Abstract— Bot networks are a serious threat to cyber security, whose destructive behavior affects network performance directly. Detecting of infected HTTP communications is a big challenge because infected HTTP connections are clearly merged with other types of HTTP traffic. Cybercriminals prefer to use the web as a communication environment to launch application layer attacks and secretly enga...

We discuss location privacy issues in wireless sensor networks. We consider sensor nodes with more responsible roles and the need to protect locations of such nodes. Available countermeasures against various types of traffic analysis attacks are examined and their problems are identified. We do not propose new traffic analysis resistance technique. Instead, we draw attention to blanks in curren...

We present the traffic analysis problem and expose the most important protocols, attacks and design issues. Afterwards, we propose directions for further research. As we are mostly interested in efficient and practical Internet based protocols, most of the emphasis is placed on mix based constructions. The presentation is informal in that no complex definitions and proofs are presented, the aim...

Modern telecommunication networks are designed to support converged traffic including voice, data and video. [1] One major feature of these networks is that the input traffic is usually highly bursty.[2] Also, because these networks operate in a packet switching mode, there is usually a strong correlation between packet arrivals. Thus, for these networks the traditional Poisson traffic model ca...

Until recently, determinations of αs(MZ) from hadronic τ decays and the analysis of short-distance-sensitive lattice observables yielded results which, though precise, were not in good agreement. I review new analyses that bring these into good agreement and provide some details on the source of the main changes in the τ decay analysis.

Managing interest rate risk requires measuring it first. Duration analysis has become an important tool, allowing portfolio managers to measure the sensitivitv of their portfolios to changes in 'the level of interest rates. But duration analysis has a number of serious drawbacks. Standard duration analysis, for instance, allows for only parallel shifts in the term structure. Thus portfolio mana...

Traffic classification is a very important mathematical and statistical tool in communications and computer networking, which is used to find average and statistical information of the traffic passing through certain pipe or hub. The results achieved from a proper deployment of a traffic analysis method provide valuable insights, including: how busy a link is, the average end-toend delays, and ...

As traffic volumes increase on major intersecting arterials, the transportation engineer’s challenge is one of optimizing through traffic while providing adequate opportunities for leftturning vehicles. Increasing traffic volumes not only provide a proportionately higher number of leftturning vehicles, but also make it more difficult to negotiate a left turn due to increased opposing traffic. T...

Traffic analysis and traffic abnormality detection are emerged as an efficient way of detecting network attacks in recent years. The existing approaches can be improved by introducing a new model and a new analysis method of network user’s traffic behaviors. The description dimensions to network user’s traffic behaviors in the current approaches are high, resulting in high processing complexity...