Adversarial Attacks on Intrusion Detection Systems in In-Vehicle Networks of Connected and Autonomous Vehicles.

Rapid advancements in connected and autonomous vehicles (CAVs) are fueled by breakthroughs in machine learning, yet they encounter significant risks from adversarial attacks. This study explores the vulnerabilities of machine learning-based intrusion detection systems (IDSs) within in-vehicle networks (IVNs) to adversarial attacks, shifting focus from the common research on manipulating CAV perception models. Considering the relatively simple nature of IVN data, we assess the susceptibility of IVN-based IDSs to manipulation-a crucial examination, as adversarial attacks typically exploit complexity. We propose an adversarial attack method using a substitute IDS trained with data from the onboard diagnostic port. In conducting these attacks under black-box conditions while adhering to realistic IVN traffic constraints, our method seeks to deceive the IDS into misclassifying both normal-to-malicious and malicious-to-normal cases. Evaluations on two IDS models-a baseline IDS and a state-of-the-art model, MTH-IDS-demonstrated substantial vulnerability, decreasing the F1 scores from 95% to 38% and from 97% to 79%, respectively. Notably, inducing false alarms proved particularly effective as an adversarial strategy, undermining user trust in the defense mechanism. Despite the simplicity of IVN-based IDSs, our findings reveal critical vulnerabilities that could threaten vehicle safety and necessitate careful consideration in the development of IVN-based IDSs and in formulating responses to the IDSs' alarms.

Is COVID-19 Being Used to Spread Malware.

With the rising number of people using social networks after the pandemic of COVID-19, cybercriminals took the advantage of (i) the increased base of possible victims and (ii) the use of a trending topic as the pandemic COVID-19 to lure victims and attract their attention and put malicious content to infect the most possible number of people. Twitter platform forces an auto-shortening to any included URL within a 140-character message called "tweet" and this makes it easier for the attackers to include malicious URLs within Tweets. Here comes the need to adopt new approaches to resolve the problem or at least identify it to better understand it to find a suitable solution. One of the proven effective approaches is the adaption of machine learning (ML) concepts and applying different algorithms to detect, identify, and even block the propagation of malware. Hence, this study's main objectives were to collect tweets from Twitter that are related to the topic of COVID-19 and extract features from these tweets and import them as independent variables for the machine learning models to be developed later, so they would identify imported tweets as to be malicious or not.

Disrupting drive-by download networks on Twitter.

This paper tests disruption strategies in Twitter networks containing malicious URLs used in drive-by download attacks. Cybercriminals use popular events that attract a large number of Twitter users to infect and propagate malware by using trending hashtags and creating misleading tweets to lure users to malicious webpages. Due to Twitter's 280 character restriction and automatic shortening of URLs, it is particularly susceptible to the propagation of malware involved in drive-by download attacks. Considering the number of online users and the network formed by retweeting a tweet, a cybercriminal can infect millions of users in a short period. Policymakers and researchers have struggled to develop an efficient network disruption strategy to stop malware propagation effectively. We define an efficient strategy as one that considers network topology and dependency on network resilience, where resilience is the ability of the network to continue to disseminate information even when users are removed from it. One of the challenges faced while curbing malware propagation on online social platforms is understanding the cybercriminal network spreading the malware. Combining computational modelling and social network analysis, we identify the most effective strategy for disrupting networks of malicious URLs. Our results emphasise the importance of specific network disruption parameters such as network and emotion features, which have proved to be more effective in disrupting malicious networks compared to random strategies. In conclusion, disruption strategies force cybercriminal networks to become more vulnerable by strategically removing malicious users, which causes successful network disruption to become a long-term effort.

Effect of nebivolol beneficial on lipid profile and glycemic control in comparison with Atenolol in patients with type 2 DM with concomitant hypertension.

Blood pressure control in hypertensive patients with metabolic abnormalities is challenging because many antihypertensive drugs adversely affect metabolism. Nebivolol a 3rd generation vasodilatory ß-blocker offer neutral or beneficial effects on insulin sensitivity and lipid metabolism. The purpose of this study was to evaluate the effect of nebivolol and atenolol on glycemic control and lipid profile in type 2 diabetes patients with concomitant hypertension. We conducted a 12 weeks double blind randomized clinical trial at Sheik Zayed Hospital Rahim Yar Khan. Patients were randomly divided in to two groups. Patients in group were given tablet nebivolol 5-10mg while patients in group B were given tablet Atenolol 25-50mg/daily for a period of 12 weeks. Pre and post data were analyzed by SPSS 20. After 12 weeks, Both drugs lowered blood pressure significantly i.e. nebivolol (SBP from152±12 to130±14 with p=0.004, DBP from 95±12 to78±8.5 with p=0.002) Atenolol (SBP from148±16.5 to 128±15.5 with p=0.006, DBP from 90±10.5 to 82±12 with p=0.003).Similarly both Nebivolol and Atenolol did not any significant effect on glycemic control and lipid profile at 12 week with in groups. However when comparison was done between two groups, Nebivolol significantly reduced blood sugar (p=0.001), HbA1c (p=0.0032), total Cholesterol (p=0.002), triglycerides (p=0.012), LDL-Cholesterol (p=0.007) and HDL-Cholesterol (p=0.001) as compared to atenolol. In comparison with atenolol, Nebivolol has a beneficial effect on glycemic control and serum lipid profile.

Evaluation of the gamma probe guided sentinel lymph node biopsy and the blue dye technique in the management of breast cancer.

The aim of this study was to evaluate the efficacy of lymphoscintigraphy, gamma probe guided sentinel lymph node biopsy (GP-SLNB) in the management of breast cancer and study the follow-up results. Fifty two patients (mean age 47.28+/-9.7; range 23-69yr) with operable breast carcinoma and clinically negative axilla were studied. Scintigraphy for the detection of SLN was performed 2-4h before surgery by injecting technetium-99m labeled nanocolloid intradermally in the peritumoral region. First lymph node (LN) to appear on the scan was labeled as SLN and by using the GP was marked on the skin. Blue dye was also injected in all patients intraoperatively and hot and/or blue LN were studied in the axilla using the GP. The SLN was identified in 50 patients (96% success rate) while in 2 patients SLN was not visualized on imaging. The blue dye successfully localized SLN in 45/52 (87%) of the cases. Of the 52 patients, 16 had axillary lymph node dissection (ALND), including 14 SLNB positive for lymph node metastases cases and the two cases in which no SLN was imaged. In the remaining 36/52 cases SLN were negative for metastases and patients on the follow-up remained disease free (NPV 100% for a follow-up period of 12-36 months). The success rate, sensitivity, negative predictive value, and accuracy were 96%, 93%, 100%, and 98% using the GP-SLNB, 87%, 80%, 100%, and 93% using blue dye, and 98%, 100%, 100%, and 98% using combined methods, respectively. In conclusion, lymphoscintigraphy, GP-SLNB has a higher success rate and sensitivity versus the dye technique and when combined with the blue dye technique its sensitivity increases to 100%. We found a high negative predictive value for SLNB and the recurrence rate in these negative SLNB was comparable to the ALND.

Minimally invasive radionuclide-guided parathyroidectomy using 99mTc-sestamibi in patients with primary hyperparathyroidism: a single-institution experience.

OBJECTIVE: To evaluate the efficacy and usefulness of (99m)Tc-sestamibi scintigraphy and gamma probe localization of parathyroid glands in patients with primary hyperparathyroidism and establish radio-guided minimally invasive parathyroidectomy at Hussain Makki Al Jumma Center for Specialized Surgery, Kuwait. SUBJECTS AND METHODS: Twelve patients with primary hyperparathyroidism (mean age: 48 +/- 14 years; median age: 46 years; age range: 29-68 years) were evaluated. The diagnosis of hyperparathyroidism was established by elevated serum calcium and parathyroid hormone levels. All patients had a well-defined parathyroid lesion on previous standard (99m)Tc-sestamibi scintigraphy with or without ultrasound study. All had a normal thyroid gland, no history of familial hyperparathyroidism or multiple endocrine neoplasia nor any history of previous neck irradiation. On the day of surgery, patients were injected with 740 MBq (20 mCi) of (99m)Tc -sestamibi followed by a half-hour-delayed single standard pinhole view of the neck. A skin marker was placed on the basis of maximum count intensity during gamma probe localization. Patients were then sent for radio-guided minimally invasive parathyroidectomy. RESULTS: The preoperative localization of the affected gland was successful in all cases using a gamma probe and (99m)Tc -sestamibi scintigraphy. The pathological parathyroid tissue was localized and successfully removed with the gamma probe. The histopathological diagnosis was parathyroid adenoma in 11 cases and hyperplasia in the remaining one. All patients remained disease and symptom free at 12-month follow-up. CONCLUSIONS: Our initial experience with intraoperative use of a gamma probe to carry out minimally invasive parathyroidectomy was a useful, easy and safe procedure for treating patients with primary hyperparathyroidism.

Tc-99m-methoxy isobutyl isonitrile scintimammography: imaging postexcision biopsy for residual and multifocal breast tumor.

OBJECTIVES: The interpretation of mammogram in a postsurgical breast can be extremely complex and difficult because masses, calcifications, and architectural distortion can mimic cancer. Scintimammography has been proposed because it is not affected by these morphological changes and can potentially be used in patients after excision biopsy to assess any residual tumor, other foci of disease (multifocal disease). MATERIALS AND METHODS: The population comprised of 21 patients (mean age: 47.80 years, median age: 50 years, and age range: 26-77 years) evaluated for suspected residual breast cancer after excision biopsy. All patients received a 740-1000 MBq bolus IV injection of Tc-99m-methoxy isobutyl isonitrile (MIBI) preferably in pedal vein. At 5-10 min after injection, planar images were obtained in prone lateral and supine anterior positions using dual head gamma camera. MIBI uptake was scored as follows: 1 - as normal uptake (compared with contralateral side), 2 - focal low-intense uptake (equivocal), and 3 - focal high-intense uptake (positive). All patients had histopathology for tissue diagnosis. RESULTS: Of the 21 patients evaluated, scintimammography planar was found true positive in 13 and true negative in six. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were 92.85, 85.71, 92.85, 85.71, and 90.47%, respectively (P<0.001). Scintimammography detected 2/2 multifocal disease. CONCLUSION: In patients after excision biopsy, scintimammography with Tc-99m-MIBI is valuable in assessing residual or multifocal disease. Scintimammography has high positive predictive value and may influence planning further management.