Recent research has proposed a moving target defense (MTD) approach that actively changes transmission line susceptance to preclude stealthy false data injection (FDI) attacks against the state estimation of a smart grid. However, existing studies were often conducted under a weak adversarial setting, in that they ignore the possibility that alert attackers can also try to detect the activation...

This paper examines how moving target defenses (MTD) implemented in power systems can be countered by unsupervised learning-based false data injection (FDI) attack and MTD combined with physical watermarking to enhance the system resilience. A novel intelligent attack, which incorporates dimensionality reduction density-based spatial clustering, is developed shown effective maintaining stealth ...

For moving target defense (MTD) to shift advantage away from cyber attackers, we need techniques which render systems unpredictable but still manageable. We formulate a partially observable Markov decision process (POMDP) facilitates optimized MTD capable of thwarting attacks without excess overhead. This paper describes POMDP formulation including the use an absorbing final state and attack pe...

Represented by reactive security defense mechanisms, cyber possesses a static, reactive, and deterministic nature, with overwhelmingly high costs to defend against ever-changing attackers. To change this situation, researchers have proposed moving target (MTD), which introduces the concept of an attack surface define in brand-new manner, aiming provide dynamic, continuous, proactive mechanism. ...

Recent wavelet research has primarily focused on real-valued wavelet bases. However, the complex filterbanks provide much convenience for complex signal processing. For example, in radar and sonar signal processing, the complex signals from the receiver can be efficiently processed with complex filterbanks rather than real filterbanks. Specifically, the positive and negative Doppler frequencies...

With the increased frequency and intensity of denial-of-service (DoS) attacks on critical cloud-hosted services, resource adaptation schemes adopted by cloud service providers (CSPs) need to be intelligent. Specifically, they adaptable attack behavior dynamic curb over-utilization. The concept moving target defense (MTD) has recently emerged as an effective agile mechanism against DoS that part...

The Global Navigation Satellite System (GNSS)-based passive bistatic radar (PBR) which uses the GNSS signal as illuminators of opportunity is studied for moving target detection (MTD). GNSS-based PBR has many advantages due to removal transmitting device; however, its fundamental limitation low power density signal. Therefore, integration time should be sufficiently long obtain a promising maxi...

We propose a novel dynamic host mutation (DHM) architecture based on moving target defense (MTD) that can actively cope with cyberattacks. The goal of the DHM is to break the cyber kill chain, expand the attack surface to increase the attacker’s target analysis cost, and disrupt the attacker’s fingerprinting to disable the server trace. We define the participating entities that share the MTD po...

This paper proposes a modified sensor measurement expression for moving target defense (MTD) strategy to detect coordinated cyber-physical attacks (CCPAs). Essentially, the MTD characteristics detecting false data injection (FDIAs) differ from those used CCPAs. In first case, performance in FDIAs at attack-execution stage is mainly considered, which generally denoted by detection probability; h...

Reinforcement learning (RL) is a promising approach for intelligent agents to protect given system under highly hostile environments. RL allows the agent adaptively make sequential defense decisions based on perceived current state of security aiming achieve maximum performance in terms fast, efficient, and automated detection, threat analysis, response threat. In this paper, we propose deep re...