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The continued release of increasingly realistic image generation models creates a demand for synthetic image detectors. To build effective detectors we must first understand how factors like data source diversity, training methodologies and…

Computer Vision and Pattern Recognition · Computer Science 2024-11-27 Pablo Bernabeu-Perez , Enrique Lopez-Cuena , Dario Garcia-Gasulla

The study of criminal networks using traces from heterogeneous communication media is acquiring increasing importance in nowadays society. The usage of communication media such as phone calls and online social networks leaves digital traces…

Social and Information Networks · Computer Science 2017-03-07 Emilio Ferrara , Pasquale De Meo , Salvatore Catanese , Giacomo Fiumara

The geospatial analyst is required to apply art, science, and technology to measure relative positions of natural and man-made features above or beneath the earths surface, and to present this information either graphically or numerically.…

Databases · Computer Science 2013-04-12 J. A. Quaye-Ballard , R. An , A. B. Agyemang , N. Y. Oppong-Quayson , J. E. N. Ablade

Recovering deleted or hidden data is among most important duties of forensics investigators. Extensive utilisation of smartphones as subject, objects or tools of crime made them an important part of residual forensics. This chapter…

Cryptography and Security · Computer Science 2017-09-18 Bernard Chukwuemeka Ogazi-Onyemaechi , Ali Dehghantanha , Kim-Kwang Raymond Choo

Intelligent geographic information system (IGIS) is one of the promising topics in GIS field. It aims at making GIS tools more sensitive for large volumes of data stored inside GIS systems by integrating GIS with other computer sciences…

Databases · Computer Science 2016-01-28 Ayman Taha

Post-mortem iris recognition is an emerging application of iris-based human identification in a forensic setup, able to correctly identify deceased subjects even three weeks post-mortem. This technique thus is considered as an important…

Computer Vision and Pattern Recognition · Computer Science 2023-12-08 Rasel Ahmed Bhuiyan , Adam Czajka

Organizations concerned about digital or computer forensics capability which establishes procedures and records to support a prosecution for computer crimes could benefit from implementing an ISO 27001: 2013-compliant (ISMS Information…

Cryptography and Security · Computer Science 2023-12-12 Masoud Hayeri Khyavi

The internet landscape is growing and at the same time becoming more heterogeneous. Services are performed via computers and networks, critical data is stored digitally. This enables freedom for the user, and flexibility for operators. Data…

Cryptography and Security · Computer Science 2020-12-17 Simon D Duque Anton , Daniel Fraunholz , Daniel Schneider

Network forensics deals with the capture, recording and analysis of network events in order to discover evidential information about the source of security attacks in a court of law. This paper discusses the different tools and techniques…

Networking and Internet Architecture · Computer Science 2010-07-15 Natarajan Meghanathan , Sumanth Reddy Allam , Loretta A. Moore

The widespread availability of video recording through smartphones and digital devices has made video-based evidence more accessible than ever. Surveillance footage plays a crucial role in security, law enforcement, and judicial processes.…

Forensic science often involves the comparison of crime-scene evidence to a known-source sample to determine if the evidence and the reference sample came from the same source. Even as forensic analysis tools become increasingly objective…

Applications · Statistics 2019-10-17 Amanda Luby , Anjali Mazumder , Brian Junker

The emergence of cloud computing technologies has changed the way we store, retrieve, and archive our data. With the promise of unlimited, reliable and always-available storage, a lot of private and confidential data are now stored on…

Cryptography and Security · Computer Science 2018-07-30 James Baldwin , Omar M. K. Alhawi , Simone Shaughnessy , Alex Akinbi , Ali Dehghantanha

Objectives: We introduce a new method for reducing crime in hot spots and across cities through ridge estimation. In doing so, our goal is to explore the application of density ridges to hot spots and patrol optimization, and to contribute…

Applications · Statistics 2022-11-16 Ben Moews , Jaime R. Argueta , Antonia Gieschen

Driven by an increasing prevalence of trackers, ever more IoT sensors, and the declining cost of computing power, geospatial information has come to play a pivotal role in contemporary predictive models. While enhancing prognostic…

Machine Learning · Computer Science 2024-01-30 Agathe Fernandes Machado , François Hu , Philipp Ratz , Ewen Gallic , Arthur Charpentier

For several decades, legal and scientific scholars have argued that conclusions from forensic examinations should be supported by statistical data and reported within a probabilistic framework. Multiple models have been proposed to quantify…

Applications · Statistics 2019-08-06 Cedric Neumann

Geospatial data statistics involve the aggregation and analysis of location data to derive the distribution of clients within geospatial. The need for privacy protection in geospatial data analysis has become paramount due to concerns over…

Cryptography and Security · Computer Science 2025-06-06 Chuan Zhang , Xuhao Ren , Zhangcheng Huang , Jinwen Liang , Jianzong Wang , Liehuang Zhu

In recent years, the unprecedented growth in digital payments fueled consequential changes in fraud and financial crimes. In this new landscape, traditional fraud detection approaches such as rule-based engines have largely become…

Machine Learning · Computer Science 2021-03-03 E. Kurshan , H. Shen , H. Yu

Interactive digital maps have revolutionized how people travel and learn about the world; however, they rely on pre-existing structured data in GIS databases (e.g., road networks, POI indices), limiting their ability to address geo-visual…

Human-Computer Interaction · Computer Science 2025-08-22 Jon E. Froehlich , Jared Hwang , Zeyu Wang , John S. O'Meara , Xia Su , William Huang , Yang Zhang , Alex Fiannaca , Philip Nelson , Shaun Kane

Visual object tracking has seen significant progress in recent years. However, the vast majority of this work focuses on tracking objects within the image plane of a single camera and ignores the uncertainty associated with predicted object…

Computer Vision and Pattern Recognition · Computer Science 2023-06-06 Colin Samplawski , Shiwei Fang , Ziqi Wang , Deepak Ganesan , Mani Srivastava , Benjamin M. Marlin

Digital media (e.g., photographs, video) can be easily created, edited, and shared. Tools for editing digital media are capable of doing so while also maintaining a high degree of photo-realism. While many types of edits to digital media…

Computer Vision and Pattern Recognition · Computer Science 2022-10-27 Brian DeCann , Kirill Trapeznikov