A Distributed Denial of Service (DDoS) attack is a major security threat for networks and Internet services. Attackers can generate attack traffic similar to normal network traffic using sophisticated attacking tools. In such a situation, many intrusion detection systems fail to identify DDoS attack in real time. However, DDoS attack traffic behaves differently from legitimate network traffic i...

The automated detection of atypical and critical traffic situations is essentially important to help to understand driver behaviour, to find functional correlations between traffic conflicts and real accidents, and eventually, to prevent, particularly severe accidents. In this paper, a tool chain is introduced that enables fully automated traffic situation detection in wide-area traffic on the ...

Distributed Denial of Service attacks are becoming very popular nowadays. The easy access to services and resources that can be used for this purpose, and the high resulting amount of damage, are the main reasons for this. Current detection and mitigation systems are not accurate enough and can be very expensive. Previous research has led to detection methods that even though can be accurate fo...

This paper presents a systematic method for DDoS attack detection. DDoS attack can be considered system anomaly or misuse from which abnormal behavior is imposed on network traffic. Attack detection can be performed via abnormal behavior identification. Network traffic characterization with behavior modeling could be a good guidance of attack detection. Aggregated traffic has been found to be s...

Recent years, the transportation efficiency and related issues have become one of the main focuses of the global world. Along this line, intelligent transportation systems (ITS) based on Internet of Things (IoT) has become a common solution to may transportation problems, such as traffic prediction, road status evaluation, traffic accident detection, etc. In this paper, we focus on the traffic ...

Currently, the primary concerns on Internet are security and privacy, particularly in encrypted communications to prevent snooping modification of Domain Name System (DNS) data by hackers who may attack using HTTP protocol gain illegal access information. DNS over HTTPS (DoH) is new that has made remarkable progress encrypting traffic modifying spying. To alleviate these challenges, this study ...

The importance of network security has grown tremendously and intrusion prevention/detection systems (IPS/IDS) have been widely developed to insure the security of network against suspicious threat. Computer network intrusion detection and prevention system consist of collecting traffic data, analyzing them based on detection rules and generate alerts or dropping them if necessary. However IPS ...