Extracting hidden messages of MLSB steganography based on optimal stego subset

Yang, Ching-Nung; Luo, Xiangyang; Lu, Jicang; Liu, Fenlin

doi:10.1007/s11432-017-9328-2

Cited by 42 publications

(21 citation statements)

References 6 publications

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“…As the steganography techniques could be maliciously used for stealing confidential information, it is practically significant to carry on researches to forensics of the crime. For decades, researchers have proposed many techniques for the forensics of steganography, including the stego detection [2][3][4][5][6][7][8][9][10], the payload location [11][12][13][14][15], the embedding key restore [16,17], the secret message extraction [17], and the steganographer detection [18][19][20]. In practice, the covert communication entity on the Internet usually acts as the user of social platforms, whose location is virtual.…”

Section: Introductionmentioning

confidence: 99%

Geolocation of covert communication entity on the Internet for post-steganalysis

Zhang

Liu

Luo

2020

J Image Video Proc.

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Geolocation of covert communication entity is significantly important for the forensics of the crime but has significant challenges when the steganalyst locks the guilty actor IP and wants to know the physical location of the actor. This kind of post-steganalysis involves not only the stegos transmitted on the Internet but the IP package head and content. This paper presents a geolocation method for the location of the covert communication entity based on hophot path coding. The method estimates the location of the covert communication entity by combining the path and delay between probes and the covert communication entity IP, which improves the deficiency that similar delays do not necessarily mean close geographical locations of the IPs. Moreover, the similarity between the IPs' paths can be measured by coding the paths between IPs and probes. The results of a series of experiments show that the median error of the proposed method is within 6.16 km using different thresholds.

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Section: Introductionmentioning

confidence: 99%

Geolocation of covert communication entity on the Internet for post-steganalysis

Zhang

Liu

Luo

2020

J Image Video Proc.

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“…In the future, we will expand to more process scenarios, and we will deploy more devices and protocols such as robotic control systems and other processes of the power grid. Additionally, we will introduce the steganography technology [Zhang, Qin, Zhang et al (2018)] to conceal attacks, and add steganalysis [Yang, Luo, Lu et al (2018); Ma, Luo, Li et al (2018)] and machine learning [Xiang, Zhao, Li et al (2018)] technology in order to evaluate the security.…”

Section: Resultsmentioning

confidence: 99%

MSICST: Multiple-Scenario Industrial Control System Testbed for Security Research

Xu¹,

Tao²,

Yang³

et al. 2019

Computers, Materials &Amp; Continua

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A security testbed is an important aspect of Industrial Control System (ICS) security research. However, existing testbeds still have many problems in that they cannot fully simulate enterprise networks and ICS attacks. This paper presents a Multiple-Scenario Industrial Control System Testbed (MSICST), a hardware-in-the-loop ICS testbed for security research. The testbed contains four typical process scenarios: thermal power plant, rail transit, smart grid, and intelligent manufacturing. We use a combination of actual physical equipment and software simulations to build the process scenario sand table and use real hardware and software to build the control systems, demilitarized zone, and enterprise zone networks. According to the ICS cyber kill chain, the attacker is modeled, and two typical attack scenarios are constructed in the testbed. Through research into this security solution, whitelist-based host protection and a new Intrusion Detection System (IDS) are proposed and tested.

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“…From the security analysis and experimental results, the proposed scheme is proven to possess anonymity, traceability and authentication functionalities. In the future, it should be an interesting issue to transmit the signature by steganography [Zhang, Qin, Zhang et al (2018)] because of its excellent imperceptible in human sense system and statistic [Yang, Luo, Lu et al (2018)].…”

Section: Discussionmentioning

confidence: 99%

A Fair Blind Signature Scheme to Revoke Malicious Vehicles in VANETs

Wang¹,

Jiang²,

Zhao³

et al. 2019

Computers, Materials &Amp; Continua

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With the rapid development of IoT (Internet of Things), VANETs (Vehicular Ad-Hoc Networks) have become an attractive ad-hoc network that brings convenience into people's lives. Vehicles can be informed of the position, direction, speed and other real-time information of nearby vehicles to avoid traffic jams and accidents. However, VANET environments could be dangerous in the absence of security protection. Because of the openness and self-organization of VANETs, there are plenty of malicious pathways. To guarantee vehicle security, the research aims to provide an effective VANET security mechanism that can track malicious vehicles as necessary. Therefore, this work focuses on malicious vehicles and proposes an anonymous authentication scheme in VANETs based on the fair blind signature to protect vehicle security.

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Extracting hidden messages of MLSB steganography based on optimal stego subset

Cited by 42 publications

References 6 publications

Geolocation of covert communication entity on the Internet for post-steganalysis

Geolocation of covert communication entity on the Internet for post-steganalysis

MSICST: Multiple-Scenario Industrial Control System Testbed for Security Research

A Fair Blind Signature Scheme to Revoke Malicious Vehicles in VANETs

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