Results 71 to 80 of about 4,232,927 (186)

Detecting False Data Injection in Smart Grid Overcurrent Relay Settings Using an AE–GAN–SVM Framework

IET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.
This paper introduces a novel protection‐aware AE–GAN–SVM hybrid framework designed to detect and mitigate coordinated false data injection attacks targeting PMU and relay‐setting domains. By integrating topology‐aware generative modelling with swarm robotics search and rescue (SRSR) optimisation, the framework enhances reliability and cyber‐physical ...
Mohammad Bakhshipour, Farhad Namdari, Mohammad Bagher Dolatshahi   +2 more
wiley   +1 more source

Implementing an IPv6 Moving Target Defense on a Live Network

, 2012
The goal of our research is to protect sensitive communications, which are commonly used by government agencies, from eavesdroppers or social engineers.
Marchany, Randolph C., Tront, Joseph G., Dunlop, Matthew, Groat, Stephen   +3 more
core  

CHAOS: An SDN-Based Moving Target Defense System [PDF]

, 2017
Moving target defense (MTD) has provided a dynamic and proactive network defense to reduce or move the attack surface that is available for exploitation. However, traditional network is difficult to realize dynamic and active security defense effectively
Daochen Zha, Juan Wang, Huanguo Zhang, Fei Yan, Hongxin Hu, Yuan Shi, Jianwei Huang, Feng Xiao, Bo Zhao   +8 more
core   +1 more source

Topology switching-based moving target defense against false data injection attacks on a power system

International Journal of Electrical Power & Energy Systems
False data injection attacks (FDIAs), as strategically designed cyberattacks, can bypass bad data detection mechanisms and thus pose potential economic and stability risks to power systems. In addition to increasing the detection capability of the system,
Qi Wang, Shutan Wu, Zhong Wu, Jianxiong Hu, Quanpeng He, Yujian Ye, Yi Tang   +6 more
doaj   +1 more source

SEDM: A Safety‐Enhanced Decision‐Making Framework for Autonomous Driving by Integrating Large Language Models and XGBoost

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
SEDM is a three‐component safety framework that converts sensor data into concise language tokens, runs a low‐rank adaptation‐fine‐tuned, chain‐of‐thought large language model (LLM) on the edge for sub‐100 ms decisions, and validates each plan in real time with an XGBoost safety shield.
Jun Li, Baozhu Chen, Kai Xu, Xiaohan Yang, Mengting Sun, Guojun Li, Haojie Du   +6 more
wiley   +1 more source

Reconfigurable Moving Target Defense System using Virtualization

, 2015
Moving Target Defense (MTD) allows for a system to change its attack surface in either a proactive or reactive way. By changing the attack surface, we can dramatically increase the amount of time and resources spent by the attacker, and in some cases can
Portante, Anthony
core   +1 more source

Stochastic Petri Net Modeling and Evaluation of Moving Target Defense With Decoy Servers and IP Address Shuffling

IEEE Access
Moving Target Defense (MTD) reduces attacker advantage by repeatedly changing a system’s exposed configuration. Decoy servers and IP address shuffling are widely used MTD primitives, but configuring them jointly is difficult: effectiveness depends
Lucas Vinicius Silva Dos Santos, Luis Guilherme Sousa E. Silva, Melissa Oliveira Alves, Leonel Feitosa Correia, Jose Miqueias De Araujo Pereira, Lucas Silva Lopes, Paulo Antonio Leal Rego, Francisco Airton Silva, Damsub Lim, Dugki Min, Tuan Anh Nguyen   +10 more
doaj   +1 more source

Abstracts

Molecular Oncology, Volume 20, Issue S1, Page 1-692, August 2026.
Abstracts submitted to the ‘EACR 2026 Congress: Innovative Cancer Science’, from 08–11 June 2026 and accepted by the Congress Organising Committee are published in this Supplement of Molecular Oncology, an affiliated journal of the European Association for Cancer Research (EACR).
wiley   +1 more source

Enhancing Microservice Security Through Adaptive Moving Target Defense Policies to Mitigate DDoS Attacks in Cloud-Native Environments

Future Internet
Cloud-native microservice architectures offer scalability and resilience but introduce complex interdependencies and new attack surfaces, making them vulnerable to resource-exhaustion Distributed Denial-of-Service (DDoS) attacks.
Yuyang Zhou, Guang Cheng, Kang Du
doaj   +1 more source

Moving Target Defense (MTD) Market by 2030

The global Moving Target Defense (MTD) market, valued at USD 219.5 million in 2024, is rapidly growing to USD 716.1 million by 2030 (21.79% CAGR) as organizations adopt dynamic system reconfiguration and adaptive defenses to proactively counter increasingly sophisticated cyber threats.
openaire   +2 more sources