Search results for: Elisa Bertino

Items from 1 to 20 out of 340 results

article

An excellent venue for multidisciplinary research in civil and infrastructure engineering

Elisa Bertino

Computer‐Aided Civil and Infrastructure Engineering > 36 > 6 > 677 - 677

article

Pruning deep convolutional neural networks for efficient edge computing in condition assessment of infrastructures

Rih‐Teng Wu, Ankush Singla, Mohammad R. Jahanshahi, Elisa Bertino, more

Computer‐Aided Civil and Infrastructure Engineering > 34 > 9 > 774 - 789

Health monitoring of civil infrastructures is a key application of Internet of things (IoT), while edge computing is an important component of IoT. In this context, swarms of autonomous inspection robots, which can replace current manual inspections, are examples of edge devices. Incorporation of pretrained deep learning algorithms into these robots for autonomous damage detection is a challenging...

article

Social-collaborative determinants of content quality in online knowledge production systems: comparing Wikipedia and Stack Overflow

Sorin Adam Matei, Amani Abu Jabal, Elisa Bertino

Social Network Analysis and Mining > 2018 > 8 > 1 > 1-16

Online knowledge production sites, such as Wikipedia and Stack Overflow, are dominated by small groups of contributors. How does this affect knowledge quality and production? Does the persistent presence of some key contributors among the most productive members improve the quality of the knowledge, considered in the aggregate? The paper addresses these issues by correlating week-by-week value changes...

article

Android User Privacy Preserving Through Crowdsourcing

Bahman Rashidi, Carol Fung, Anh Nguyen, Tam Vu, more

IEEE Transactions on Information Forensics and Security > 2018 > 13 > 3 > 773 - 787

In current Android architecture, users have to decide whether an app is safe to use or not. Expert users can make savvy decisions to avoid unnecessary privacy breach. However, the majority of normal users are not technically capable or do not care to consider privacy implications to make safe decisions. To assist the technically incapable crowd, we propose DroidNet, an Android permission control framework...

article

Editorial

Elisa Bertino

Data Science and Engineering > 2017 > 2 > 4 > 253-254

article

Editor's Note

Elisa Bertino

IEEE Transactions on Dependable and Secure Computing > 2017 > 14 > 6 > 577

article

Real-Time Digital Signatures for Time-Critical Networks

Attila Altay Yavuz, Anand Mudgerikar, Ankush Singla, Ioannis Papapanagiotou, more

IEEE Transactions on Information Forensics and Security > 2017 > 12 > 11 > 2627 - 2639

The secure and efficient operation of time-critical networks, such as vehicular networks, smart-grid, and other smart-infrastructures, is of primary importance in today’s society. It is crucial to minimize the impact of security mechanisms over such networks so that the safe and reliable operations of time-critical systems are not being interfered. For instance, if the delay introduced by the crypto...

chapter

Learning information release policies for preventing intersection attacks

Saritha Arunkumar, Mudhakar Srivatsa, Elisa Bertino

MILCOM 2017 - 2017 IEEE Military Communications Conference (MILCOM) > 794 - 799

MILCOM 2017 - 2017 IEEE Military Communications Conference (MILCOM)

Location Based Services in the world of mobile devices has been used widely in all sectors and in various applications. It allows one to track the location, track services and also perfom other location based operations. Although it's uses are very significant, the information related to location has opened up opportunities for adversary to misuse the mobile clients. This paper addresses one such...

chapter

Provenance-Based Scientific Workflow Search

Amani Abu Jabal, Elisa Bertino, Geeth De Mel

2017 IEEE 13th International Conference on e-Science (e-Science) > 119 - 127

2017 IEEE 13th International Conference on e-Science (e-Science)

Due to data intensive and sophisticated tasks in scientific experiments, workflows have been widely used to enable repetitive task automation and data reproducibility. This yields to the need for effective and efficient search mechanisms for scientific workflows discovery as workflow retrieval systems require a model which fulfills several requirements: unification, accuracy, and rich representations...

chapter

Detection of Temporal Insider Threats to Relational Databases

Asmaa Sallam, Elisa Bertino

2017 IEEE 3rd International Conference on Collaboration and Internet Computing (CIC) > 406 - 415

2017 IEEE 3rd International Conference on Collaboration and Internet Computing (CIC)

The mitigation of insider threats against databases is a challenging problem as insiders often have legitimate access privileges to sensitive data. Therefore, conventional security mechanisms, such as authentication and access control, may be insufficient for the protection of databases against insider threats and need to be complemented with techniques that support real-time detection of access anomalies...

article

A Collaborative DDoS Defence Framework Using Network Function Virtualization

Bahman Rashidi, Carol Fung, Elisa Bertino

IEEE Transactions on Information Forensics and Security > 2017 > 12 > 10 > 2483 - 2497

High-profile and often destructive distributed denial of service (DDoS) attacks continue to be one of the top security concerns as the DDoS attacks volumes are increasing constantly. Among them, the SYN Flood attack is the most common type. Conventional DDoS defense solutions may not be preferable, since they demand highly capable hardware resources, which induce high cost and long deployment cycle...

article

Extending social networks with delegation

Adnan Ahmad, Brian Whitworth, Furkh Zeshan, Elisa Bertino, more

Computers & Security > 2017 > 70 > C > 546-564

Despite their enormous growth, current social networks lack a systematic approach to delegate rights – when an entity authorizes another to access the resources on its behalf. This paper proposes a delegation model based on socio-technical design and theory of cooperation and collaboration that best suits the requirements of social networks. The model is formulated through formal methods, designed...

article

Detecting deceptive engagement in social media by temporal pattern analysis of user behaviors: a survey

Qian Xiao, Elisa Bertino

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery > 7 > 5 > n/a - n/a

Deceptive engagement in social media, such as spamming, commenting, or rating with automatic scripts, spreading fabricated facts, seriously affects users’ trust on online services. Given the large volumes of information generated by users, effectively spotting users involved such deceptive engagement has become a challenging problem. Recent research has shown that techniques for analyzing temporal...

chapter

A Cyber-Provenance Infrastructure for Sensor-Based Data-Intensive Applications

Elisa Bertino, Murat Kantarcioglu

2017 IEEE International Conference on Information Reuse and Integration (IRI) > 108 - 114

2017 IEEE International Conference on Information Reuse and Integration (IRI)

This paper focuses on cyber infrastructures composed on sensor networks and conventional host-based systems and applications. In such an infrastructure, assuring data trustworthiness is critical and requires the acquisition and recording of provenance information. This paper discusses research directions to be addressed towards the development of effective provenance management systems. Directions...

article

Heimdall: Mitigating the Internet of Insecure Things

Javid Habibi, Daniele Midi, Anand Mudgerikar, Elisa Bertino

IEEE Internet of Things Journal > 2017 > 4 > 4 > 968 - 978

The Internet of Things (IoT) is built of many small smart objects continuously connected to the Internet. This makes these devices an easy target for attacks exploiting vulnerabilities at the network, application, and mobile level. With that it comes as no surprise that distributed denial of service attacks leveraging these vulnerable devices have become a new standard for effective botnets. In this...

chapter

A Game of Things: Strategic Allocation of Security Resources for IoT

Daniele Midi, Edoardo Serra, Elisa Bertino

2017 IEEE/ACM Second International Conference on Internet-of-Things Design and Implementation (IoTDI) > 185 - 190

2017 IEEE/ACM Second International Conference on Internet-of-Things Design and Implementation (IoTDI)

In many Internet of ing (IoT) application domains security is a critical requirement, because malicious parties can undermine the eectiveness of IoT-based systems by compromising single components and/or communication channels. us, a security infrastructure is needed to ensure the proper functioning of such systems even under aack. However, it is also critical that security be at a reasonable resource...

article

DBSAFE—An Anomaly Detection System to Protect Databases From Exfiltration Attempts

Asmaa Sallam, Elisa Bertino, Syed Rafiul Hussain, David Landers, more

IEEE Systems Journal > 2017 > 11 > 2 > 483 - 493

Attempts by insiders to exfiltrate data have become a severe threat to the enterprise. Conventional data security techniques, such as access control and encryption, must be augmented with techniques to detect anomalies in data access that may indicate exfiltration attempts. In this paper, we present the design and evaluation of DBSAFE, a system to detect, alert on, and respond to anomalies in database...

chapter

Privacy-Preserving Multi-Party Analytics over Arbitrarily Partitioned Data

Shagufta Mehnaz, Elisa Bertino

2017 IEEE 10th International Conference on Cloud Computing (CLOUD) > 342 - 349

2017 IEEE 10th International Conference on Cloud Computing (CLOUD)

Data-driven business processes are gaining popularity among enterprises now-a-days. In many situations, multiple parties would share data towards a common goal if it were possible to simultaneously protect the privacy of the individuals and organizations described in the data. Existing solutions for multi-party analytics require parties to transfer their raw data to a trusted mediator, who then performs...

chapter

Towards a Framework for Developing Cyber Privacy Metrics: A Vision Paper

Bhavani Thuraisingham, Murat Kantarcioglu, Elisa Bertino, Chris Clifton

2017 IEEE International Congress on Big Data (BigData Congress) > 256 - 265

2017 IEEE International Congress on Big Data (BigData Congress)

systems for providing data privacy, there is no general methodology for determining the extent to which these techniques, tools and systems reduce practical privacy risks. We need a comprehensive framework where the privacy and utility of multiple privacy-preserving techniques could be measured. This vision paper provides directions for designing such a framework.

chapter

Provenance-Based Analytics Services for Access Control Policies

Elisa Bertino, Amani Abu Jabal, Seraphin Calo, Christian Makaya, more

2017 IEEE World Congress on Services (SERVICES) > 94 - 101

2017 IEEE World Congress on Services (SERVICES)

Successful collaborations require information and resource sharing and thus adequate access control policy management systems that control sharing among the collaborating entities. Such management systems need to be flexible in order to adapt to different environments and thus be able to support access control policy evolution. However, when dealing with large sets of evolving policies it is critical...

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INFONA - science communication portal

Search results for: Elisa Bertino

An excellent venue for multidisciplinary research in civil and infrastructure engineering

Pruning deep convolutional neural networks for efficient edge computing in condition assessment of infrastructures

Social-collaborative determinants of content quality in online knowledge production systems: comparing Wikipedia and Stack Overflow

Android User Privacy Preserving Through Crowdsourcing

Editorial

Editor's Note

Real-Time Digital Signatures for Time-Critical Networks

Learning information release policies for preventing intersection attacks

Provenance-Based Scientific Workflow Search

Detection of Temporal Insider Threats to Relational Databases

A Collaborative DDoS Defence Framework Using Network Function Virtualization

Extending social networks with delegation

Detecting deceptive engagement in social media by temporal pattern analysis of user behaviors: a survey

A Cyber-Provenance Infrastructure for Sensor-Based Data-Intensive Applications

Heimdall: Mitigating the Internet of Insecure Things

A Game of Things: Strategic Allocation of Security Resources for IoT

DBSAFE—An Anomaly Detection System to Protect Databases From Exfiltration Attempts

Privacy-Preserving Multi-Party Analytics over Arbitrarily Partitioned Data

Towards a Framework for Developing Cyber Privacy Metrics: A Vision Paper

Provenance-Based Analytics Services for Access Control Policies

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