a serious disturbance for network security could be a Distributed Denial of Service (DDoS) attack. The advent of technological era has also brought along the threat of DDoS attacks for a variety of services and applications that use the ...
Ahmed Khalaf, Bashar
core   +1 more source

Detection of Distributed Denial of Service (DDoS) Attacks in IOT Based Monitoring System of Banking Sector Using Machine Learning Models

Sustainability, 2022
Cyberattacks can trigger power outages, military equipment problems, and breaches of confidential information, i.e., medical records could be stolen if they get into the wrong hands.
Umar Islam, Ali Muhammad, Rafiq Mansoor, Md. Shamim Hossain, Ijaz Ahmad, E. T. Eldin, Javed Ali Khan, Ateeq ur Rehman, Muhammad Shafiq   +8 more
semanticscholar   +1 more source

Robust DDoS attack detection with adaptive transfer learning

Computers & security
In the evolving cybersecurity landscape, the rising frequency of Distributed Denial of Service (DDoS) attacks requires robust defense mechanisms to safeguard network infrastructure availability and integrity.
Mulualem Bitew Anley, A. Genovese, Davide Agostinello, Vincenzo Piuri   +3 more
semanticscholar   +1 more source

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha, Mohammad Kamrul Hasan, Shayla Islam, Shailesh Khapre, Salwani Abdullah, Taher M. Ghazal, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nguyen Vo, Md Akhtaruzzaman   +9 more
wiley   +1 more source

DDoS attacks and machine‐learning‐based detection methods: A survey and taxonomy

Engineering Reports, 2023
Distributed denial of service (DDoS) attacks represent a significant cybersecurity challenge, posing a critical risk to computer networks. Developing an effective defense mechanism against these attacks is crucial but challenging, given their diverse ...
Mohammad Najafimehr, S. Zarifzadeh, S. Mostafavi   +2 more
semanticscholar   +1 more source

Graph neural network‐based attack prediction for communication‐based train control systems

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Advanced Persistent Threats (APTs) have emerged as one of the key security challenges to industrial control systems. APTs are complex multi‐step attacks, and they are naturally diverse and complex. Therefore, it is important to comprehend the behaviour of APT attackers and anticipate the upcoming attack actions.
Junyi Zhao, Tao Tang, Bing Bu, Qichang Li   +3 more
wiley   +1 more source

Defense mechanism of SDN application layer against DDoS attack based on API call management

网络与信息安全学报, 2022
Due to thelack of strict access control, identity authentication and abnormal call detection, attackers may develop malicious applications easily and then it leads to theabuse of the northbound interface API (application programming interface ...
Yang WANG, Guangming TANG, Shuo WANG, Jiang CHU   +1 more
doaj   +1 more source

Network attack detection at flow level

, 2011
In this paper, we propose a new method for detecting unauthorized network intrusions, based on a traffic flow model and Cisco NetFlow protocol application.
C. Douligeris, F. Afanasiev, J. Mirkovic, R.K.C. Chang   +3 more
core   +1 more source

Dynamic Resource Allocation Optimisation and Security‐Resilient Control for Bandwidth‐Limited Network Control Systems With Data Conflicts

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Networked control systems (NCSs) often suffer from performance degradation due to limited communication bandwidth, which can cause data transmission conflicts and packet loss. Existing scheduling strategies may fail to simultaneously meet the real‐time requirements and the importance of multisensor data, and they are particularly vulnerable ...
Da Chen, Kaibo Shi, Bin Guo, Kangkang Sun, Huaicheng Yan, Xiao Cai   +5 more
wiley   +1 more source