Automated Transit Networks (ATN): A Review of the State of the Industry and Prospects for the Future, MTI Report 12-31

The concept of Automated Transit Networks (ATN) - in which fully automated vehicles on exclusive, grade-separated guideways provide on-demand, primarily non-stop, origin-to-destination service over an area network – has been around since the 1950s. However, only a few systems are in current operation around the world. ATN does not appear “on the radar” of urban planners, transit professionals, or policy makers when it comes to designing solutions for current transit problems in urban areas. This study explains ATN technology, setting it in the larger context of Automated Guideway Transit (AGT); looks at the current status of ATN suppliers, the status of the ATN industry, and the prospects of a U.S.-based ATN industry; summarizes and organizes proceedings from the seven Podcar City conferences that have been held since 2006; documents the U.S./Sweden Memorandum of Understanding on Sustainable Transport; discusses how ATN could expand the coverage of existing transit systems; explains the opportunities and challenges in planning and funding ATN systems and approaches for procuring ATN systems; and concludes with a summary of the existing challenges and opportunities for ATN technology. The study is intended to be an informative tool for planners, urban designers, and those involved in public policy, especially for urban transit, to provide a reference for history and background on ATN, and to use for policy development and research

Jewish Studies in the Digital Age

The digitisation boom of the last two decades, and the rapid advancement of digital tools to analyse data in myriad ways, have opened up new avenues for humanities research. This volume discusses how the so-called digital turn has affected the field of Jewish Studies, explores the current state of the art and probes how digital developments can be harnessed to address the specific questions, challenges and problems in the field

Jewish Studies in the Digital Age

The digitisation boom of the last two decades, and the rapid advancement of digital tools to analyse data in myriad ways, have opened up new avenues for humanities research. This volume discusses how the so-called digital turn has affected the field of Jewish Studies, explores the current state of the art and probes how digital developments can be harnessed to address the specific questions, challenges and problems in the field

Applications in security and evasions in machine learning : a survey

In recent years, machine learning (ML) has become an important part to yield security and privacy in various applications. ML is used to address serious issues such as real-time attack detection, data leakage vulnerability assessments and many more. ML extensively supports the demanding requirements of the current scenario of security and privacy across a range of areas such as real-time decision-making, big data processing, reduced cycle time for learning, cost-efficiency and error-free processing. Therefore, in this paper, we review the state of the art approaches where ML is applicable more effectively to fulfill current real-world requirements in security. We examine different security applications' perspectives where ML models play an essential role and compare, with different possible dimensions, their accuracy results. By analyzing ML algorithms in security application it provides a blueprint for an interdisciplinary research area. Even with the use of current sophisticated technology and tools, attackers can evade the ML models by committing adversarial attacks. Therefore, requirements rise to assess the vulnerability in the ML models to cope up with the adversarial attacks at the time of development. Accordingly, as a supplement to this point, we also analyze the different types of adversarial attacks on the ML models. To give proper visualization of security properties, we have represented the threat model and defense strategies against adversarial attack methods. Moreover, we illustrate the adversarial attacks based on the attackers' knowledge about the model and addressed the point of the model at which possible attacks may be committed. Finally, we also investigate different types of properties of the adversarial attacks

Cyber-Security Solutions for Ensuring Smart Grid Distribution Automation Functions

The future generation of the electrical network is known as the smart grid. The distribution domain of the smart grid intelligently supplies electricity to the end-users with the aid of the decentralized Distribution Automation (DA) in which intelligent control functions are distributed and accomplished via real-time communication between the DA components. Internet-based communication via the open protocols is the latest trend for decentralized DA communication. Internet communication has many benefits, but it exposes the critical infrastructure’s data to cyber-security threats. Security attacks may not only make DA services unreachable but may also result in undesirable physical consequences and serious damage to the distribution network environment. Therefore, it is compulsory to protect DA communication against such attacks. There is no single model for securing DA communication. In fact, the security level depends on several factors such as application requirements, communication media, and, of course, the cost.There are several smart grid security frameworks and standards, which are under development by different organizations. However, smart grid cyber-security field has not yet reached full maturity and, it is still in the early phase of its progress. Security protocols in IT and computer networks can be utilized to secure DA communication because industrial ICT standards have been designed in accordance with Open Systems Interconnection model. Furthermore, state-of-the-art DA concepts such as Active distribution network tend to integrate processing data into IT systems.This dissertation addresses cyber-security issues in the following DA functions: substation automation, feeder automation, Logic Selectivity, customer automation and Smart Metering. Real-time simulation of the distribution network along with actual automation and data networking devices are used to create hardware-in-the-loop simulation, and experiment the mentioned DA functions with the Internet communication. This communication is secured by proposing the following cyber-security solutions.This dissertation proposes security solutions for substation automation by developing IEC61850-TLS proxy and adding OPen Connectivity Unified Architecture (OPC UA) Wrapper to Station Gateway. Secured messages by Transport Layer Security (TLS) and OPC UA security are created for protecting substation local and remote communications. Data availability is main concern that is solved by designing redundant networks.The dissertation also proposes cyber-security solutions for feeder automation and Logic Selectivity. In feeder automation, Centralized Protection System (CPS) is proposed as the place for making Decentralized feeder automation decisions. In addition, applying IP security (IPsec) in Tunnel mode is proposed to establish a secure communication path for feeder automation messages. In Logic Selectivity, Generic Object Oriented Substation Events (GOOSE) are exchanged between the substations. First, Logic Selectivity functional characteristics are analyzed. Then, Layer 2 Tunneling over IPsec in Transport mode is proposed to create a secure communication path for exchanging GOOSE over the Internet. Next, communication impact on Logic Selectivity performance is investigated by measuring the jitter and latency in the GOOSE communication. Lastly, reliability improvement by Logic Selectivity is evaluated by calculating reliability indices.Customer automation is the additional extension to the smart grid DA. This dissertation proposes an integration solution for the heterogeneous communication parties (TCP/IP and Controller Area Network) in Home Area Network. The developed solution applies Secure Socket Layer in order to create secured messages.The dissertation also proposes Secondary Substation Automation Unit (SSAU) for realtime communication of low voltage data to metering database. Point-to-Point Tunneling Protocol is proposed to create a secure communication path for Smart Metering data.The security analysis shows that the proposed security solutions provide the security requirements (Confidentiality, Integrity and Availability) for DA communication. Thus, communication is protected against security attacks and DA functions are ensured. In addition, CPS and SSAU are proposed to distribute intelligence over the substations level