On the Sender Cover Traffic Countermeasure against an Improved Statistical Disclosure Attack

Bagai, Rajiv; Lu, Huabo; Tang, Bin

doi:10.1109/euc.2010.90

Cited by 8 publications

(5 citation statements)

References 12 publications

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“…al. have focused on using the weighted mean instead of the arithmetic mean of the observed relative receiver popularity and their mathematical analysis on the attack model verifies their claim of the attacker not being obstacled by the sender-generated dummy traffic [13]. Troncoso et.…”

Section: Related Workmentioning

confidence: 95%

SDA-2H: Understanding the value of background cover against statistical disclosure

Al-Ameen

Gatz

Wright

2011

14th International Conference on Computer and Information Technology (ICCIT 2011)

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The statistical disclosure attack (SDA) is an effective method for compromising the anonymity of users in a mix based system. Cover traffic, in the form of fake or dummy messages sent by other users of the mix, is an effective defense to make the task of the attacker difficult. Our aim is to examine the effect that background cover-the cover traffic sent by other users-has on the effectiveness of statistical disclosure attacks. Since the original SDA does not explicitly account for background traffic volumes, we developed an extension to the SDA called SDA-2H that uses this information to improve upon the SDA. Based on this attack, we are able to quantify the importance of background cover traffic, which we show in simulation to be effective in many scenarios.

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Section: Related Workmentioning

confidence: 95%

SDA-2H: Understanding the value of background cover against statistical disclosure

Al-Ameen

Gatz

Wright

2011

14th International Conference on Computer and Information Technology (ICCIT 2011)

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“…In [ 18 ], an extension to the statistical disclosure attack, called SDA-2H, is presented, considering the situation where cover traffic, in the form of fake or dummy messages, is employed as a defense.…”

Section: The Family Of MIX Systems Attacksmentioning

confidence: 99%

Extracting Association Patterns in Network Communications

Portela

Villalba

Trujillo

et al. 2015

Sensors

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In network communications, mixes provide protection against observers hiding the appearance of messages, patterns, length and links between senders and receivers. Statistical disclosure attacks aim to reveal the identity of senders and receivers in a communication network setting when it is protected by standard techniques based on mixes. This work aims to develop a global statistical disclosure attack to detect relationships between users. The only information used by the attacker is the number of messages sent and received by each user for each round, the batch of messages grouped by the anonymity system. A new modeling framework based on contingency tables is used. The assumptions are more flexible than those used in the literature, allowing to apply the method to multiple situations automatically, such as email data or social networks data. A classification scheme based on combinatoric solutions of the space of rounds retrieved is developed. Solutions about relationships between users are provided for all pairs of users simultaneously, since the dependence of the data retrieved needs to be addressed in a global sense.

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“…On the other hand, deceptive packets were used to generate cover traffic to conceal the identity of sender-receiver pairs. The goal is to change the profile of the network traffic to counter statistical disclosure attacks that opt to determine recipients of a specific sender node [18][19] [20]. However, these techniques were not designed to protect a sink node that receives all packets.…”

Section: Related Workmentioning

confidence: 99%

Adaptive packet-combining to counter traffic analysis in Wireless Sensor Networks

Alsemairi

Younis

2015

2015 International Wireless Communications and Mobile Computing Conference (IWCMC)

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Wireless Sensor Networks (WSNs) have become an attractive choice for many applications that serve in hostile setup. The operation model of a WSN makes it possible for an adversary to determine the location of the base-station (BS) in the network by intercepting transmissions and employing traffic analysis techniques such as Evidence Theory. By locating the BS, the adversary can then target it with denial-of-service attacks. This paper promotes a novel strategy for countering such an attack by adaptively combining packet payloads. The idea is to trade off packet delivery latency for BS location anonymity. Basically, a node on a data route will delay the forwarding of a packet until one or multiple additional packets arrive and the payloads are then combined in a single packet. Such an approach decreases the number of evidences that an adversary will collect and makes the traffic analysis inclusive in implicating the BS position. Given the data delivery delay that will be imposed, the proposed technique is to be adaptively applied when the BS anonymity needs a boost. The simulation results confirm the effectiveness of the proposed technique.

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On the Sender Cover Traffic Countermeasure against an Improved Statistical Disclosure Attack

Cited by 8 publications

References 12 publications

SDA-2H: Understanding the value of background cover against statistical disclosure

SDA-2H: Understanding the value of background cover against statistical disclosure

Extracting Association Patterns in Network Communications

Adaptive packet-combining to counter traffic analysis in Wireless Sensor Networks

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