Security involves safeguarding software systems, embedded systems IoT (Internet of Things), mobile systems, and cyber-physical systems from threats such as software vulnerabilities, attacks, and other types of malicious and harmful activity. CISE researchers apply a variety of techniques from a number of fields (program analysis, machine learning, computational social science) to better understand such systems and the way in which people interact with them and misuse them. Research in CISE includes development of automated dynamic malware-analysis techniques and tools to analyze potentially malicious samples. Another line of research involves hardening the security of wireless ingestible and implantable medical devices (IMDs), such as on-demand drug delivery systems and bio-engineered wireless medical sensors, for diagnostic and therapeutic purposes.

CISE Students Win CSS TC 2024 Paper Prize

The committee for the Outstanding Student Paper Prize 2024 announced this year’s prestigious award recipients. Among six national nominations, one paper written by two CISE students stood out for its innovative contributions to the field of smart cities. Ehsan Sabouni and H.M. Sabbir Ahmad and their collaborators are exemplars of academic excellence and collaborative spirit. […]

SWIFT: Facilitating Spectrum Access by Noise Guessing

Wireless technologies play an essential role in enabling growth and prosperity in societies by supporting business, government, science and education, defense, and health sectors. The boom of connected Internet of Things (IoT) nodes and 5G wireless communications will lead to a many-fold increase in wireless data traffic. This data storm and connectivity-in-everything model will result […]

Wenchao Li Receives Prestigious NSF Career Award

Wenchao Li (ECE, SE, CS) was awarded a National Science Foundation Faculty Early Career Development (CAREER) award to further his research on specification-guided imitation learning (IL). Li uses a combination of formal methods and machine learning to build safe and trustworthy autonomous systems. The CAREER award is a five-year grant that will support Li’s research […]

A Coordinated Approach to Cyber-Situation Awarness Based on Traffic Anomaly Detection

This project aims at developing a suite of anomaly detection algorithms and tools monitoring network traffic and operating both at the local (resource) level and the wider (global) network level. It will leverage recent work by the PIs on statistical temporal anomaly detection using random and Markovian models and on detecting wider network spatial anomalies […]

A Breakthrough in Security for Decentralized Multi-Robot Systems

In disaster situations like hurricanes, collapsed buildings, and nuclear incidents, the difference between a one-hour response time and a one-day response time can mean life or death. To mitigate these situations, multi-robot systems (MRS) are being increasingly used in search-and-rescue (SAR) operations. Unmanned robots have assisted in SAR efforts following Hurricane Katrina, the Fukushima Daiichi […]

Collaborative Research: SaTC: CORE: Medium: App-driven Web Browsing: Novel Risks, Vulnerabilities, and Defenses

The modern web ecosystem is comprised of a multitude of non-browser applications that, while having the same ability to process and render web content, are developed with different technologies and exhibit different capabilities. In this new browsing paradigm, app developers are responsible for configuring and implementing security features that are already standardized in traditional browsers. […]

Faster, Greener, Cheaper, More Secure: Yazicigil’s GRAND Project Pushes Forward with New Funding

CISE Faculty Affiliate Professor Rabia Yazicigil (ECE)  and her MIT collaborators are on a roll. The multi-institutional team behind the GRAND universal decoder algorithm and its first realization in hardware have been awarded $5M in funding by the Defense Advanced Research Program Agency (DARPA) to continue developing revolutionary improvements to wireless communications. Alongside co-PIs Professor […]

Privacy-Preserving Cloud Computing using Homomorphic Encryption

In today’s data-driven world, a large amount of data is collected by billions of devices (cell phones, autonomous cars, handheld game consoles, etc.), and this data is then processed in the cloud. A common approach to maintain data privacy in the cloud is to keep the data in encrypted form, and we decrypt the data […]

IRS Stares Technological Advancement Issues in the Face

Almost every American is used to sharing information with the Internal Revenue Service (IRS), but people were about to become eerily intimate with the agency after they announced the launch of a new website requirement:  live video identity verification. The agency partnered with the third-party company to prevent scammers from benefiting off of the […]

Arslan Riaz awarded COMSNETS 2022 Best Research Demo Award

Arslan Riaz, PhD candidate (ECE), won the “Best Research Demo” award at the 14th International Conference on COMmunication Systems & NETworkS (COMSNETS 2022) January 3-8, 2022. Riaz demonstrated the first fully-integrated universal Maximum Likelihood Decoder in 40 nm CMOS using the Guessing Random Additive Noise Decoding (GRAND) algorithm. This novel technology provides a universal system for […]